Compare commits

...

248 Commits

Author SHA1 Message Date
Jeffrey Morgan
09a6f76f4c fix error on ollama run with a non-existent model 2024-02-01 23:11:52 -08:00
Jeffrey Morgan
e135167484 Add multimodel support to ollama run in noninteractive mopde (#2317) 2024-02-01 21:33:06 -08:00
Jeffrey Morgan
38296ab352 clear previous images when submitting an image to ollama run (#2316) 2024-02-01 21:30:26 -08:00
Daniel Hiltgen
f43dea68d1 Merge pull request #2318 from dhiltgen/more_clean
Harden generate patching model
2024-02-01 20:41:29 -08:00
Daniel Hiltgen
e1f50377f4 Harden generate patching model
Only apply patches if we have any, and make sure to cleanup
every file we patched at the end to leave the tree clean
2024-02-01 19:34:36 -08:00
Jeffrey Morgan
7913104527 Improvements to ollama run for multimodal models (#2300) 2024-02-01 17:09:51 -08:00
Michael Yang
bfbf2f7cf7 Merge pull request #2296 from ollama/mxyng/img-tags
append image tags to user content
2024-02-01 13:16:59 -08:00
Michael Yang
fe3cbd014f Merge pull request #2298 from ollama/mxyng/debug-prompt
structured debug prompt
2024-02-01 13:16:49 -08:00
Michael Yang
3d6f48507a structured debug prompt 2024-02-01 11:56:28 -08:00
Michael Yang
f3761405c8 use image id 2024-02-01 11:52:42 -08:00
Michael Yang
e49dc9f3d8 fix tests 2024-02-01 11:48:11 -08:00
Michael Yang
d125510b4b remove image tags 2024-02-01 11:32:51 -08:00
Russell Canfield
1ca386aa9e Feature - Add Wingman Extension (#2313) 2024-02-01 11:16:24 -08:00
Michael Yang
fb56988014 account for image projection in token count 2024-02-01 09:50:48 -08:00
Michael Yang
d046bee790 use llm.ImageData for chat 2024-01-31 19:18:25 -08:00
Jeffrey Morgan
f11bf0740b use llm.ImageData 2024-01-31 19:13:48 -08:00
Michael Yang
8450bf66e6 trim images 2024-01-31 19:13:47 -08:00
Michael Yang
b4e11be8ef append image tags to user content 2024-01-31 19:13:10 -08:00
Bruce MacDonald
a896079705 preserve last system message from modelfile (#2289) 2024-01-31 21:45:01 -05:00
Michael Yang
583950c828 Merge pull request #2294 from ollama/mxyng/slog-source
update slog handler options
2024-01-31 15:29:11 -08:00
Michael Yang
8ac08a0eec update slog handler options
- consistent format by using text handler for debug and non-debug
- truncate source file to just the file name
2024-01-31 15:15:00 -08:00
Michael Yang
60f47be64c Merge pull request #2284 from ollama/mxyng/parse-raw
remove unnecessary parse raw
2024-01-31 09:40:48 -08:00
Daniel Hiltgen
6e56077ada Merge pull request #2263 from dhiltgen/bump_llamacpp
Bump llama.cpp to b1999
2024-01-31 08:39:41 -08:00
Hoang Nguyen
98ae9467bb Added MindMac to Community Integrations -> Web & Desktop section (#1957) 2024-01-31 07:48:37 -08:00
Richard Macarthy
b7a24af083 Add twinny vscode extension to Extensions and Plugins (#1950) 2024-01-31 06:25:06 -08:00
Michael Yang
c8b1f2369e remove unnecessary parse raw 2024-01-30 17:00:53 -08:00
Daniel Hiltgen
72b12c3be7 Bump llama.cpp to b1999
This requires an upstream change to support graceful termination,
carried as a patch.
2024-01-30 16:52:12 -08:00
Bruce MacDonald
0632dff3f8 trim chat prompt based on llm context size (#1963) 2024-01-30 15:59:29 -05:00
Maximilian Weber
509e2dec8a Update README.md (#2252)
Added - [Ollama for R - rollama](https://github.com/JBGruber/rollama) in Libraries in README.md
2024-01-30 11:56:51 -08:00
Daniel Hiltgen
78a48de804 Merge pull request #2256 from dhiltgen/container_logs
Add container hints for troubleshooting
2024-01-30 08:12:48 -08:00
Daniel Hiltgen
e7dbb00331 Add container hints for troubleshooting
Some users are new to containers and unsure where the server logs go
2024-01-29 08:53:41 -08:00
Jeffrey Morgan
2e06ed01d5 remove unknown CPPFLAGS option 2024-01-28 17:51:23 -08:00
Daniel Hiltgen
4072b5879b Merge pull request #2246 from dhiltgen/reject_cuda_without_avx
Don't disable GPUs on arm without AVX
2024-01-28 16:26:55 -08:00
Daniel Hiltgen
15562e887d Don't disable GPUs on arm without AVX
AVX is an x86 feature, so ARM should be excluded from
the check.
2024-01-28 15:22:38 -08:00
Jeffrey Morgan
f2245c7c77 print prompt with OLLAMA_DEBUG=1 (#2245) 2024-01-28 15:22:35 -08:00
Jeffrey Morgan
e4b9b72f2a Do not repeat system prompt for chat templating (#2241) 2024-01-28 14:15:56 -08:00
Daniel Hiltgen
311f8e0c3f Merge pull request #2243 from dhiltgen/harden_zero_gpus
Harden for zero detected GPUs
2024-01-28 13:30:44 -08:00
Daniel Hiltgen
f07f8b7a9e Harden for zero detected GPUs
At least with the ROCm libraries, its possible to have the library
present with zero GPUs.  This fix avoids a divide by zero bug in llm.go
when we try to calculate GPU memory with zero GPUs.
2024-01-28 13:13:10 -08:00
Daniel Hiltgen
e02ecfb6c8 Merge pull request #2116 from dhiltgen/cc_50_80
Add support for CUDA 5.0 cards
2024-01-27 10:28:38 -08:00
Daniel Hiltgen
c8059b4dcf Merge pull request #2224 from jaglinux/fix_rocm_get_version_message
ROCm: Correct the response string in rocm_get_version function
2024-01-27 07:29:32 -08:00
Jagadish Krishnamoorthy
59d87127f5 Update gpu_info_rocm.c 2024-01-26 22:08:27 -08:00
Patrick Devine
b5cf31b460 add keep_alive to generate/chat/embedding api endpoints (#2146) 2024-01-26 14:28:02 -08:00
Daniel Hiltgen
cc4915e262 Merge pull request #2214 from dhiltgen/reject_cuda_without_avx
Detect lack of AVX and fallback to CPU mode
2024-01-26 12:06:44 -08:00
Daniel Hiltgen
667a2ba18a Detect lack of AVX and fallback to CPU mode
We build the GPU libraries with AVX enabled to ensure that if not all
layers fit on the GPU we get better performance in a mixed mode.
If the user is using a virtualization/emulation system that lacks AVX
this used to result in an illegal instruction error and crash before this
fix.  Now we will report a warning in the server log, and just use
CPU mode to ensure we don't crash.
2024-01-26 11:36:03 -08:00
Michael Yang
e054ebe059 Merge pull request #2212 from ollama/mxyng/fix-build
fix build
2024-01-26 11:19:08 -08:00
Michael Yang
9d3dcfd0ec fix logging 2024-01-26 11:04:27 -08:00
Michael Yang
6e0ea5ecc8 Merge pull request #1916 from ollama/mxyng/inactivity-monitor
download: add inactivity monitor
2024-01-26 10:56:00 -08:00
Daniel Hiltgen
a47d8b2557 Merge pull request #2197 from dhiltgen/remove_rocm_image
Add back ROCm container support
2024-01-26 09:34:23 -08:00
Daniel Hiltgen
30c43c285c Merge pull request #2195 from dhiltgen/rocm_real_gpus
Ignore AMD integrated GPUs
2024-01-26 09:30:24 -08:00
Daniel Hiltgen
23a7ea593b Merge pull request #2209 from dhiltgen/harden_mgmt
Fix crash on cuda ml init failure
2024-01-26 09:30:13 -08:00
Daniel Hiltgen
75c44aa319 Add back ROCm container support
This adds ROCm support back as a discrete image.
2024-01-26 09:24:29 -08:00
Daniel Hiltgen
9d7b5d6c91 Ignore AMD integrated GPUs
Detect and ignore integrated GPUs reported by rocm.
2024-01-26 09:21:35 -08:00
Daniel Hiltgen
5d9c4a5f5a Fix crash on cuda ml init failure
The new driver lookup code was triggering after init failure due to a missing return
2024-01-26 09:18:33 -08:00
Daniel Hiltgen
197e420a97 Merge pull request #2196 from dhiltgen/remove_rocm_image
Switch back to ubuntu base
2024-01-25 16:50:32 -08:00
Daniel Hiltgen
a34e1ad3cf Switch back to ubuntu base
The size increase for rocm support in the standard image is problematic
We'll revisit multiple tags for rocm support in a follow up PR.
2024-01-25 16:46:01 -08:00
Michael Yang
2ae0556292 Merge pull request #1679 from ollama/mxyng/build-gpus
build cuda and rocm
2024-01-25 16:38:14 -08:00
Jeffrey Morgan
5be9bdd444 Update modelfile.md 2024-01-25 16:29:48 -08:00
Jeffrey Morgan
b706794905 Update modelfile.md to include MESSAGE 2024-01-25 16:29:32 -08:00
Michael Yang
a8c5413d06 only generate gpu libs 2024-01-25 15:41:56 -08:00
Michael Yang
5580de4571 archive ollama binaries 2024-01-25 15:40:16 -08:00
Michael Yang
946431d5b0 build cuda and rocm 2024-01-25 15:40:15 -08:00
Michael Yang
0610126049 remove env setting 2024-01-25 15:39:43 -08:00
Jeffrey Morgan
3ebd6a83fc update submodule to cd4fddb29f81d6a1f6d51a0c016bc6b486d68def 2024-01-25 13:54:11 -08:00
Jeffrey Morgan
a64570dcae Fix clearing kv cache between requests with the same prompt (#2186)
* Fix clearing kv cache between requests with the same prompt

* fix powershell script
2024-01-25 13:46:20 -08:00
Patrick Devine
7c40a67841 Save and load sessions (#2063) 2024-01-25 12:12:36 -08:00
Michael Yang
e64b5b07a2 Merge pull request #2181 from ollama/mxyng/stub-lint
stub generate outputs for lint
2024-01-25 11:55:15 -08:00
Michael Yang
9e1e295cdc Merge pull request #2175 from ollama/mxyng/refactor-tensor-read
refactor tensor read
2024-01-25 09:22:42 -08:00
Jeffrey Morgan
a643823f86 Update README.md 2024-01-24 21:36:56 -08:00
Michael Yang
8e5d359a03 stub generate outputs for lint 2024-01-24 17:36:10 -08:00
Daniel Hiltgen
a170888dd4 Merge pull request #2174 from dhiltgen/rocm_real_gpus
More logging for gpu management
2024-01-24 11:09:17 -08:00
Michael Yang
cd22855ef8 refactor tensor read 2024-01-24 10:48:31 -08:00
Daniel Hiltgen
013fd07139 More logging for gpu management
Fix an ordering glitch of dlerr/dlclose and add more logging to help
root cause some crashes users are hitting. This also refines the
function pointer names to use the underlying function names instead
of simplified names for readability.
2024-01-24 10:32:36 -08:00
Daniel Hiltgen
f63dc2db5c Merge pull request #2162 from dhiltgen/rocm_real_gpus
Report more information about GPUs in verbose mode
2024-01-23 17:45:40 -08:00
Jeffrey Morgan
eaa5a396d9 Update README.md 2024-01-23 16:08:15 -08:00
Jeffrey Morgan
8ed22f5d72 Update README.md 2024-01-23 14:38:01 -08:00
Daniel Hiltgen
987c16b2f7 Report more information about GPUs in verbose mode
This adds additional calls to both CUDA and ROCm management libraries to
discover additional attributes about the GPU(s) detected in the system, and
wires up runtime verbosity selection.  When users hit problems with GPUs we can
ask them to run with `OLLAMA_DEBUG=1 ollama serve` and share the results.
2024-01-23 11:37:02 -08:00
Jeffrey Morgan
950f636d64 Update README.md 2024-01-23 10:29:10 -08:00
Jeffrey Morgan
4458efb73a Load all layers on arm64 macOS if model is small enough (#2149) 2024-01-22 17:40:06 -08:00
Daniel Hiltgen
ceea599494 Merge pull request #2150 from dhiltgen/default_version
Set a default version using git describe
2024-01-22 17:38:27 -08:00
Daniel Hiltgen
3005ec74b3 Set a default version using git describe
If a VERSION is not specified, this will generate a version string that
represents the state of the repo.  For example `0.1.21-12-gffaf52e-dirty`
representing 12 commits away from 0.1.21 tag, on commit gffaf52e
and the tree is dirty.
2024-01-22 17:12:20 -08:00
Daniel Hiltgen
0759d8996e Merge pull request #2148 from dhiltgen/intel_mac
Refine Accelerate usage on mac
2024-01-22 16:56:58 -08:00
Daniel Hiltgen
0f5b843319 Refine Accelerate usage on mac
For old macs, accelerate seems to cause crashes, but for
AVX2 capable macs, it does not.
2024-01-22 16:25:56 -08:00
Jeffrey Morgan
ffaf52e1e9 update submodule to 011e8ec577fd135cbc02993d3ea9840c516d6a1c 2024-01-22 15:16:54 -08:00
Michael Yang
940b10b036 Merge pull request #2144 from jmorganca/mxyng/update-faq
faq: update to use launchctl setenv
2024-01-22 13:46:57 -08:00
Daniel Hiltgen
3bc28736cd Merge pull request #2143 from dhiltgen/llm_verbosity
Refine debug logging for llm
2024-01-22 13:19:16 -08:00
Michael Yang
93a756266c faq: update to use launchctl setenv 2024-01-22 13:10:13 -08:00
Daniel Hiltgen
a0a829bf7a Merge pull request #2142 from dhiltgen/debug_on_fail
Debug logging on init failure
2024-01-22 12:29:22 -08:00
Daniel Hiltgen
730dcfcc7a Refine debug logging for llm
This wires up logging in llama.cpp to always go to stderr, and also
turns up logging if OLLAMA_DEBUG is set.
2024-01-22 12:26:49 -08:00
Daniel Hiltgen
27a2d5af54 Debug logging on init failure 2024-01-22 12:08:22 -08:00
Jeffrey Morgan
5f81a33f43 update submodule to 6f9939d (#2115) 2024-01-22 11:56:40 -08:00
Michael Yang
6225fde046 Merge pull request #2102 from jmorganca/mxyng/fix-create-override
fix: remove overwritten model layers
2024-01-22 09:37:48 -08:00
Meng Zhuo
069184562b readline: drop not use min function (#2134) 2024-01-22 08:15:08 -08:00
Daniel Hiltgen
5576bb2348 Merge pull request #2130 from dhiltgen/more_faster
Make CPU builds parallel and customizable AMD GPUs
2024-01-21 16:14:12 -08:00
Daniel Hiltgen
2738837786 Merge pull request #2131 from dhiltgen/probe_cards_at_init
Probe GPUs before backend init
2024-01-21 16:13:47 -08:00
Daniel Hiltgen
ec3764538d Probe GPUs before backend init
Detect potential error scenarios so we can fallback to CPU mode without
hitting asserts.
2024-01-21 15:59:38 -08:00
Daniel Hiltgen
df54c723ae Make CPU builds parallel and customizable AMD GPUs
The linux build now support parallel CPU builds to speed things up.
This also exposes AMD GPU targets as an optional setting for advaced
users who want to alter our default set.
2024-01-21 15:12:21 -08:00
Daniel Hiltgen
fa8c990e58 Merge pull request #2127 from dhiltgen/rocm_container
Combine the 2 Dockerfiles and add ROCm
2024-01-21 11:49:01 -08:00
Daniel Hiltgen
da72235ebf Combine the 2 Dockerfiles and add ROCm
This renames Dockerfile.build to Dockerfile, and adds some new stages
to support 2 modes of building - the build_linux.sh script uses
intermediate stages to extract the artifacts for ./dist, and the default
build generates a container image usable by both cuda and rocm cards.
This required transitioniing the x86 base to the rocm image to avoid
layer bloat.
2024-01-21 11:37:11 -08:00
Jeffrey Morgan
89c4aee29e Unlock mutex when failing to load model (#2117) 2024-01-20 20:54:46 -05:00
Daniel Hiltgen
a447a083f2 Add compute capability 5.0, 7.5, and 8.0 2024-01-20 14:24:05 -08:00
Jeffrey Morgan
f32ea81b21 increase minimum overhead to 1024MiB (#2114) 2024-01-20 17:11:38 -05:00
Daniel Hiltgen
681a914990 Add support for CUDA 5.2 cards 2024-01-20 10:48:43 -08:00
Jeffrey Morgan
4c54f0ddeb sign dylibs on macOS (#2101) 2024-01-19 19:24:11 -05:00
Michael Yang
c08dfaa23d fix: remove overwritten model layers
if create overrides a manifest, first add the older manifest's layers to
the delete map so they can be cleaned up
2024-01-19 14:58:37 -08:00
Daniel Hiltgen
3b76e736ae Merge pull request #2100 from dhiltgen/more_wsl_globs
More WSL paths
2024-01-19 13:41:08 -08:00
Daniel Hiltgen
552db98bf1 More WSL paths 2024-01-19 13:23:29 -08:00
Daniel Hiltgen
fdcdfef620 Merge pull request #2099 from dhiltgen/fix_cuda_model_swap
Switch to local dlopen symbols
2024-01-19 12:22:04 -08:00
Daniel Hiltgen
6a042438af Switch to local dlopen symbols 2024-01-19 11:37:02 -08:00
Jeffrey Morgan
dc88cc3981 use gzip for runner embedding (#2067) 2024-01-19 13:23:03 -05:00
Daniel Hiltgen
62976087c6 Merge pull request #1999 from lainedfles/termux_android_cpu_only
Fix CPU-only build under Android Termux enviornment.
2024-01-18 17:16:53 -08:00
Self Denial
344342abdf Restore dyn_ext_server.c since RTLD_DEEPBIND has been removed 2024-01-18 17:30:42 -07:00
Self Denial
eb76f3e379 Fix CPU-only build under Android Termux enviornment.
Update gpu.go initGPUHandles() to declare gpuHandles variable before
reading it. This resolves an "invalid memory address or nil pointer
dereference" error.

Update dyn_ext_server.c to avoid setting the RTLD_DEEPBIND flag under
__TERMUX__ (Android).
2024-01-18 17:25:33 -07:00
Michael Yang
d017e3d0a6 Merge pull request #2060 from jmorganca/mxyng/fix-show
fix show handler
2024-01-18 16:02:27 -08:00
Michael Yang
aac9ab4db7 fix show handler 2024-01-18 15:36:50 -08:00
Michael Yang
1f5b7ff976 Merge pull request #1932 from jmorganca/mxyng/api-fields
api: add model for all requests
2024-01-18 14:56:51 -08:00
Michael Yang
e299831e2c Merge pull request #1958 from purificant/ci
ci: update setup-go action
2024-01-18 14:53:36 -08:00
Michael Yang
745b5934fa add model to ModelResponse 2024-01-18 14:32:55 -08:00
Michael Yang
a38d88d828 api: add model for all requests
prefer using req.Model and fallback to req.Name
2024-01-18 14:31:37 -08:00
Daniel Hiltgen
abec7f06e5 Merge pull request #2056 from dhiltgen/slog
Mechanical switch from log to slog
2024-01-18 14:27:24 -08:00
Michael Yang
e5da190bac Merge pull request #2020 from jmorganca/mxyng/install-fedora
install: pin fedora to max 37
2024-01-18 14:23:42 -08:00
Daniel Hiltgen
ecbfc0182f Go bump to v1.21 to pick up slog 2024-01-18 14:12:57 -08:00
Daniel Hiltgen
fedd705aea Mechanical switch from log to slog
A few obvious levels were adjusted, but generally everything mapped to "info" level.
2024-01-18 14:12:57 -08:00
Mike Bird
82ee019bfc add open interpreter to list of extensions (#2016) 2024-01-18 13:59:39 -08:00
Sachin Sachdeva
ad9dbc2a04 Haystack Ollama Integration (#2021)
Updated readme with the web link for haystack ollama integration
2024-01-18 13:38:32 -08:00
Daniel Hiltgen
fccdf4c635 Merge pull request #1987 from xyproto/archlinux
Let gpu.go and gen_linux.sh also find CUDA on Arch Linux
2024-01-18 13:32:10 -08:00
Daniel Hiltgen
d450fb1d1e Merge pull request #2055 from dhiltgen/cuda_docs
Refine the linux cuda/rocm developer docs
2024-01-18 12:07:31 -08:00
Daniel Hiltgen
df40b11d03 Merge pull request #2007 from dhiltgen/cpu_fallback
Add multiple CPU variants for Intel Mac
2024-01-18 11:32:29 -08:00
Daniel Hiltgen
9cd20b0ec8 Refine the linux cuda/rocm developer docs 2024-01-18 09:44:44 -08:00
Daniel Hiltgen
b992bf65fc Disable arm64 for test phase
The runners are x86 so we can only run binaries that match.
2024-01-17 19:26:13 -08:00
Daniel Hiltgen
1b249748ab Add multiple CPU variants for Intel Mac
This also refines the build process for the ext_server build.
2024-01-17 15:08:54 -08:00
Alexander F. Rødseth
cbe2adc78a Merge branch 'main' into archlinux 2024-01-17 12:50:11 +01:00
Michael Yang
d5a7353357 Merge pull request #2026 from jmorganca/mxyng/fix-windows
fix: normalize name path before splitting
2024-01-16 16:58:42 -08:00
Michael Yang
96cfb62641 fix: normalize name path before splitting 2024-01-16 16:48:29 -08:00
Daniel Hiltgen
7d00b5d110 Merge pull request #1915 from dhiltgen/bump_llama_with_new_dep
Bump llama.cpp to b1842 and add new cuda lib dep
2024-01-16 13:36:49 -08:00
Daniel Hiltgen
795674dd90 Bump llama.cpp to b1842 and add new cuda lib dep
Upstream llama.cpp has added a new dependency with the
NVIDIA CUDA Driver Libraries (libcuda.so) which is part of the
driver distribution, not the general cuda libraries, and is not
available as an archive, so we can not statically link it.  This may
introduce some additional compatibility challenges which we'll
need to keep an eye on.
2024-01-16 12:53:52 -08:00
Daniel Hiltgen
e282bdccdd Merge pull request #1990 from dhiltgen/ci_mac_cross
Add macos cross-compile CI coverage
2024-01-16 12:31:37 -08:00
Michael Yang
d9bfb2f08f install: pin fedora to max 37
repos for fedora 38 and newer do not exist as of this commit

```
$ dnf config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/fedora38/x86_64/cuda-fedora38.repo
Adding repo from: https://developer.download.nvidia.com/compute/cuda/repos/fedora38/x86_64/cuda-fedora38.repo
Status code: 404 for https://developer.download.nvidia.com/compute/cuda/repos/fedora38/x86_64/cuda-fedora38.repo (IP: 152.195.19.142)
Error: Configuration of repo failed
```
2024-01-16 11:45:21 -08:00
Michael Yang
598d6d5572 Merge pull request #1937 from jmorganca/mxyng/remove-client-py
remove client.py
2024-01-16 11:01:41 -08:00
Bruce MacDonald
a897e833b8 do not cache prompt (#2018)
- prompt cache causes inferance to hang after some time
2024-01-16 13:48:05 -05:00
Patrick Devine
eef50accb4 Fix show parameters (#2017) 2024-01-16 10:34:44 -08:00
Michael Yang
05d53de7a1 Merge pull request #1968 from jmorganca/mxyng/fix-request-retry
fix: request retry with error
2024-01-16 10:33:50 -08:00
Daniel Hiltgen
8795447dad Merge pull request #1966 from fpreiss/fpreiss/gen_linux_cuda_detection
improve cuda detection (rel. issue #1704)
2024-01-14 18:00:11 -08:00
Daniel Hiltgen
b3035112a1 Add macos cross-compile CI coverage 2024-01-14 10:38:59 -08:00
Daniel Hiltgen
95ad9a9fc8 Merge pull request #1988 from dhiltgen/fix_intel_mac
Fix typo in arm mac arch script
2024-01-14 08:45:18 -08:00
Daniel Hiltgen
3ca5f69ce8 Fix typo in arm mac arch script 2024-01-14 08:32:57 -08:00
Daniel Hiltgen
cfa6337960 Merge pull request #1982 from dhiltgen/fix_intel_mac
Fix intel mac build
2024-01-14 08:26:46 -08:00
Alexander F. Rødseth
f4bf1d514f Let gpu.go and gen_linux.sh also find CUDA on Arch Linux 2024-01-14 13:40:36 +01:00
Jeffrey Morgan
557110d0ba Disable mmap with lora layers (#1985) 2024-01-13 23:36:31 -05:00
Daniel Hiltgen
2ecb247276 Fix intel mac build
Make sure we're building an x86 ext_server lib when cross-compiling
2024-01-13 14:46:34 -08:00
Jeffrey Morgan
288ef8ff95 add gcc -lstdc++ flag for linux cpu (#1974) 2024-01-13 03:53:00 -05:00
Jeffrey Morgan
4cf17990f7 use g++ to build libext_server.so on linux (#1972) 2024-01-13 03:12:42 -05:00
Michael Yang
27331ae3a8 download: add inactivity monitor
if a download part is inactive for some time, restart it
2024-01-12 15:23:15 -08:00
Michael Yang
b6c0ef1e70 Merge pull request #1961 from jmorganca/mxyng/rm-double-newline
remove double newlines in /set parameter
2024-01-12 15:18:19 -08:00
Michael Yang
356d178f6e Merge pull request #1971 from jmorganca/mxyng/max-context-length
add max context length check
2024-01-12 15:10:25 -08:00
Michael Yang
eaed6f8c45 add max context length check 2024-01-12 14:54:07 -08:00
purificant
6a5bfc2ed6 update actions/setup-go 2024-01-12 22:27:25 +00:00
Michael Yang
cf29bd2d72 fix: request retry with error
this fixes a subtle bug with makeRequestWithRetry where an HTTP status
error on a retried request will potentially not return the right err
2024-01-12 13:32:27 -08:00
Fabian Preiss
905862e17b improve cuda detection (rel. issue #1704) 2024-01-12 21:59:19 +01:00
Patrick Devine
565f8a3c44 Convert the REPL to use /api/chat for interactive responses (#1936) 2024-01-12 12:05:52 -08:00
Michael Yang
5121b7ac9c remove double newlines in /set parameter 2024-01-12 11:21:15 -08:00
Michael Yang
a70262c6b2 Update README.md
Co-authored-by: Jeffrey Morgan <jmorganca@gmail.com>
2024-01-12 09:43:04 -08:00
Tristram Oaten
40a0a90a88 Add group delete to uninstall instructions (#1924)
After executing the `userdel ollama` command, I saw this message:

```sh
$ sudo userdel ollama
userdel: group ollama not removed because it has other members.
```

Which reminded me that I had to remove the dangling group too. For completeness, the uninstall instructions should do this too.

Thanks!
2024-01-12 00:07:00 -05:00
Michael Yang
cbe20c4375 update readme 2024-01-11 16:24:37 -08:00
Michael Yang
5ffbbea1d7 remove client.py 2024-01-11 15:53:10 -08:00
Daniel Hiltgen
3773fb6465 Merge pull request #1935 from dhiltgen/cpu_fallback
Fix up the CPU fallback selection
2024-01-11 15:52:32 -08:00
Daniel Hiltgen
7427fa1387 Fix up the CPU fallback selection
The memory changes and multi-variant change had some merge
glitches I missed.  This fixes them so we actually get the cpu llm lib
and best variant for the given system.
2024-01-11 15:27:06 -08:00
Michael Yang
f84537e0e0 Merge pull request #1934 from jmorganca/mxyng/fix-slices
fix build and lint
2024-01-11 14:36:20 -08:00
Michael Yang
d2be6387c9 fix typo 2024-01-11 14:25:21 -08:00
Michael Yang
d7af35d3d0 import fmt 2024-01-11 14:22:32 -08:00
Michael Yang
defc1dbd6e use x/exp/slices 2024-01-11 14:20:13 -08:00
Daniel Hiltgen
de2fbdec99 Merge pull request #1819 from dhiltgen/multi_variant
Support multiple LLM libs; ROCm v5 and v6; Rosetta, AVX, and AVX2 compatible CPU builds
2024-01-11 14:00:48 -08:00
Eduard van Valkenburg
f5faf79aa1 Add semantic kernel to Readme (#1931) 2024-01-11 14:40:23 -05:00
Michael Yang
f4f939de28 Merge pull request #1552 from jmorganca/mxyng/lint-test
add lint and test on pull_request
2024-01-11 09:37:45 -08:00
Daniel Hiltgen
39928a42e8 Always dynamically load the llm server library
This switches darwin to dynamic loading, and refactors the code now that no
static linking of the library is used on any platform
2024-01-11 08:42:47 -08:00
Daniel Hiltgen
d88c527be3 Build multiple CPU variants and pick the best
This reduces the built-in linux version to not use any vector extensions
which enables the resulting builds to run under Rosetta on MacOS in
Docker.  Then at runtime it checks for the actual CPU vector
extensions and loads the best CPU library available
2024-01-11 08:42:47 -08:00
Fabian Preiß
3bc8b9832b fix gpu_test.go Error (same type) uint64->uint32 (#1921) 2024-01-11 08:22:23 -05:00
Jeffrey Morgan
ab6be852c7 revisit memory allocation to account for full kv cache on main gpu 2024-01-11 01:45:31 -05:00
Daniel Hiltgen
052b33b81b DRY out the Dockefile.build 2024-01-10 17:27:51 -08:00
Daniel Hiltgen
8da7bef05f Support multiple variants for a given llm lib type
In some cases we may want multiple variants for a given GPU type or CPU.
This adds logic to have an optional Variant which we can use to select
an optimal library, but also allows us to try multiple variants in case
some fail to load.

This can be useful for scenarios such as ROCm v5 vs v6 incompatibility
or potentially CPU features.
2024-01-10 17:27:51 -08:00
Jeffrey Morgan
b24e8d17b2 Increase minimum CUDA memory allocation overhead and fix minimum overhead for multi-gpu (#1896)
* increase minimum cuda overhead and fix minimum overhead for multi-gpu

* fix multi gpu overhead

* limit overhead to 10% of all gpus

* better wording

* allocate fixed amount before layers

* fixed only includes graph alloc
2024-01-10 19:08:51 -05:00
Jeffrey Morgan
f83881390f revert submodule back to 328b83de23b33240e28f4e74900d1d06726f5eb1 2024-01-10 18:42:39 -05:00
Daniel Hiltgen
ac70ab6761 Merge pull request #1914 from dhiltgen/smarter_cuda_detection
Smarter GPU Management library detection
2024-01-10 15:21:56 -08:00
Daniel Hiltgen
3c49c3ab0d Harden GPU mgmt library lookup
When there are multiple management libraries installed on a system
not every one will be compatible with the current driver.  This change
improves our management library algorithm to build up a set of discovered
libraries based on glob patterns, and then try all of them until we're able to
load one without error.
2024-01-10 15:06:41 -08:00
Daniel Hiltgen
9754ae4c89 Support optional override of the target archictures
This can help speed up incremental builds when you're only testing one
archicture, like amd64.  E.g.
BUILD_ARCH=amd64 ./scripts/build_linux.sh && scp ./dist/ollama-linux-amd64 test-system:
2024-01-10 14:43:24 -08:00
Jeffrey Morgan
224fbf2795 update submodule to commit 1fc2f265ff9377a37fd2c61eae9cd813a3491bea until its main branch is fixed 2024-01-10 17:03:15 -05:00
Jeffrey Morgan
2c6e8f5248 Update submodule to 6efb8eb30e7025b168f3fda3ff83b9b386428ad6 (#1885)
* update submodule to `6efb8eb30e7025b168f3fda3ff83b9b386428ad6`
* unblock condition variable in `update_slots` when closing server
2024-01-10 16:48:38 -05:00
Jeffrey Morgan
34344d801c clean up cmake build directory when cross compiling macOS builds 2024-01-09 17:13:56 -05:00
Robin Glauser
e868c8a5c7 Update api.md (#1878)
Fixed assistant in the example response.
2024-01-09 16:21:17 -05:00
Jeffrey Morgan
c336693f07 calculate overhead based number of gpu devices (#1875) 2024-01-09 15:53:33 -05:00
Daniel Hiltgen
e89dc1d54b Merge pull request #1874 from dhiltgen/correct_cuda_min
Set corret CUDA minimum compute capability version
2024-01-09 11:37:22 -08:00
Daniel Hiltgen
1961a81f03 Set corret CUDA minimum compute capability version
If you attempt to run the current CUDA build on compute capability 5.2
cards, you'll hit the following failure:
cuBLAS error 15 at ggml-cuda.cu:7956: the requested functionality is not supported
2024-01-09 11:28:24 -08:00
Jeffrey Morgan
8a8c7e7f8d only build for metal on arm64 2024-01-09 13:51:08 -05:00
Jeffrey Morgan
6df83e6daa update rough cuda overhead estimate to 15% + 384MiB 2024-01-09 13:51:08 -05:00
Michael Yang
f921e2696e typo 2024-01-09 09:45:42 -08:00
Michael Yang
4a33cede20 remove unused fields and functions 2024-01-09 09:37:40 -08:00
Michael Yang
f95d2f25f3 fix temporary history file permissions 2024-01-09 09:36:58 -08:00
Michael Yang
2b9892a808 fix(windows): modelpath and list 2024-01-09 09:36:58 -08:00
Michael Yang
2bb2bdd5d4 fix lint 2024-01-09 09:36:58 -08:00
Michael Yang
acfc376efd add .golangci.yaml 2024-01-09 09:36:58 -08:00
Michael Yang
997253143f add lint and test on pull_request 2024-01-09 09:36:58 -08:00
Michael Yang
62023177f6 Merge pull request #1614 from jmorganca/mxyng/fix-set-template
fix: set template without triple quotes
2024-01-09 09:36:24 -08:00
Jeffrey Morgan
6164f378f2 revert cuda overhead to 20% 2024-01-09 00:54:29 -05:00
Jeffrey Morgan
f387e9631b use runner if cuda alloc won't fit 2024-01-09 00:44:34 -05:00
Jeffrey Morgan
6566387ae3 add TODO for cuda overhead 2024-01-09 00:28:03 -05:00
Jeffrey Morgan
37708931fb update cuda overhead to 20% to fix crashes when switching between models and large context sizes 2024-01-09 00:05:23 -05:00
Jeffrey Morgan
f6cb0a553c update cuda overhead to 15% or 400MiB 2024-01-08 23:45:45 -05:00
Jeffrey Morgan
2680078c13 fix build on linux 2024-01-08 23:44:13 -05:00
Jeffrey Morgan
f1b7e5f560 update overhead to 15% 2024-01-08 23:37:45 -05:00
Jeffrey Morgan
cb534e6ac2 use 10% vram overhead for cuda 2024-01-08 23:17:44 -05:00
Jeffrey Morgan
58ce2d8273 better estimate scratch buffer size 2024-01-08 21:32:44 -05:00
Jeffrey Morgan
18ddf6d57d fix windows build 2024-01-08 20:04:01 -05:00
Michael Yang
61e6502449 Merge pull request #1818 from jmorganca/mxyng/fix-alt-prompt
fix(cmd): history in alt prompt
2024-01-08 13:48:34 -08:00
Jeffrey Morgan
08f1e18965 Offload layers to GPU based on new model size estimates (#1850)
* select layers based on estimated model memory usage

* always account for scratch vram

* dont load +1 layers

* better estmation for graph alloc

* Update gpu/gpu_darwin.go

Co-authored-by: Bruce MacDonald <brucewmacdonald@gmail.com>

* Update llm/llm.go

Co-authored-by: Bruce MacDonald <brucewmacdonald@gmail.com>

* Update llm/llm.go

* add overhead for cuda memory

* Update llm/llm.go

Co-authored-by: Bruce MacDonald <brucewmacdonald@gmail.com>

* fix build error on linux

* address comments

---------

Co-authored-by: Bruce MacDonald <brucewmacdonald@gmail.com>
2024-01-08 16:42:00 -05:00
Bruce MacDonald
7e8f7c8358 remove ggml automatic re-pull (#1856) 2024-01-08 14:41:01 -05:00
Bruce MacDonald
3f3eb19a3b document response in modelfile template variables (#1428) 2024-01-08 14:38:51 -05:00
Daniel Hiltgen
059ae4585e Merge pull request #1834 from dhiltgen/old_cuda
Detect very old CUDA GPUs and fall back to CPU
2024-01-07 10:39:49 -08:00
Daniel Hiltgen
6347f501ca Merge pull request #1828 from dhiltgen/fix_llava
Accept windows paths for image processing
2024-01-07 09:05:46 -08:00
Jeffrey Morgan
5feec959ad dont use -Wall in static build (#1833) 2024-01-07 10:39:19 -05:00
Jeffrey Morgan
dbdd50b283 add -DCMAKE_SYSTEM_NAME=Darwin cmake flag (#1832) 2024-01-07 00:46:17 -05:00
Daniel Hiltgen
d74ce6bd4f Detect very old CUDA GPUs and fall back to CPU
If we try to load the CUDA library on an old GPU, it panics and crashes
the server.  This checks the compute capability before we load the
library so we can gracefully fall back to CPU mode.
2024-01-06 21:40:29 -08:00
Guilherme Baptista
57942b4676 Update README.md - Community Integrations - Ollama for Ruby (#1830) 2024-01-06 22:31:39 -05:00
Daniel Hiltgen
e0d05b0f1e Accept windows paths for image processing
This enhances our regex to support windows style paths.  The regex will
match invalid path specifications, but we'll still validate file
existence and filter out mismatches
2024-01-06 10:50:27 -08:00
Daniel Hiltgen
2d9dd14f27 Merge pull request #1697 from dhiltgen/win_docs
Add windows native build instructions
2024-01-05 19:34:20 -08:00
Jeffrey Morgan
1caa56128f add cuda lib path for nvidia container toolkit 2024-01-05 21:10:37 -05:00
Michael Yang
0101e76dbe Merge pull request #1797 from sublimator/nd-allow-extension-origins-still-needs-explicit-listing-2024-01-05
fix: allow extension origins (still needs explicit listing), fixes #1686
2024-01-05 17:20:09 -08:00
Michael Yang
2ef9352b94 fix(cmd): history in alt mode 2024-01-05 16:20:02 -08:00
Michael Yang
5580ae2472 fix: set template without triple quotes 2024-01-05 15:51:33 -08:00
Bruce MacDonald
3a9f447141 only pull gguf model if already exists (#1817) 2024-01-05 18:50:00 -05:00
Patrick Devine
9c2941e61b switch api for ShowRequest to use the name field (#1816) 2024-01-05 15:06:43 -08:00
Patrick Devine
238ac5e765 Add unit tests for Parser (#1815) 2024-01-05 14:04:31 -08:00
Bruce MacDonald
4f4980b66b simplify ggml update logic (#1814)
- additional information is now available in show response, use this to pull gguf before running
- make gguf updates cancellable
2024-01-05 15:22:32 -05:00
Patrick Devine
22e93efa41 add show info command and fix the modelfile 2024-01-05 12:20:05 -08:00
Patrick Devine
2909dce894 split up interactive generation 2024-01-05 12:20:05 -08:00
Jeffrey Morgan
df32537312 gpu: read memory info from all cuda devices (#1802)
* gpu: read memory info from all cuda devices

* add `LOOKUP_SIZE` constant

* better constant name

* address comments
2024-01-05 11:25:58 -05:00
Bruce MacDonald
3367b5f3df remove unused generate patches (#1810) 2024-01-05 11:25:45 -05:00
Matt Williams
46edbbc518 Merge pull request #1801 from jmorganca/mattw/correctdockerlink 2024-01-04 19:20:45 -08:00
Michael Yang
d2ff18cd6b Merge pull request #1791 from jmorganca/mxyng/update-build
update Dockerfile.build
2024-01-04 19:13:44 -08:00
Matt Williams
df086d3c8c fix docker doc to point to hub
Signed-off-by: Matt Williams <m@technovangelist.com>
2024-01-04 18:42:23 -08:00
Nicholas Dudfield
8baaaa39c0 Allow extension origins (still needs explicit listing), fixes #1686 2024-01-05 09:06:47 +07:00
Michael Yang
f9961c70ae update build 2024-01-04 17:34:38 -08:00
Daniel Hiltgen
cd8fad3398 Merge pull request #1790 from dhiltgen/llm_code_shuffle
Cleaup stale submodule
2024-01-04 13:47:25 -08:00
Daniel Hiltgen
9983fa5f4e Cleaup stale submodule
If the tree has a stale submodule, make sure we clean it up first
2024-01-04 13:40:16 -08:00
Daniel Hiltgen
dfda91c2ee Merge pull request #1788 from dhiltgen/llm_code_shuffle
Revamp code layout for the llm directory and llama.cpp submodule
2024-01-04 13:14:28 -08:00
Daniel Hiltgen
fac9060da5 Init submodule with new path 2024-01-04 13:00:13 -08:00
Daniel Hiltgen
a554616f8e remove old llama.cpp submodule path 2024-01-04 12:12:21 -08:00
Daniel Hiltgen
77d96da94b Code shuffle to clean up the llm dir 2024-01-04 12:12:05 -08:00
Brian Murray
0d6e3565ae Add embeddings to API (#1773) 2024-01-04 15:00:52 -05:00
Daniel Hiltgen
e201efa14b Add windows native build instructions 2023-12-25 08:31:34 -08:00
93 changed files with 4907 additions and 2723 deletions

View File

@@ -2,7 +2,7 @@
ollama
app
dist
llm/llama.cpp/gguf
llm/llama.cpp
.env
.cache
test_data

162
.github/workflows/test.yaml vendored Normal file
View File

@@ -0,0 +1,162 @@
name: test
on:
pull_request:
jobs:
generate:
strategy:
matrix:
os: [ubuntu-latest, macos-latest, windows-latest]
arch: [amd64, arm64]
exclude:
- os: ubuntu-latest
arch: arm64
- os: windows-latest
arch: arm64
runs-on: ${{ matrix.os }}
env:
GOARCH: ${{ matrix.arch }}
steps:
- uses: actions/checkout@v4
- uses: actions/setup-go@v5
with:
go-version: '1.21'
cache: true
- run: go get ./...
- run: go generate -x ./...
- uses: actions/upload-artifact@v4
with:
name: ${{ matrix.os }}-${{ matrix.arch }}-libraries
path: llm/llama.cpp/build/**/lib/*
generate-cuda:
strategy:
matrix:
cuda-version:
- '11.8.0'
runs-on: ubuntu-latest
container: nvidia/cuda:${{ matrix.cuda-version }}-devel-ubuntu20.04
steps:
- run: |
apt-get update && apt-get install -y git build-essential curl
curl -fsSL https://github.com/Kitware/CMake/releases/download/v3.28.1/cmake-3.28.1-linux-x86_64.tar.gz \
| tar -zx -C /usr --strip-components 1
env:
DEBIAN_FRONTEND: noninteractive
- uses: actions/checkout@v4
- uses: actions/setup-go@v4
with:
go-version: '1.21'
cache: true
- run: go get ./...
- run: |
git config --global --add safe.directory /__w/ollama/ollama
go generate -x ./...
env:
OLLAMA_SKIP_CPU_GENERATE: '1'
- uses: actions/upload-artifact@v4
with:
name: cuda-${{ matrix.cuda-version }}-libraries
path: llm/llama.cpp/build/**/lib/*
generate-rocm:
strategy:
matrix:
rocm-version:
- '5.7.1'
- '6.0'
runs-on: ubuntu-latest
container: rocm/dev-ubuntu-20.04:${{ matrix.rocm-version }}
steps:
- run: |
apt-get update && apt-get install -y git build-essential curl rocm-libs
curl -fsSL https://github.com/Kitware/CMake/releases/download/v3.28.1/cmake-3.28.1-linux-x86_64.tar.gz \
| tar -zx -C /usr --strip-components 1
env:
DEBIAN_FRONTEND: noninteractive
- uses: actions/checkout@v4
- uses: actions/setup-go@v4
with:
go-version: '1.21'
cache: true
- run: go get ./...
- run: |
git config --global --add safe.directory /__w/ollama/ollama
go generate -x ./...
env:
OLLAMA_SKIP_CPU_GENERATE: '1'
- uses: actions/upload-artifact@v4
with:
name: rocm-${{ matrix.rocm-version }}-libraries
path: llm/llama.cpp/build/**/lib/*
lint:
strategy:
matrix:
os: [ubuntu-latest, macos-latest, windows-latest]
arch: [amd64, arm64]
exclude:
- os: ubuntu-latest
arch: arm64
- os: windows-latest
arch: arm64
- os: macos-latest
arch: amd64
runs-on: ${{ matrix.os }}
env:
GOARCH: ${{ matrix.arch }}
CGO_ENABLED: "1"
steps:
- uses: actions/checkout@v4
with:
submodules: recursive
- uses: actions/setup-go@v5
with:
go-version: '1.21'
cache: false
- run: |
mkdir -p llm/llama.cpp/build/linux/${{ matrix.arch }}/stub/lib/
touch llm/llama.cpp/build/linux/${{ matrix.arch }}/stub/lib/stub.so
if: ${{ startsWith(matrix.os, 'ubuntu-') }}
- run: |
mkdir -p llm/llama.cpp/build/darwin/${{ matrix.arch }}/stub/lib/
touch llm/llama.cpp/build/darwin/${{ matrix.arch }}/stub/lib/stub.dylib
touch llm/llama.cpp/ggml-metal.metal
if: ${{ startsWith(matrix.os, 'macos-') }}
- run: |
mkdir -p llm/llama.cpp/build/windows/${{ matrix.arch }}/stub/lib/
touch llm/llama.cpp/build/windows/${{ matrix.arch }}/stub/lib/stub.dll
if: ${{ startsWith(matrix.os, 'windows-') }}
- uses: golangci/golangci-lint-action@v3
test:
needs: generate
strategy:
matrix:
os: [ubuntu-latest, macos-latest, windows-latest]
arch: [amd64]
exclude:
- os: ubuntu-latest
arch: arm64
- os: windows-latest
arch: arm64
runs-on: ${{ matrix.os }}
env:
GOARCH: ${{ matrix.arch }}
CGO_ENABLED: "1"
steps:
- uses: actions/checkout@v4
with:
submodules: recursive
- uses: actions/setup-go@v5
with:
go-version: '1.21'
cache: true
- run: go get
- uses: actions/download-artifact@v4
with:
name: ${{ matrix.os }}-${{ matrix.arch }}-libraries
path: llm/llama.cpp/build
- run: go build
- run: go test -v ./...
- uses: actions/upload-artifact@v4
with:
name: ${{ matrix.os }}-binaries
path: ollama

9
.gitmodules vendored
View File

@@ -1,5 +1,4 @@
[submodule "llm/llama.cpp/gguf"]
path = llm/llama.cpp/gguf
url = https://github.com/ggerganov/llama.cpp.git
ignore = dirty
shallow = true
[submodule "llama.cpp"]
path = llm/llama.cpp
url = https://github.com/ggerganov/llama.cpp.git
shallow = true

27
.golangci.yaml Normal file
View File

@@ -0,0 +1,27 @@
run:
timeout: 5m
linters:
enable:
- asasalint
- bidichk
- bodyclose
- containedctx
- contextcheck
- exportloopref
- gocheckcompilerdirectives
# FIXME: for some reason this errors on windows
# - gofmt
# - goimports
- misspell
- nilerr
- unused
linters-settings:
errcheck:
# exclude the following functions since we don't generally
# need to be concerned with the returned errors
exclude-functions:
- encoding/binary.Read
- (*os.File).Seek
- (*bufio.Writer).WriteString
- (*github.com/spf13/pflag.FlagSet).Set
- (*github.com/jmorganca/ollama/llm.readSeekOffset).Seek

View File

@@ -1,27 +1,135 @@
FROM nvidia/cuda:11.8.0-devel-ubuntu22.04
ARG GOLANG_VERSION=1.21.3
ARG CMAKE_VERSION=3.22.1
ARG CUDA_VERSION=11.3.1
ARG TARGETARCH
ARG GOFLAGS="'-ldflags=-w -s'"
# Copy the minimal context we need to run the generate scripts
FROM scratch AS llm-code
COPY .git .git
COPY .gitmodules .gitmodules
COPY llm llm
FROM --platform=linux/amd64 nvidia/cuda:$CUDA_VERSION-devel-centos7 AS cuda-build-amd64
ARG CMAKE_VERSION
COPY ./scripts/rh_linux_deps.sh /
RUN CMAKE_VERSION=${CMAKE_VERSION} sh /rh_linux_deps.sh
ENV PATH /opt/rh/devtoolset-10/root/usr/bin:$PATH
COPY --from=llm-code / /go/src/github.com/jmorganca/ollama/
WORKDIR /go/src/github.com/jmorganca/ollama/llm/generate
ARG CGO_CFLAGS
RUN OLLAMA_SKIP_CPU_GENERATE=1 sh gen_linux.sh
FROM --platform=linux/arm64 nvidia/cuda:$CUDA_VERSION-devel-rockylinux8 AS cuda-build-arm64
ARG CMAKE_VERSION
COPY ./scripts/rh_linux_deps.sh /
RUN CMAKE_VERSION=${CMAKE_VERSION} sh /rh_linux_deps.sh
ENV PATH /opt/rh/gcc-toolset-10/root/usr/bin:$PATH
COPY --from=llm-code / /go/src/github.com/jmorganca/ollama/
WORKDIR /go/src/github.com/jmorganca/ollama/llm/generate
ARG CGO_CFLAGS
RUN OLLAMA_SKIP_CPU_GENERATE=1 sh gen_linux.sh
FROM --platform=linux/amd64 rocm/dev-centos-7:5.7.1-complete AS rocm-5-build-amd64
ARG CMAKE_VERSION
COPY ./scripts/rh_linux_deps.sh /
RUN CMAKE_VERSION=${CMAKE_VERSION} sh /rh_linux_deps.sh
ENV PATH /opt/rh/devtoolset-10/root/usr/bin:$PATH
ENV LIBRARY_PATH /opt/amdgpu/lib64
COPY --from=llm-code / /go/src/github.com/jmorganca/ollama/
WORKDIR /go/src/github.com/jmorganca/ollama/llm/generate
ARG CGO_CFLAGS
ARG AMDGPU_TARGETS
RUN OLLAMA_SKIP_CPU_GENERATE=1 sh gen_linux.sh
FROM --platform=linux/amd64 rocm/dev-centos-7:6.0-complete AS rocm-6-build-amd64
ARG CMAKE_VERSION
COPY ./scripts/rh_linux_deps.sh /
RUN CMAKE_VERSION=${CMAKE_VERSION} sh /rh_linux_deps.sh
ENV PATH /opt/rh/devtoolset-10/root/usr/bin:$PATH
ENV LIBRARY_PATH /opt/amdgpu/lib64
COPY --from=llm-code / /go/src/github.com/jmorganca/ollama/
WORKDIR /go/src/github.com/jmorganca/ollama/llm/generate
ARG CGO_CFLAGS
ARG AMDGPU_TARGETS
RUN OLLAMA_SKIP_CPU_GENERATE=1 sh gen_linux.sh
FROM --platform=linux/amd64 centos:7 AS cpu-builder-amd64
ARG CMAKE_VERSION
ARG GOLANG_VERSION
COPY ./scripts/rh_linux_deps.sh /
RUN CMAKE_VERSION=${CMAKE_VERSION} GOLANG_VERSION=${GOLANG_VERSION} sh /rh_linux_deps.sh
ENV PATH /opt/rh/devtoolset-10/root/usr/bin:$PATH
COPY --from=llm-code / /go/src/github.com/jmorganca/ollama/
ARG OLLAMA_CUSTOM_CPU_DEFS
ARG CGO_CFLAGS
WORKDIR /go/src/github.com/jmorganca/ollama/llm/generate
FROM --platform=linux/amd64 cpu-builder-amd64 AS cpu-build-amd64
RUN OLLAMA_CPU_TARGET="cpu" sh gen_linux.sh
FROM --platform=linux/amd64 cpu-builder-amd64 AS cpu_avx-build-amd64
RUN OLLAMA_CPU_TARGET="cpu_avx" sh gen_linux.sh
FROM --platform=linux/amd64 cpu-builder-amd64 AS cpu_avx2-build-amd64
RUN OLLAMA_CPU_TARGET="cpu_avx2" sh gen_linux.sh
FROM --platform=linux/arm64 centos:7 AS cpu-build-arm64
ARG CMAKE_VERSION
ARG GOLANG_VERSION
COPY ./scripts/rh_linux_deps.sh /
RUN CMAKE_VERSION=${CMAKE_VERSION} GOLANG_VERSION=${GOLANG_VERSION} sh /rh_linux_deps.sh
ENV PATH /opt/rh/devtoolset-10/root/usr/bin:$PATH
COPY --from=llm-code / /go/src/github.com/jmorganca/ollama/
WORKDIR /go/src/github.com/jmorganca/ollama/llm/generate
# Note, we only build the "base" CPU variant on arm since avx/avx2 are x86 features
ARG OLLAMA_CUSTOM_CPU_DEFS
ARG CGO_CFLAGS
RUN OLLAMA_CPU_TARGET="cpu" sh gen_linux.sh
# Intermediate stage used for ./scripts/build_linux.sh
FROM --platform=linux/amd64 cpu-build-amd64 AS build-amd64
ENV CGO_ENABLED 1
WORKDIR /go/src/github.com/jmorganca/ollama
RUN apt-get update && apt-get install -y git build-essential cmake
ADD https://dl.google.com/go/go1.21.3.linux-$TARGETARCH.tar.gz /tmp/go1.21.3.tar.gz
RUN mkdir -p /usr/local && tar xz -C /usr/local </tmp/go1.21.3.tar.gz
COPY . .
ENV GOARCH=$TARGETARCH
ENV GOFLAGS=$GOFLAGS
RUN /usr/local/go/bin/go generate ./... \
&& /usr/local/go/bin/go build .
COPY --from=cpu_avx-build-amd64 /go/src/github.com/jmorganca/ollama/llm/llama.cpp/build/linux/ llm/llama.cpp/build/linux/
COPY --from=cpu_avx2-build-amd64 /go/src/github.com/jmorganca/ollama/llm/llama.cpp/build/linux/ llm/llama.cpp/build/linux/
COPY --from=cuda-build-amd64 /go/src/github.com/jmorganca/ollama/llm/llama.cpp/build/linux/ llm/llama.cpp/build/linux/
COPY --from=rocm-5-build-amd64 /go/src/github.com/jmorganca/ollama/llm/llama.cpp/build/linux/ llm/llama.cpp/build/linux/
COPY --from=rocm-6-build-amd64 /go/src/github.com/jmorganca/ollama/llm/llama.cpp/build/linux/ llm/llama.cpp/build/linux/
ARG GOFLAGS
ARG CGO_CFLAGS
RUN go build .
FROM ubuntu:22.04
# Intermediate stage used for ./scripts/build_linux.sh
FROM --platform=linux/arm64 cpu-build-arm64 AS build-arm64
ENV CGO_ENABLED 1
ARG GOLANG_VERSION
WORKDIR /go/src/github.com/jmorganca/ollama
COPY . .
COPY --from=cuda-build-arm64 /go/src/github.com/jmorganca/ollama/llm/llama.cpp/build/linux/ llm/llama.cpp/build/linux/
ARG GOFLAGS
ARG CGO_CFLAGS
RUN go build .
# Runtime stages
FROM --platform=linux/amd64 ubuntu:22.04 as runtime-amd64
RUN apt-get update && apt-get install -y ca-certificates
COPY --from=0 /go/src/github.com/jmorganca/ollama/ollama /bin/ollama
COPY --from=build-amd64 /go/src/github.com/jmorganca/ollama/ollama /bin/ollama
FROM --platform=linux/arm64 ubuntu:22.04 as runtime-arm64
RUN apt-get update && apt-get install -y ca-certificates
COPY --from=build-arm64 /go/src/github.com/jmorganca/ollama/ollama /bin/ollama
# Radeon images are much larger so we keep it distinct from the CPU/CUDA image
FROM --platform=linux/amd64 rocm/dev-centos-7:5.7.1-complete as runtime-rocm
RUN update-pciids
COPY --from=build-amd64 /go/src/github.com/jmorganca/ollama/ollama /bin/ollama
EXPOSE 11434
ENV OLLAMA_HOST 0.0.0.0
# set some environment variable for better NVIDIA compatibility
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
ENTRYPOINT ["/bin/ollama"]
CMD ["serve"]
FROM runtime-$TARGETARCH
EXPOSE 11434
ENV OLLAMA_HOST 0.0.0.0
ENV PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility

View File

@@ -1,74 +0,0 @@
# Ubuntu 20.04 amd64 dependencies
FROM --platform=linux/amd64 ubuntu:20.04 AS base-amd64
ARG CUDA_VERSION=11.3.1-1
ARG CMAKE_VERSION=3.22.1
# ROCm only supports amd64
ARG ROCM_VERSION=6.0
ARG CLBLAST_VER=1.6.1
# Note: https://rocm.docs.amd.com/en/latest/release/user_kernel_space_compat_matrix.html
RUN apt-get update && \
apt-get install -y wget gnupg && \
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-ubuntu2004.pin && \
mv cuda-ubuntu2004.pin /etc/apt/preferences.d/cuda-repository-pin-600 && \
apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/3bf863cc.pub && \
echo "deb [by-hash=no] https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/ /" > /etc/apt/sources.list.d/cuda.list && \
wget "https://github.com/Kitware/CMake/releases/download/v${CMAKE_VERSION}/cmake-${CMAKE_VERSION}-linux-x86_64.sh" -O /tmp/cmake-installer.sh && \
chmod +x /tmp/cmake-installer.sh && /tmp/cmake-installer.sh --skip-license --prefix=/usr && \
mkdir --parents --mode=0755 /etc/apt/keyrings && \
wget https://repo.radeon.com/rocm/rocm.gpg.key -O - | gpg --dearmor > /etc/apt/keyrings/rocm.gpg && \
echo "deb [arch=amd64 signed-by=/etc/apt/keyrings/rocm.gpg] https://repo.radeon.com/rocm/apt/${ROCM_VERSION} focal main" > /etc/apt/sources.list.d/rocm.list && \
echo "Package: *" > /etc/apt/preferences.d/rocm-pin-600 && \
echo "Pin: release o=repo.radeon.com" >> /etc/apt/preferences.d/rocm-pin-600 && \
echo "Pin-Priority: 600" >> /etc/apt/preferences.d/rocm-pin-600 && \
apt-get update && \
DEBIAN_FRONTEND=noninteractive apt-get -y install cuda=${CUDA_VERSION} rocm-hip-libraries rocm-device-libs rocm-libs rocm-ocl-icd rocm-hip-sdk rocm-hip-libraries rocm-cmake rocm-clang-ocl rocm-dev
# CLBlast
RUN wget -qO- https://github.com/CNugteren/CLBlast/archive/refs/tags/${CLBLAST_VER}.tar.gz | tar zxv -C /tmp/ && \
cd /tmp/CLBlast-${CLBLAST_VER} && mkdir build && cd build && cmake .. && make && make install
ENV ROCM_PATH=/opt/rocm
# Ubuntu 22.04 arm64 dependencies
FROM --platform=linux/arm64 ubuntu:20.04 AS base-arm64
ARG CUDA_VERSION=11.3.1-1
ARG CMAKE_VERSION=3.27.6
RUN apt-get update && \
apt-get install -y wget gnupg && \
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/sbsa/cuda-ubuntu2004.pin && \
mv cuda-ubuntu2004.pin /etc/apt/preferences.d/cuda-repository-pin-600 && \
apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/sbsa//3bf863cc.pub && \
echo "deb [by-hash=no] https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/sbsa/ /" > /etc/apt/sources.list.d/cuda.list && \
wget "https://github.com/Kitware/CMake/releases/download/v${CMAKE_VERSION}/cmake-${CMAKE_VERSION}-linux-aarch64.sh" -O /tmp/cmake-installer.sh && \
chmod +x /tmp/cmake-installer.sh && /tmp/cmake-installer.sh --skip-license --prefix=/usr && \
apt-get update && \
apt-cache madison cuda && \
DEBIAN_FRONTEND=noninteractive apt-get -y install cuda=${CUDA_VERSION}
FROM base-${TARGETARCH}
ARG TARGETARCH
ARG GOFLAGS="'-ldflags -w -s'"
ARG CGO_CFLAGS
ARG GOLANG_VERSION=1.21.3
# Common toolchain
RUN apt-get update && \
DEBIAN_FRONTEND=noninteractive apt-get install -y gcc-10 g++-10 cpp-10 git ocl-icd-opencl-dev && \
update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-10 100 --slave /usr/bin/g++ g++ /usr/bin/g++-10 --slave /usr/bin/gcov gcov /usr/bin/gcov-10
# install go
ADD https://dl.google.com/go/go${GOLANG_VERSION}.linux-$TARGETARCH.tar.gz /tmp/go${GOLANG_VERSION}.tar.gz
RUN mkdir -p /usr/local && tar xz -C /usr/local </tmp/go${GOLANG_VERSION}.tar.gz
# build the final binary
WORKDIR /go/src/github.com/jmorganca/ollama
COPY . .
ENV GOOS=linux
ENV GOARCH=$TARGETARCH
ENV GOFLAGS=$GOFLAGS
ENV CGO_CFLAGS=${CGO_CFLAGS}
RUN /usr/local/go/bin/go generate ./... && \
/usr/local/go/bin/go build .

View File

@@ -1,8 +1,5 @@
<div align="center">
<picture>
<source media="(prefers-color-scheme: dark)" height="200px" srcset="https://github.com/jmorganca/ollama/assets/3325447/56ea1849-1284-4645-8970-956de6e51c3c">
<img alt="logo" height="200px" src="https://github.com/jmorganca/ollama/assets/3325447/0d0b44e2-8f4a-4e99-9b52-a5c1c741c8f7">
</picture>
<img alt="ollama" height="200px" src="https://github.com/jmorganca/ollama/assets/3325447/0d0b44e2-8f4a-4e99-9b52-a5c1c741c8f7">
</div>
# Ollama
@@ -31,6 +28,11 @@ curl https://ollama.ai/install.sh | sh
The official [Ollama Docker image](https://hub.docker.com/r/ollama/ollama) `ollama/ollama` is available on Docker Hub.
### Libraries
- [ollama-python](https://github.com/ollama/ollama-python)
- [ollama-js](https://github.com/ollama/ollama-js)
## Quickstart
To run and chat with [Llama 2](https://ollama.ai/library/llama2):
@@ -198,18 +200,21 @@ brew install cmake go
```
Then generate dependencies:
```
go generate ./...
```
Then build the binary:
```
go build .
```
More detailed instructions can be found in the [developer guide](https://github.com/jmorganca/ollama/blob/main/docs/development.md)
### Running local builds
Next, start the server:
```
@@ -251,6 +256,7 @@ See the [API documentation](./docs/api.md) for all endpoints.
## Community Integrations
### Web & Desktop
- [Bionic GPT](https://github.com/bionic-gpt/bionic-gpt)
- [HTML UI](https://github.com/rtcfirefly/ollama-ui)
- [Chatbot UI](https://github.com/ivanfioravanti/chatbot-ollama)
@@ -263,7 +269,7 @@ See the [API documentation](./docs/api.md) for all endpoints.
- [Amica](https://github.com/semperai/amica)
- [chatd](https://github.com/BruceMacD/chatd)
- [Ollama-SwiftUI](https://github.com/kghandour/Ollama-SwiftUI)
- [MindMac](https://mindmac.app)
### Terminal
@@ -292,6 +298,7 @@ See the [API documentation](./docs/api.md) for all endpoints.
- [LlamaIndex](https://gpt-index.readthedocs.io/en/stable/examples/llm/ollama.html)
- [LiteLLM](https://github.com/BerriAI/litellm)
- [OllamaSharp for .NET](https://github.com/awaescher/OllamaSharp)
- [Ollama for Ruby](https://github.com/gbaptista/ollama-ai)
- [Ollama-rs for Rust](https://github.com/pepperoni21/ollama-rs)
- [Ollama4j for Java](https://github.com/amithkoujalgi/ollama4j)
- [ModelFusion Typescript Library](https://modelfusion.dev/integration/model-provider/ollama)
@@ -299,6 +306,9 @@ See the [API documentation](./docs/api.md) for all endpoints.
- [Ollama for Dart](https://github.com/breitburg/dart-ollama)
- [Ollama for Laravel](https://github.com/cloudstudio/ollama-laravel)
- [LangChainDart](https://github.com/davidmigloz/langchain_dart)
- [Semantic Kernel - Python](https://github.com/microsoft/semantic-kernel/tree/main/python/semantic_kernel/connectors/ai/ollama)
- [Haystack](https://github.com/deepset-ai/haystack-integrations/blob/main/integrations/ollama.md)
- [Ollama for R - rollama](https://github.com/JBGruber/rollama)
### Mobile
@@ -319,3 +329,6 @@ See the [API documentation](./docs/api.md) for all endpoints.
- [Rivet plugin](https://github.com/abrenneke/rivet-plugin-ollama)
- [Llama Coder](https://github.com/ex3ndr/llama-coder) (Copilot alternative using Ollama)
- [Obsidian BMO Chatbot plugin](https://github.com/longy2k/obsidian-bmo-chatbot)
- [Open Interpreter](https://docs.openinterpreter.com/language-model-setup/local-models/ollama)
- [twinny](https://github.com/rjmacarthy/twinny) (Copilot and Copilot chat alternative using Ollama)
- [Wingman-AI](https://github.com/RussellCanfield/wingman-ai) (Copilot code and chat alternative using Ollama and HuggingFace)

View File

@@ -309,6 +309,13 @@ func (c *Client) Heartbeat(ctx context.Context) error {
}
return nil
}
func (c *Client) Embeddings(ctx context.Context, req *EmbeddingRequest) (*EmbeddingResponse, error) {
var resp EmbeddingResponse
if err := c.do(ctx, http.MethodPost, "/api/embeddings", req, &resp); err != nil {
return nil, err
}
return &resp, nil
}
func (c *Client) CreateBlob(ctx context.Context, digest string, r io.Reader) error {
if err := c.do(ctx, http.MethodHead, fmt.Sprintf("/api/blobs/%s", digest), nil, nil); err != nil {

View File

@@ -1,284 +0,0 @@
import os
import json
import requests
import os
import hashlib
import json
from pathlib import Path
BASE_URL = os.environ.get('OLLAMA_HOST', 'http://localhost:11434')
# Generate a response for a given prompt with a provided model. This is a streaming endpoint, so will be a series of responses.
# The final response object will include statistics and additional data from the request. Use the callback function to override
# the default handler.
def generate(model_name, prompt, system=None, template=None, format="", context=None, options=None, callback=None):
try:
url = f"{BASE_URL}/api/generate"
payload = {
"model": model_name,
"prompt": prompt,
"system": system,
"template": template,
"context": context,
"options": options,
"format": format,
}
# Remove keys with None values
payload = {k: v for k, v in payload.items() if v is not None}
with requests.post(url, json=payload, stream=True) as response:
response.raise_for_status()
# Creating a variable to hold the context history of the final chunk
final_context = None
# Variable to hold concatenated response strings if no callback is provided
full_response = ""
# Iterating over the response line by line and displaying the details
for line in response.iter_lines():
if line:
# Parsing each line (JSON chunk) and extracting the details
chunk = json.loads(line)
# If a callback function is provided, call it with the chunk
if callback:
callback(chunk)
else:
# If this is not the last chunk, add the "response" field value to full_response and print it
if not chunk.get("done"):
response_piece = chunk.get("response", "")
full_response += response_piece
print(response_piece, end="", flush=True)
# Check if it's the last chunk (done is true)
if chunk.get("done"):
final_context = chunk.get("context")
# Return the full response and the final context
return full_response, final_context
except requests.exceptions.RequestException as e:
print(f"An error occurred: {e}")
return None, None
# Create a blob file on the server if it doesn't exist.
def create_blob(digest, file_path):
url = f"{BASE_URL}/api/blobs/{digest}"
# Check if the blob exists
response = requests.head(url)
if response.status_code != 404:
return # Blob already exists, no need to upload
response.raise_for_status()
# Upload the blob
with open(file_path, 'rb') as file_data:
requests.post(url, data=file_data)
# Create a model from a Modelfile. Use the callback function to override the default handler.
def create(model_name, filename, callback=None):
try:
file_path = Path(filename).expanduser().resolve()
processed_lines = []
# Read and process the modelfile
with open(file_path, 'r') as f:
for line in f:
# Skip empty or whitespace-only lines
if not line.strip():
continue
command, args = line.split(maxsplit=1)
if command.upper() in ["FROM", "ADAPTER"]:
path = Path(args.strip()).expanduser()
# Check if path is relative and resolve it
if not path.is_absolute():
path = (file_path.parent / path)
# Skip if file does not exist for "model", this is handled by the server
if not path.exists():
processed_lines.append(line)
continue
# Calculate SHA-256 hash
with open(path, 'rb') as bin_file:
hash = hashlib.sha256()
hash.update(bin_file.read())
blob = f"sha256:{hash.hexdigest()}"
# Add the file to the remote server
create_blob(blob, path)
# Replace path with digest in the line
line = f"{command} @{blob}\n"
processed_lines.append(line)
# Combine processed lines back into a single string
modelfile_content = '\n'.join(processed_lines)
url = f"{BASE_URL}/api/create"
payload = {"name": model_name, "modelfile": modelfile_content}
# Making a POST request with the stream parameter set to True to handle streaming responses
with requests.post(url, json=payload, stream=True) as response:
response.raise_for_status()
# Iterating over the response line by line and displaying the status
for line in response.iter_lines():
if line:
chunk = json.loads(line)
if callback:
callback(chunk)
else:
print(f"Status: {chunk.get('status')}")
except Exception as e:
print(f"An error occurred: {e}")
# Pull a model from a the model registry. Cancelled pulls are resumed from where they left off, and multiple
# calls to will share the same download progress. Use the callback function to override the default handler.
def pull(model_name, insecure=False, callback=None):
try:
url = f"{BASE_URL}/api/pull"
payload = {
"name": model_name,
"insecure": insecure
}
# Making a POST request with the stream parameter set to True to handle streaming responses
with requests.post(url, json=payload, stream=True) as response:
response.raise_for_status()
# Iterating over the response line by line and displaying the details
for line in response.iter_lines():
if line:
# Parsing each line (JSON chunk) and extracting the details
chunk = json.loads(line)
# If a callback function is provided, call it with the chunk
if callback:
callback(chunk)
else:
# Print the status message directly to the console
print(chunk.get('status', ''), end='', flush=True)
# If there's layer data, you might also want to print that (adjust as necessary)
if 'digest' in chunk:
print(f" - Digest: {chunk['digest']}", end='', flush=True)
print(f" - Total: {chunk['total']}", end='', flush=True)
print(f" - Completed: {chunk['completed']}", end='\n', flush=True)
else:
print()
except requests.exceptions.RequestException as e:
print(f"An error occurred: {e}")
# Push a model to the model registry. Use the callback function to override the default handler.
def push(model_name, insecure=False, callback=None):
try:
url = f"{BASE_URL}/api/push"
payload = {
"name": model_name,
"insecure": insecure
}
# Making a POST request with the stream parameter set to True to handle streaming responses
with requests.post(url, json=payload, stream=True) as response:
response.raise_for_status()
# Iterating over the response line by line and displaying the details
for line in response.iter_lines():
if line:
# Parsing each line (JSON chunk) and extracting the details
chunk = json.loads(line)
# If a callback function is provided, call it with the chunk
if callback:
callback(chunk)
else:
# Print the status message directly to the console
print(chunk.get('status', ''), end='', flush=True)
# If there's layer data, you might also want to print that (adjust as necessary)
if 'digest' in chunk:
print(f" - Digest: {chunk['digest']}", end='', flush=True)
print(f" - Total: {chunk['total']}", end='', flush=True)
print(f" - Completed: {chunk['completed']}", end='\n', flush=True)
else:
print()
except requests.exceptions.RequestException as e:
print(f"An error occurred: {e}")
# List models that are available locally.
def list():
try:
response = requests.get(f"{BASE_URL}/api/tags")
response.raise_for_status()
data = response.json()
models = data.get('models', [])
return models
except requests.exceptions.RequestException as e:
print(f"An error occurred: {e}")
return None
# Copy a model. Creates a model with another name from an existing model.
def copy(source, destination):
try:
# Create the JSON payload
payload = {
"source": source,
"destination": destination
}
response = requests.post(f"{BASE_URL}/api/copy", json=payload)
response.raise_for_status()
# If the request was successful, return a message indicating that the copy was successful
return "Copy successful"
except requests.exceptions.RequestException as e:
print(f"An error occurred: {e}")
return None
# Delete a model and its data.
def delete(model_name):
try:
url = f"{BASE_URL}/api/delete"
payload = {"name": model_name}
response = requests.delete(url, json=payload)
response.raise_for_status()
return "Delete successful"
except requests.exceptions.RequestException as e:
print(f"An error occurred: {e}")
return None
# Show info about a model.
def show(model_name):
try:
url = f"{BASE_URL}/api/show"
payload = {"name": model_name}
response = requests.post(url, json=payload)
response.raise_for_status()
# Parse the JSON response and return it
data = response.json()
return data
except requests.exceptions.RequestException as e:
print(f"An error occurred: {e}")
return None
def heartbeat():
try:
url = f"{BASE_URL}/"
response = requests.head(url)
response.raise_for_status()
return "Ollama is running"
except requests.exceptions.RequestException as e:
print(f"An error occurred: {e}")
return "Ollama is not running"

View File

@@ -34,24 +34,26 @@ func (e StatusError) Error() string {
type ImageData []byte
type GenerateRequest struct {
Model string `json:"model"`
Prompt string `json:"prompt"`
System string `json:"system"`
Template string `json:"template"`
Context []int `json:"context,omitempty"`
Stream *bool `json:"stream,omitempty"`
Raw bool `json:"raw,omitempty"`
Format string `json:"format"`
Images []ImageData `json:"images,omitempty"`
Model string `json:"model"`
Prompt string `json:"prompt"`
System string `json:"system"`
Template string `json:"template"`
Context []int `json:"context,omitempty"`
Stream *bool `json:"stream,omitempty"`
Raw bool `json:"raw,omitempty"`
Format string `json:"format"`
KeepAlive *Duration `json:"keep_alive,omitempty"`
Images []ImageData `json:"images,omitempty"`
Options map[string]interface{} `json:"options"`
}
type ChatRequest struct {
Model string `json:"model"`
Messages []Message `json:"messages"`
Stream *bool `json:"stream,omitempty"`
Format string `json:"format"`
Model string `json:"model"`
Messages []Message `json:"messages"`
Stream *bool `json:"stream,omitempty"`
Format string `json:"format"`
KeepAlive *Duration `json:"keep_alive,omitempty"`
Options map[string]interface{} `json:"options"`
}
@@ -126,8 +128,9 @@ type Runner struct {
}
type EmbeddingRequest struct {
Model string `json:"model"`
Prompt string `json:"prompt"`
Model string `json:"model"`
Prompt string `json:"prompt"`
KeepAlive *Duration `json:"keep_alive,omitempty"`
Options map[string]interface{} `json:"options"`
}
@@ -137,17 +140,30 @@ type EmbeddingResponse struct {
}
type CreateRequest struct {
Name string `json:"name"`
Model string `json:"model"`
Path string `json:"path"`
Modelfile string `json:"modelfile"`
Stream *bool `json:"stream,omitempty"`
// Name is deprecated, see Model
Name string `json:"name"`
}
type DeleteRequest struct {
Model string `json:"model"`
// Name is deprecated, see Model
Name string `json:"name"`
}
type ShowRequest struct {
Model string `json:"model"`
System string `json:"system"`
Template string `json:"template"`
Options map[string]interface{} `json:"options"`
// Name is deprecated, see Model
Name string `json:"name"`
}
@@ -158,6 +174,7 @@ type ShowResponse struct {
Template string `json:"template,omitempty"`
System string `json:"system,omitempty"`
Details ModelDetails `json:"details,omitempty"`
Messages []Message `json:"messages,omitempty"`
}
type CopyRequest struct {
@@ -166,11 +183,14 @@ type CopyRequest struct {
}
type PullRequest struct {
Name string `json:"name"`
Model string `json:"model"`
Insecure bool `json:"insecure,omitempty"`
Username string `json:"username"`
Password string `json:"password"`
Stream *bool `json:"stream,omitempty"`
// Name is deprecated, see Model
Name string `json:"name"`
}
type ProgressResponse struct {
@@ -181,11 +201,14 @@ type ProgressResponse struct {
}
type PushRequest struct {
Name string `json:"name"`
Model string `json:"model"`
Insecure bool `json:"insecure,omitempty"`
Username string `json:"username"`
Password string `json:"password"`
Stream *bool `json:"stream,omitempty"`
// Name is deprecated, see Model
Name string `json:"name"`
}
type ListResponse struct {
@@ -194,6 +217,7 @@ type ListResponse struct {
type ModelResponse struct {
Name string `json:"name"`
Model string `json:"model"`
ModifiedAt time.Time `json:"modified_at"`
Size int64 `json:"size"`
Digest string `json:"digest"`
@@ -216,6 +240,7 @@ type GenerateResponse struct {
}
type ModelDetails struct {
ParentModel string `json:"parent_model"`
Format string `json:"format"`
Family string `json:"family"`
Families []string `json:"families"`
@@ -391,14 +416,19 @@ func (d *Duration) UnmarshalJSON(b []byte) (err error) {
case float64:
if t < 0 {
t = math.MaxFloat64
d.Duration = time.Duration(t)
} else {
d.Duration = time.Duration(t * float64(time.Second))
}
d.Duration = time.Duration(t)
case string:
d.Duration, err = time.ParseDuration(t)
if err != nil {
return err
}
if d.Duration < 0 {
mf := math.MaxFloat64
d.Duration = time.Duration(mf)
}
}
return nil

View File

@@ -17,7 +17,6 @@ import (
"os/exec"
"os/signal"
"path/filepath"
"regexp"
"runtime"
"strings"
"syscall"
@@ -33,13 +32,10 @@ import (
"github.com/jmorganca/ollama/format"
"github.com/jmorganca/ollama/parser"
"github.com/jmorganca/ollama/progress"
"github.com/jmorganca/ollama/readline"
"github.com/jmorganca/ollama/server"
"github.com/jmorganca/ollama/version"
)
type ImageData []byte
func CreateHandler(cmd *cobra.Command, args []string) error {
filename, _ := cmd.Flags().GetString("file")
filename, err := filepath.Abs(filename)
@@ -151,19 +147,68 @@ func RunHandler(cmd *cobra.Command, args []string) error {
}
name := args[0]
// check if the model exists on the server
_, err = client.Show(cmd.Context(), &api.ShowRequest{Name: name})
show, err := client.Show(cmd.Context(), &api.ShowRequest{Name: name})
var statusError api.StatusError
switch {
case errors.As(err, &statusError) && statusError.StatusCode == http.StatusNotFound:
if err := PullHandler(cmd, args); err != nil {
if err := PullHandler(cmd, []string{name}); err != nil {
return err
}
show, err = client.Show(cmd.Context(), &api.ShowRequest{Name: name})
if err != nil {
return err
}
case err != nil:
return err
}
return RunGenerate(cmd, args)
interactive := true
opts := runOptions{
Model: args[0],
WordWrap: os.Getenv("TERM") == "xterm-256color",
Options: map[string]interface{}{},
MultiModal: slices.Contains(show.Details.Families, "clip"),
ParentModel: show.Details.ParentModel,
}
format, err := cmd.Flags().GetString("format")
if err != nil {
return err
}
opts.Format = format
prompts := args[1:]
// prepend stdin to the prompt if provided
if !term.IsTerminal(int(os.Stdin.Fd())) {
in, err := io.ReadAll(os.Stdin)
if err != nil {
return err
}
prompts = append([]string{string(in)}, prompts...)
opts.WordWrap = false
interactive = false
}
opts.Prompt = strings.Join(prompts, " ")
if len(prompts) > 0 {
interactive = false
}
nowrap, err := cmd.Flags().GetBool("nowordwrap")
if err != nil {
return err
}
opts.WordWrap = !nowrap
if !interactive {
return generate(cmd, opts)
}
return generateInteractive(cmd, opts)
}
func PushHandler(cmd *cobra.Command, args []string) error {
@@ -415,66 +460,139 @@ func PullHandler(cmd *cobra.Command, args []string) error {
return nil
}
func RunGenerate(cmd *cobra.Command, args []string) error {
interactive := true
opts := generateOptions{
Model: args[0],
WordWrap: os.Getenv("TERM") == "xterm-256color",
Options: map[string]interface{}{},
Images: []ImageData{},
}
format, err := cmd.Flags().GetString("format")
if err != nil {
return err
}
opts.Format = format
prompts := args[1:]
// prepend stdin to the prompt if provided
if !term.IsTerminal(int(os.Stdin.Fd())) {
in, err := io.ReadAll(os.Stdin)
if err != nil {
return err
}
prompts = append([]string{string(in)}, prompts...)
opts.WordWrap = false
interactive = false
}
opts.Prompt = strings.Join(prompts, " ")
if len(prompts) > 0 {
interactive = false
}
nowrap, err := cmd.Flags().GetBool("nowordwrap")
if err != nil {
return err
}
opts.WordWrap = !nowrap
if !interactive {
return generate(cmd, opts)
}
return generateInteractive(cmd, opts)
}
type generateContextKey string
type generateOptions struct {
Model string
Prompt string
WordWrap bool
Format string
System string
Template string
Images []ImageData
Options map[string]interface{}
type runOptions struct {
Model string
ParentModel string
Prompt string
Messages []api.Message
WordWrap bool
Format string
System string
Template string
Images []api.ImageData
Options map[string]interface{}
MultiModal bool
}
func generate(cmd *cobra.Command, opts generateOptions) error {
type displayResponseState struct {
lineLength int
wordBuffer string
}
func displayResponse(content string, wordWrap bool, state *displayResponseState) {
termWidth, _, _ := term.GetSize(int(os.Stdout.Fd()))
if wordWrap && termWidth >= 10 {
for _, ch := range content {
if state.lineLength+1 > termWidth-5 {
if len(state.wordBuffer) > termWidth-10 {
fmt.Printf("%s%c", state.wordBuffer, ch)
state.wordBuffer = ""
state.lineLength = 0
continue
}
// backtrack the length of the last word and clear to the end of the line
fmt.Printf("\x1b[%dD\x1b[K\n", len(state.wordBuffer))
fmt.Printf("%s%c", state.wordBuffer, ch)
state.lineLength = len(state.wordBuffer) + 1
} else {
fmt.Print(string(ch))
state.lineLength += 1
switch ch {
case ' ':
state.wordBuffer = ""
case '\n':
state.lineLength = 0
default:
state.wordBuffer += string(ch)
}
}
}
} else {
fmt.Printf("%s%s", state.wordBuffer, content)
if len(state.wordBuffer) > 0 {
state.wordBuffer = ""
}
}
}
func chat(cmd *cobra.Command, opts runOptions) (*api.Message, error) {
client, err := api.ClientFromEnvironment()
if err != nil {
return nil, err
}
p := progress.NewProgress(os.Stderr)
defer p.StopAndClear()
spinner := progress.NewSpinner("")
p.Add("", spinner)
cancelCtx, cancel := context.WithCancel(cmd.Context())
defer cancel()
sigChan := make(chan os.Signal, 1)
signal.Notify(sigChan, syscall.SIGINT)
go func() {
<-sigChan
cancel()
}()
var state *displayResponseState = &displayResponseState{}
var latest api.ChatResponse
var fullResponse strings.Builder
var role string
fn := func(response api.ChatResponse) error {
p.StopAndClear()
latest = response
role = response.Message.Role
content := response.Message.Content
fullResponse.WriteString(content)
displayResponse(content, opts.WordWrap, state)
return nil
}
req := &api.ChatRequest{
Model: opts.Model,
Messages: opts.Messages,
Format: opts.Format,
Options: opts.Options,
}
if err := client.Chat(cancelCtx, req, fn); err != nil {
if errors.Is(err, context.Canceled) {
return nil, nil
}
return nil, err
}
if len(opts.Messages) > 0 {
fmt.Println()
fmt.Println()
}
verbose, err := cmd.Flags().GetBool("verbose")
if err != nil {
return nil, err
}
if verbose {
latest.Summary()
}
return &api.Message{Role: role, Content: fullResponse.String()}, nil
}
func generate(cmd *cobra.Command, opts runOptions) error {
client, err := api.ClientFromEnvironment()
if err != nil {
return err
@@ -493,11 +611,6 @@ func generate(cmd *cobra.Command, opts generateOptions) error {
generateContext = []int{}
}
termWidth, _, err := term.GetSize(int(os.Stdout.Fd()))
if err != nil {
opts.WordWrap = false
}
ctx, cancel := context.WithCancel(cmd.Context())
defer cancel()
@@ -509,94 +622,44 @@ func generate(cmd *cobra.Command, opts generateOptions) error {
cancel()
}()
var currentLineLength int
var wordBuffer string
var state *displayResponseState = &displayResponseState{}
fn := func(response api.GenerateResponse) error {
p.StopAndClear()
latest = response
content := response.Response
termWidth, _, _ = term.GetSize(int(os.Stdout.Fd()))
if opts.WordWrap && termWidth >= 10 {
for _, ch := range response.Response {
if currentLineLength+1 > termWidth-5 {
if len(wordBuffer) > termWidth-10 {
fmt.Printf("%s%c", wordBuffer, ch)
wordBuffer = ""
currentLineLength = 0
continue
}
// backtrack the length of the last word and clear to the end of the line
fmt.Printf("\x1b[%dD\x1b[K\n", len(wordBuffer))
fmt.Printf("%s%c", wordBuffer, ch)
currentLineLength = len(wordBuffer) + 1
} else {
fmt.Print(string(ch))
currentLineLength += 1
switch ch {
case ' ':
wordBuffer = ""
case '\n':
currentLineLength = 0
default:
wordBuffer += string(ch)
}
}
}
} else {
fmt.Printf("%s%s", wordBuffer, response.Response)
if len(wordBuffer) > 0 {
wordBuffer = ""
}
}
displayResponse(content, opts.WordWrap, state)
return nil
}
images := make([]api.ImageData, 0)
for _, i := range opts.Images {
images = append(images, api.ImageData(i))
if opts.MultiModal {
opts.Prompt, opts.Images, err = extractFileData(opts.Prompt)
if err != nil {
return err
}
}
request := api.GenerateRequest{
Model: opts.Model,
Prompt: opts.Prompt,
Context: generateContext,
Images: opts.Images,
Format: opts.Format,
System: opts.System,
Template: opts.Template,
Options: opts.Options,
Images: images,
}
if err := client.Generate(ctx, &request, fn); err != nil {
switch {
case errors.Is(err, context.Canceled):
if errors.Is(err, context.Canceled) {
return nil
case strings.Contains(err.Error(), "unsupported model format"):
// pull and retry to see if the model has been updated
parts := strings.Split(opts.Model, string(os.PathSeparator))
if len(parts) == 1 {
// this is a library model, log some info
fmt.Fprintln(os.Stderr, "This model is no longer compatible with Ollama. Pulling a new version...")
}
if err := PullHandler(cmd, []string{opts.Model}); err != nil {
fmt.Printf("Error: %s\n", err)
return fmt.Errorf("unsupported model, please update this model to gguf format") // relay the original error
}
// retry
if err := client.Generate(ctx, &request, fn); err != nil {
if errors.Is(err, context.Canceled) {
return nil
}
return err
}
default:
return err
}
return err
}
if opts.Prompt != "" {
fmt.Println()
fmt.Println()
@@ -621,459 +684,6 @@ func generate(cmd *cobra.Command, opts generateOptions) error {
return nil
}
type MultilineState int
const (
MultilineNone MultilineState = iota
MultilinePrompt
MultilineSystem
MultilineTemplate
)
func modelIsMultiModal(cmd *cobra.Command, name string) bool {
// get model details
client, err := api.ClientFromEnvironment()
if err != nil {
fmt.Println("error: couldn't connect to ollama server")
return false
}
req := api.ShowRequest{Name: name}
resp, err := client.Show(cmd.Context(), &req)
if err != nil {
return false
}
return slices.Contains(resp.Details.Families, "clip")
}
func generateInteractive(cmd *cobra.Command, opts generateOptions) error {
multiModal := modelIsMultiModal(cmd, opts.Model)
// load the model
loadOpts := generateOptions{
Model: opts.Model,
Prompt: "",
Images: []ImageData{},
}
if err := generate(cmd, loadOpts); err != nil {
return err
}
usage := func() {
fmt.Fprintln(os.Stderr, "Available Commands:")
fmt.Fprintln(os.Stderr, " /set Set session variables")
fmt.Fprintln(os.Stderr, " /show Show model information")
fmt.Fprintln(os.Stderr, " /bye Exit")
fmt.Fprintln(os.Stderr, " /?, /help Help for a command")
fmt.Fprintln(os.Stderr, " /? shortcuts Help for keyboard shortcuts")
fmt.Fprintln(os.Stderr, "")
fmt.Fprintln(os.Stderr, "Use \"\"\" to begin a multi-line message.")
fmt.Fprintln(os.Stderr, "")
}
usageSet := func() {
fmt.Fprintln(os.Stderr, "Available Commands:")
fmt.Fprintln(os.Stderr, " /set parameter ... Set a parameter")
fmt.Fprintln(os.Stderr, " /set system <string> Set system message")
fmt.Fprintln(os.Stderr, " /set template <string> Set prompt template")
fmt.Fprintln(os.Stderr, " /set history Enable history")
fmt.Fprintln(os.Stderr, " /set nohistory Disable history")
fmt.Fprintln(os.Stderr, " /set wordwrap Enable wordwrap")
fmt.Fprintln(os.Stderr, " /set nowordwrap Disable wordwrap")
fmt.Fprintln(os.Stderr, " /set format json Enable JSON mode")
fmt.Fprintln(os.Stderr, " /set noformat Disable formatting")
fmt.Fprintln(os.Stderr, " /set verbose Show LLM stats")
fmt.Fprintln(os.Stderr, " /set quiet Disable LLM stats")
fmt.Fprintln(os.Stderr, "")
}
usageShortcuts := func() {
fmt.Fprintln(os.Stderr, "Available keyboard shortcuts:")
fmt.Fprintln(os.Stderr, " Ctrl + a Move to the beginning of the line (Home)")
fmt.Fprintln(os.Stderr, " Ctrl + e Move to the end of the line (End)")
fmt.Fprintln(os.Stderr, " Alt + b Move back (left) one word")
fmt.Fprintln(os.Stderr, " Alt + f Move forward (right) one word")
fmt.Fprintln(os.Stderr, " Ctrl + k Delete the sentence after the cursor")
fmt.Fprintln(os.Stderr, " Ctrl + u Delete the sentence before the cursor")
fmt.Fprintln(os.Stderr, "")
fmt.Fprintln(os.Stderr, " Ctrl + l Clear the screen")
fmt.Fprintln(os.Stderr, " Ctrl + c Stop the model from responding")
fmt.Fprintln(os.Stderr, " Ctrl + d Exit ollama (/bye)")
fmt.Fprintln(os.Stderr, "")
}
usageShow := func() {
fmt.Fprintln(os.Stderr, "Available Commands:")
fmt.Fprintln(os.Stderr, " /show license Show model license")
fmt.Fprintln(os.Stderr, " /show modelfile Show Modelfile for this model")
fmt.Fprintln(os.Stderr, " /show parameters Show parameters for this model")
fmt.Fprintln(os.Stderr, " /show system Show system message")
fmt.Fprintln(os.Stderr, " /show template Show prompt template")
fmt.Fprintln(os.Stderr, "")
}
// only list out the most common parameters
usageParameters := func() {
fmt.Fprintln(os.Stderr, "Available Parameters:")
fmt.Fprintln(os.Stderr, " /set parameter seed <int> Random number seed")
fmt.Fprintln(os.Stderr, " /set parameter num_predict <int> Max number of tokens to predict")
fmt.Fprintln(os.Stderr, " /set parameter top_k <int> Pick from top k num of tokens")
fmt.Fprintln(os.Stderr, " /set parameter top_p <float> Pick token based on sum of probabilities")
fmt.Fprintln(os.Stderr, " /set parameter num_ctx <int> Set the context size")
fmt.Fprintln(os.Stderr, " /set parameter temperature <float> Set creativity level")
fmt.Fprintln(os.Stderr, " /set parameter repeat_penalty <float> How strongly to penalize repetitions")
fmt.Fprintln(os.Stderr, " /set parameter repeat_last_n <int> Set how far back to look for repetitions")
fmt.Fprintln(os.Stderr, " /set parameter num_gpu <int> The number of layers to send to the GPU")
fmt.Fprintln(os.Stderr, " /set parameter stop \"<string>\", ... Set the stop parameters")
fmt.Fprintln(os.Stderr, "")
}
scanner, err := readline.New(readline.Prompt{
Prompt: ">>> ",
AltPrompt: "... ",
Placeholder: "Send a message (/? for help)",
AltPlaceholder: `Use """ to end multi-line input`,
})
if err != nil {
return err
}
fmt.Print(readline.StartBracketedPaste)
defer fmt.Printf(readline.EndBracketedPaste)
var multiline MultilineState
var prompt string
for {
line, err := scanner.Readline()
switch {
case errors.Is(err, io.EOF):
fmt.Println()
return nil
case errors.Is(err, readline.ErrInterrupt):
if line == "" {
fmt.Println("\nUse Ctrl + d or /bye to exit.")
}
scanner.Prompt.UseAlt = false
prompt = ""
continue
case err != nil:
return err
}
switch {
case strings.HasPrefix(prompt, `"""`):
// if the prompt so far starts with """ then we're in multiline mode
// and we need to keep reading until we find a line that ends with """
cut, found := strings.CutSuffix(line, `"""`)
prompt += cut
if !found {
prompt += "\n"
continue
}
prompt = strings.TrimPrefix(prompt, `"""`)
scanner.Prompt.UseAlt = false
switch multiline {
case MultilineSystem:
opts.System = prompt
prompt = ""
fmt.Println("Set system message.")
case MultilineTemplate:
opts.Template = prompt
prompt = ""
fmt.Println("Set prompt template.")
}
multiline = MultilineNone
case strings.HasPrefix(line, `"""`) && len(prompt) == 0:
scanner.Prompt.UseAlt = true
multiline = MultilinePrompt
prompt += line + "\n"
continue
case scanner.Pasting:
prompt += line + "\n"
continue
case strings.HasPrefix(line, "/list"):
args := strings.Fields(line)
if err := ListHandler(cmd, args[1:]); err != nil {
return err
}
case strings.HasPrefix(line, "/set"):
args := strings.Fields(line)
if len(args) > 1 {
switch args[1] {
case "history":
scanner.HistoryEnable()
case "nohistory":
scanner.HistoryDisable()
case "wordwrap":
opts.WordWrap = true
fmt.Println("Set 'wordwrap' mode.")
case "nowordwrap":
opts.WordWrap = false
fmt.Println("Set 'nowordwrap' mode.")
case "verbose":
cmd.Flags().Set("verbose", "true")
fmt.Println("Set 'verbose' mode.")
case "quiet":
cmd.Flags().Set("verbose", "false")
fmt.Println("Set 'quiet' mode.")
case "format":
if len(args) < 3 || args[2] != "json" {
fmt.Println("Invalid or missing format. For 'json' mode use '/set format json'")
} else {
opts.Format = args[2]
fmt.Printf("Set format to '%s' mode.\n", args[2])
}
case "noformat":
opts.Format = ""
fmt.Println("Disabled format.")
case "parameter":
if len(args) < 4 {
usageParameters()
continue
}
var params []string
for _, p := range args[3:] {
params = append(params, p)
}
fp, err := api.FormatParams(map[string][]string{args[2]: params})
if err != nil {
fmt.Printf("Couldn't set parameter: %q\n\n", err)
continue
}
fmt.Printf("Set parameter '%s' to '%s'\n\n", args[2], strings.Join(params, ", "))
opts.Options[args[2]] = fp[args[2]]
case "system", "template":
if len(args) < 3 {
usageSet()
continue
}
line := strings.Join(args[2:], " ")
line = strings.TrimPrefix(line, `"""`)
if strings.HasPrefix(args[2], `"""`) {
cut, found := strings.CutSuffix(line, `"""`)
prompt += cut
if found {
if args[1] == "system" {
opts.System = prompt
fmt.Println("Set system message.")
} else {
opts.Template = prompt
fmt.Println("Set prompt template.")
}
prompt = ""
} else {
prompt = `"""` + prompt + "\n"
if args[1] == "system" {
multiline = MultilineSystem
} else {
multiline = MultilineTemplate
}
scanner.Prompt.UseAlt = true
}
} else {
opts.System = line
fmt.Println("Set system message.")
}
default:
fmt.Printf("Unknown command '/set %s'. Type /? for help\n", args[1])
}
} else {
usageSet()
}
case strings.HasPrefix(line, "/show"):
args := strings.Fields(line)
if len(args) > 1 {
client, err := api.ClientFromEnvironment()
if err != nil {
fmt.Println("error: couldn't connect to ollama server")
return err
}
resp, err := client.Show(cmd.Context(), &api.ShowRequest{Name: opts.Model})
if err != nil {
fmt.Println("error: couldn't get model")
return err
}
switch args[1] {
case "license":
if resp.License == "" {
fmt.Print("No license was specified for this model.\n\n")
} else {
fmt.Println(resp.License)
}
case "modelfile":
fmt.Println(resp.Modelfile)
case "parameters":
if resp.Parameters == "" {
fmt.Print("No parameters were specified for this model.\n\n")
} else {
if len(opts.Options) > 0 {
fmt.Println("User defined parameters:")
for k, v := range opts.Options {
fmt.Printf("%-*s %v\n", 30, k, v)
}
fmt.Println()
}
fmt.Println("Model defined parameters:")
fmt.Println(resp.Parameters)
}
case "system":
switch {
case opts.System != "":
fmt.Println(opts.System + "\n")
case resp.System != "":
fmt.Println(resp.System + "\n")
default:
fmt.Print("No system message was specified for this model.\n\n")
}
case "template":
switch {
case opts.Template != "":
fmt.Println(opts.Template + "\n")
case resp.Template != "":
fmt.Println(resp.Template)
default:
fmt.Print("No prompt template was specified for this model.\n\n")
}
default:
fmt.Printf("Unknown command '/show %s'. Type /? for help\n", args[1])
}
} else {
usageShow()
}
case strings.HasPrefix(line, "/help"), strings.HasPrefix(line, "/?"):
args := strings.Fields(line)
if len(args) > 1 {
switch args[1] {
case "set", "/set":
usageSet()
case "show", "/show":
usageShow()
case "shortcut", "shortcuts":
usageShortcuts()
}
} else {
usage()
}
case line == "/exit", line == "/bye":
return nil
case strings.HasPrefix(line, "/"):
args := strings.Fields(line)
isFile := false
if multiModal {
for _, f := range extractFileNames(line) {
if strings.HasPrefix(f, args[0]) {
isFile = true
break
}
}
}
if isFile {
prompt += line
} else {
fmt.Printf("Unknown command '%s'. Type /? for help\n", args[0])
continue
}
default:
prompt += line
}
if len(prompt) > 0 && multiline == MultilineNone {
opts.Prompt = prompt
if multiModal {
newPrompt, images, err := extractFileData(prompt)
if err != nil {
return err
}
opts.Prompt = newPrompt
// reset the context if we find another image
if len(images) > 0 {
opts.Images = images
ctx := cmd.Context()
ctx = context.WithValue(ctx, generateContextKey("context"), []int{})
cmd.SetContext(ctx)
}
if len(opts.Images) == 0 {
fmt.Println("This model requires you to add a jpeg, png, or svg image.")
fmt.Println()
prompt = ""
continue
}
}
if err := generate(cmd, opts); err != nil {
return err
}
prompt = ""
}
}
}
func normalizeFilePath(fp string) string {
// Define a map of escaped characters and their replacements
replacements := map[string]string{
"\\ ": " ", // Escaped space
"\\(": "(", // Escaped left parenthesis
"\\)": ")", // Escaped right parenthesis
"\\[": "[", // Escaped left square bracket
"\\]": "]", // Escaped right square bracket
"\\{": "{", // Escaped left curly brace
"\\}": "}", // Escaped right curly brace
"\\$": "$", // Escaped dollar sign
"\\&": "&", // Escaped ampersand
"\\;": ";", // Escaped semicolon
"\\'": "'", // Escaped single quote
"\\\\": "\\", // Escaped backslash
"\\*": "*", // Escaped asterisk
"\\?": "?", // Escaped question mark
}
for escaped, actual := range replacements {
fp = strings.ReplaceAll(fp, escaped, actual)
}
return fp
}
func extractFileNames(input string) []string {
// Regex to match file paths starting with / or ./ and include escaped spaces (\ or %20)
// and followed by more characters and a file extension
regexPattern := `(?:\./|/)[\S\\ ]+?\.(?i:jpg|jpeg|png|svg)\b`
re := regexp.MustCompile(regexPattern)
return re.FindAllString(input, -1)
}
func extractFileData(input string) (string, []ImageData, error) {
filePaths := extractFileNames(input)
var imgs []ImageData
for _, fp := range filePaths {
nfp := normalizeFilePath(fp)
data, err := getImageData(nfp)
if err != nil {
if os.IsNotExist(err) {
continue
}
fmt.Printf("Couldn't process image: %q\n", err)
return "", imgs, err
}
fmt.Printf("Added image '%s'\n", nfp)
input = strings.ReplaceAll(input, fp, "")
imgs = append(imgs, data)
}
return input, imgs, nil
}
func RunServer(cmd *cobra.Command, _ []string) error {
host, port, err := net.SplitHostPort(os.Getenv("OLLAMA_HOST"))
if err != nil {
@@ -1095,50 +705,6 @@ func RunServer(cmd *cobra.Command, _ []string) error {
return server.Serve(ln)
}
func getImageData(filePath string) ([]byte, error) {
file, err := os.Open(filePath)
if err != nil {
return nil, err
}
defer file.Close()
buf := make([]byte, 512)
_, err = file.Read(buf)
if err != nil {
return nil, err
}
contentType := http.DetectContentType(buf)
allowedTypes := []string{"image/jpeg", "image/jpg", "image/svg+xml", "image/png"}
if !slices.Contains(allowedTypes, contentType) {
return nil, fmt.Errorf("invalid image type: %s", contentType)
}
info, err := file.Stat()
if err != nil {
return nil, err
}
// Check if the file size exceeds 100MB
var maxSize int64 = 100 * 1024 * 1024 // 100MB in bytes
if info.Size() > maxSize {
return nil, fmt.Errorf("file size exceeds maximum limit (100MB)")
}
buf = make([]byte, info.Size())
_, err = file.Seek(0, 0)
if err != nil {
return nil, err
}
_, err = io.ReadFull(file, buf)
if err != nil {
return nil, err
}
return buf, nil
}
func initializeKeypair() error {
home, err := os.UserHomeDir()
if err != nil {

656
cmd/interactive.go Normal file
View File

@@ -0,0 +1,656 @@
package cmd
import (
"errors"
"fmt"
"io"
"net/http"
"os"
"path/filepath"
"regexp"
"sort"
"strings"
"github.com/spf13/cobra"
"golang.org/x/exp/slices"
"github.com/jmorganca/ollama/api"
"github.com/jmorganca/ollama/progress"
"github.com/jmorganca/ollama/readline"
)
type MultilineState int
const (
MultilineNone MultilineState = iota
MultilinePrompt
MultilineSystem
MultilineTemplate
)
func loadModel(cmd *cobra.Command, opts *runOptions) error {
client, err := api.ClientFromEnvironment()
if err != nil {
return err
}
p := progress.NewProgress(os.Stderr)
defer p.StopAndClear()
spinner := progress.NewSpinner("")
p.Add("", spinner)
showReq := api.ShowRequest{Name: opts.Model}
showResp, err := client.Show(cmd.Context(), &showReq)
if err != nil {
return err
}
opts.MultiModal = slices.Contains(showResp.Details.Families, "clip")
opts.ParentModel = showResp.Details.ParentModel
if len(showResp.Messages) > 0 {
opts.Messages = append(opts.Messages, showResp.Messages...)
}
chatReq := &api.ChatRequest{
Model: opts.Model,
Messages: []api.Message{},
}
err = client.Chat(cmd.Context(), chatReq, func(resp api.ChatResponse) error {
p.StopAndClear()
if len(opts.Messages) > 0 {
for _, msg := range opts.Messages {
switch msg.Role {
case "user":
fmt.Printf(">>> %s\n", msg.Content)
case "assistant":
state := &displayResponseState{}
displayResponse(msg.Content, opts.WordWrap, state)
fmt.Println()
fmt.Println()
}
}
}
return nil
})
if err != nil {
return err
}
return nil
}
func generateInteractive(cmd *cobra.Command, opts runOptions) error {
opts.Messages = make([]api.Message, 0)
err := loadModel(cmd, &opts)
if err != nil {
return err
}
usage := func() {
fmt.Fprintln(os.Stderr, "Available Commands:")
fmt.Fprintln(os.Stderr, " /set Set session variables")
fmt.Fprintln(os.Stderr, " /show Show model information")
fmt.Fprintln(os.Stderr, " /load <model> Load a session or model")
fmt.Fprintln(os.Stderr, " /save <model> Save your current session")
fmt.Fprintln(os.Stderr, " /bye Exit")
fmt.Fprintln(os.Stderr, " /?, /help Help for a command")
fmt.Fprintln(os.Stderr, " /? shortcuts Help for keyboard shortcuts")
fmt.Fprintln(os.Stderr, "")
fmt.Fprintln(os.Stderr, "Use \"\"\" to begin a multi-line message.")
if opts.MultiModal {
fmt.Fprintf(os.Stderr, "Use %s to include .jpg or .png images.\n", filepath.FromSlash("/path/to/file"))
}
fmt.Fprintln(os.Stderr, "")
}
usageSet := func() {
fmt.Fprintln(os.Stderr, "Available Commands:")
fmt.Fprintln(os.Stderr, " /set parameter ... Set a parameter")
fmt.Fprintln(os.Stderr, " /set system <string> Set system message")
fmt.Fprintln(os.Stderr, " /set template <string> Set prompt template")
fmt.Fprintln(os.Stderr, " /set history Enable history")
fmt.Fprintln(os.Stderr, " /set nohistory Disable history")
fmt.Fprintln(os.Stderr, " /set wordwrap Enable wordwrap")
fmt.Fprintln(os.Stderr, " /set nowordwrap Disable wordwrap")
fmt.Fprintln(os.Stderr, " /set format json Enable JSON mode")
fmt.Fprintln(os.Stderr, " /set noformat Disable formatting")
fmt.Fprintln(os.Stderr, " /set verbose Show LLM stats")
fmt.Fprintln(os.Stderr, " /set quiet Disable LLM stats")
fmt.Fprintln(os.Stderr, "")
}
usageShortcuts := func() {
fmt.Fprintln(os.Stderr, "Available keyboard shortcuts:")
fmt.Fprintln(os.Stderr, " Ctrl + a Move to the beginning of the line (Home)")
fmt.Fprintln(os.Stderr, " Ctrl + e Move to the end of the line (End)")
fmt.Fprintln(os.Stderr, " Alt + b Move back (left) one word")
fmt.Fprintln(os.Stderr, " Alt + f Move forward (right) one word")
fmt.Fprintln(os.Stderr, " Ctrl + k Delete the sentence after the cursor")
fmt.Fprintln(os.Stderr, " Ctrl + u Delete the sentence before the cursor")
fmt.Fprintln(os.Stderr, "")
fmt.Fprintln(os.Stderr, " Ctrl + l Clear the screen")
fmt.Fprintln(os.Stderr, " Ctrl + c Stop the model from responding")
fmt.Fprintln(os.Stderr, " Ctrl + d Exit ollama (/bye)")
fmt.Fprintln(os.Stderr, "")
}
usageShow := func() {
fmt.Fprintln(os.Stderr, "Available Commands:")
fmt.Fprintln(os.Stderr, " /show info Show details for this model")
fmt.Fprintln(os.Stderr, " /show license Show model license")
fmt.Fprintln(os.Stderr, " /show modelfile Show Modelfile for this model")
fmt.Fprintln(os.Stderr, " /show parameters Show parameters for this model")
fmt.Fprintln(os.Stderr, " /show system Show system message")
fmt.Fprintln(os.Stderr, " /show template Show prompt template")
fmt.Fprintln(os.Stderr, "")
}
// only list out the most common parameters
usageParameters := func() {
fmt.Fprintln(os.Stderr, "Available Parameters:")
fmt.Fprintln(os.Stderr, " /set parameter seed <int> Random number seed")
fmt.Fprintln(os.Stderr, " /set parameter num_predict <int> Max number of tokens to predict")
fmt.Fprintln(os.Stderr, " /set parameter top_k <int> Pick from top k num of tokens")
fmt.Fprintln(os.Stderr, " /set parameter top_p <float> Pick token based on sum of probabilities")
fmt.Fprintln(os.Stderr, " /set parameter num_ctx <int> Set the context size")
fmt.Fprintln(os.Stderr, " /set parameter temperature <float> Set creativity level")
fmt.Fprintln(os.Stderr, " /set parameter repeat_penalty <float> How strongly to penalize repetitions")
fmt.Fprintln(os.Stderr, " /set parameter repeat_last_n <int> Set how far back to look for repetitions")
fmt.Fprintln(os.Stderr, " /set parameter num_gpu <int> The number of layers to send to the GPU")
fmt.Fprintln(os.Stderr, " /set parameter stop \"<string>\", ... Set the stop parameters")
fmt.Fprintln(os.Stderr, "")
}
scanner, err := readline.New(readline.Prompt{
Prompt: ">>> ",
AltPrompt: "... ",
Placeholder: "Send a message (/? for help)",
AltPlaceholder: `Use """ to end multi-line input`,
})
if err != nil {
return err
}
fmt.Print(readline.StartBracketedPaste)
defer fmt.Printf(readline.EndBracketedPaste)
var sb strings.Builder
var multiline MultilineState
for {
line, err := scanner.Readline()
switch {
case errors.Is(err, io.EOF):
fmt.Println()
return nil
case errors.Is(err, readline.ErrInterrupt):
if line == "" {
fmt.Println("\nUse Ctrl + d or /bye to exit.")
}
scanner.Prompt.UseAlt = false
sb.Reset()
continue
case err != nil:
return err
}
switch {
case multiline != MultilineNone:
// check if there's a multiline terminating string
before, ok := strings.CutSuffix(line, `"""`)
sb.WriteString(before)
if !ok {
fmt.Fprintln(&sb)
continue
}
switch multiline {
case MultilineSystem:
opts.System = sb.String()
opts.Messages = append(opts.Messages, api.Message{Role: "system", Content: opts.System})
fmt.Println("Set system message.")
sb.Reset()
case MultilineTemplate:
opts.Template = sb.String()
fmt.Println("Set prompt template.")
sb.Reset()
}
multiline = MultilineNone
scanner.Prompt.UseAlt = false
case strings.HasPrefix(line, `"""`):
line := strings.TrimPrefix(line, `"""`)
line, ok := strings.CutSuffix(line, `"""`)
sb.WriteString(line)
if !ok {
// no multiline terminating string; need more input
fmt.Fprintln(&sb)
multiline = MultilinePrompt
scanner.Prompt.UseAlt = true
}
case scanner.Pasting:
fmt.Fprintln(&sb, line)
continue
case strings.HasPrefix(line, "/list"):
args := strings.Fields(line)
if err := ListHandler(cmd, args[1:]); err != nil {
return err
}
case strings.HasPrefix(line, "/load"):
args := strings.Fields(line)
if len(args) != 2 {
fmt.Println("Usage:\n /load <modelname>")
continue
}
opts.Model = args[1]
opts.Messages = []api.Message{}
fmt.Printf("Loading model '%s'\n", opts.Model)
if err := loadModel(cmd, &opts); err != nil {
return err
}
continue
case strings.HasPrefix(line, "/save"):
args := strings.Fields(line)
if len(args) != 2 {
fmt.Println("Usage:\n /save <modelname>")
continue
}
client, err := api.ClientFromEnvironment()
if err != nil {
fmt.Println("error: couldn't connect to ollama server")
return err
}
req := &api.CreateRequest{
Name: args[1],
Modelfile: buildModelfile(opts),
}
fn := func(resp api.ProgressResponse) error { return nil }
err = client.Create(cmd.Context(), req, fn)
if err != nil {
fmt.Println("error: couldn't save model")
return err
}
fmt.Printf("Created new model '%s'\n", args[1])
continue
case strings.HasPrefix(line, "/set"):
args := strings.Fields(line)
if len(args) > 1 {
switch args[1] {
case "history":
scanner.HistoryEnable()
case "nohistory":
scanner.HistoryDisable()
case "wordwrap":
opts.WordWrap = true
fmt.Println("Set 'wordwrap' mode.")
case "nowordwrap":
opts.WordWrap = false
fmt.Println("Set 'nowordwrap' mode.")
case "verbose":
cmd.Flags().Set("verbose", "true")
fmt.Println("Set 'verbose' mode.")
case "quiet":
cmd.Flags().Set("verbose", "false")
fmt.Println("Set 'quiet' mode.")
case "format":
if len(args) < 3 || args[2] != "json" {
fmt.Println("Invalid or missing format. For 'json' mode use '/set format json'")
} else {
opts.Format = args[2]
fmt.Printf("Set format to '%s' mode.\n", args[2])
}
case "noformat":
opts.Format = ""
fmt.Println("Disabled format.")
case "parameter":
if len(args) < 4 {
usageParameters()
continue
}
params := args[3:]
fp, err := api.FormatParams(map[string][]string{args[2]: params})
if err != nil {
fmt.Printf("Couldn't set parameter: %q\n", err)
continue
}
fmt.Printf("Set parameter '%s' to '%s'\n", args[2], strings.Join(params, ", "))
opts.Options[args[2]] = fp[args[2]]
case "system", "template":
if len(args) < 3 {
usageSet()
continue
}
if args[1] == "system" {
multiline = MultilineSystem
} else if args[1] == "template" {
multiline = MultilineTemplate
}
line := strings.Join(args[2:], " ")
line, ok := strings.CutPrefix(line, `"""`)
if !ok {
multiline = MultilineNone
} else {
// only cut suffix if the line is multiline
line, ok = strings.CutSuffix(line, `"""`)
if ok {
multiline = MultilineNone
}
}
sb.WriteString(line)
if multiline != MultilineNone {
scanner.Prompt.UseAlt = true
continue
}
if args[1] == "system" {
opts.System = sb.String()
opts.Messages = append(opts.Messages, api.Message{Role: "system", Content: opts.System})
fmt.Println("Set system message.")
sb.Reset()
} else if args[1] == "template" {
opts.Template = sb.String()
fmt.Println("Set prompt template.")
sb.Reset()
}
sb.Reset()
continue
default:
fmt.Printf("Unknown command '/set %s'. Type /? for help\n", args[1])
}
} else {
usageSet()
}
case strings.HasPrefix(line, "/show"):
args := strings.Fields(line)
if len(args) > 1 {
client, err := api.ClientFromEnvironment()
if err != nil {
fmt.Println("error: couldn't connect to ollama server")
return err
}
req := &api.ShowRequest{
Name: opts.Model,
System: opts.System,
Template: opts.Template,
Options: opts.Options,
}
resp, err := client.Show(cmd.Context(), req)
if err != nil {
fmt.Println("error: couldn't get model")
return err
}
switch args[1] {
case "info":
fmt.Println("Model details:")
if len(resp.Details.Families) > 0 {
fmt.Printf("Family %s\n", strings.Join(resp.Details.Families, ", "))
} else if resp.Details.Family != "" {
fmt.Printf("Family %s\n", resp.Details.Family)
}
fmt.Printf("Parameter Size %s\n", resp.Details.ParameterSize)
fmt.Printf("Quantization Level %s\n", resp.Details.QuantizationLevel)
fmt.Println("")
case "license":
if resp.License == "" {
fmt.Println("No license was specified for this model.")
} else {
fmt.Println(resp.License)
}
case "modelfile":
fmt.Println(resp.Modelfile)
case "parameters":
if resp.Parameters == "" {
fmt.Println("No parameters were specified for this model.")
} else {
if len(opts.Options) > 0 {
fmt.Println("User defined parameters:")
for k, v := range opts.Options {
fmt.Printf("%-*s %v\n", 30, k, v)
}
fmt.Println()
}
fmt.Println("Model defined parameters:")
fmt.Println(resp.Parameters)
}
case "system":
switch {
case opts.System != "":
fmt.Println(opts.System + "\n")
case resp.System != "":
fmt.Println(resp.System + "\n")
default:
fmt.Println("No system message was specified for this model.")
}
case "template":
switch {
case opts.Template != "":
fmt.Println(opts.Template + "\n")
case resp.Template != "":
fmt.Println(resp.Template)
default:
fmt.Println("No prompt template was specified for this model.")
}
default:
fmt.Printf("Unknown command '/show %s'. Type /? for help\n", args[1])
}
} else {
usageShow()
}
case strings.HasPrefix(line, "/help"), strings.HasPrefix(line, "/?"):
args := strings.Fields(line)
if len(args) > 1 {
switch args[1] {
case "set", "/set":
usageSet()
case "show", "/show":
usageShow()
case "shortcut", "shortcuts":
usageShortcuts()
}
} else {
usage()
}
case line == "/exit", line == "/bye":
return nil
case strings.HasPrefix(line, "/"):
args := strings.Fields(line)
isFile := false
if opts.MultiModal {
for _, f := range extractFileNames(line) {
if strings.HasPrefix(f, args[0]) {
isFile = true
break
}
}
}
if !isFile {
fmt.Printf("Unknown command '%s'. Type /? for help\n", args[0])
continue
}
sb.WriteString(line)
default:
sb.WriteString(line)
}
if sb.Len() > 0 && multiline == MultilineNone {
newMessage := api.Message{Role: "user", Content: sb.String()}
if opts.MultiModal {
msg, images, err := extractFileData(sb.String())
if err != nil {
return err
}
// clear all previous images for better responses
if len(images) > 0 {
for i := range opts.Messages {
opts.Messages[i].Images = nil
}
}
newMessage.Content = msg
newMessage.Images = images
}
opts.Messages = append(opts.Messages, newMessage)
assistant, err := chat(cmd, opts)
if err != nil {
return err
}
if assistant != nil {
opts.Messages = append(opts.Messages, *assistant)
}
sb.Reset()
}
}
}
func buildModelfile(opts runOptions) string {
var mf strings.Builder
model := opts.ParentModel
if model == "" {
model = opts.Model
}
fmt.Fprintf(&mf, "FROM %s\n", model)
if opts.System != "" {
fmt.Fprintf(&mf, "SYSTEM \"\"\"%s\"\"\"\n", opts.System)
}
if opts.Template != "" {
fmt.Fprintf(&mf, "TEMPLATE \"\"\"%s\"\"\"\n", opts.Template)
}
keys := make([]string, 0)
for k := range opts.Options {
keys = append(keys, k)
}
sort.Strings(keys)
for _, k := range keys {
fmt.Fprintf(&mf, "PARAMETER %s %v\n", k, opts.Options[k])
}
fmt.Fprintln(&mf)
for _, msg := range opts.Messages {
fmt.Fprintf(&mf, "MESSAGE %s \"\"\"%s\"\"\"\n", msg.Role, msg.Content)
}
return mf.String()
}
func normalizeFilePath(fp string) string {
// Define a map of escaped characters and their replacements
replacements := map[string]string{
"\\ ": " ", // Escaped space
"\\(": "(", // Escaped left parenthesis
"\\)": ")", // Escaped right parenthesis
"\\[": "[", // Escaped left square bracket
"\\]": "]", // Escaped right square bracket
"\\{": "{", // Escaped left curly brace
"\\}": "}", // Escaped right curly brace
"\\$": "$", // Escaped dollar sign
"\\&": "&", // Escaped ampersand
"\\;": ";", // Escaped semicolon
"\\'": "'", // Escaped single quote
"\\\\": "\\", // Escaped backslash
"\\*": "*", // Escaped asterisk
"\\?": "?", // Escaped question mark
}
for escaped, actual := range replacements {
fp = strings.ReplaceAll(fp, escaped, actual)
}
return fp
}
func extractFileNames(input string) []string {
// Regex to match file paths starting with optional drive letter, / ./ \ or .\ and include escaped or unescaped spaces (\ or %20)
// and followed by more characters and a file extension
// This will capture non filename strings, but we'll check for file existence to remove mismatches
regexPattern := `(?:[a-zA-Z]:)?(?:\./|/|\\)[\S\\ ]+?\.(?i:jpg|jpeg|png|svg)\b`
re := regexp.MustCompile(regexPattern)
return re.FindAllString(input, -1)
}
func extractFileData(input string) (string, []api.ImageData, error) {
filePaths := extractFileNames(input)
var imgs []api.ImageData
for _, fp := range filePaths {
nfp := normalizeFilePath(fp)
data, err := getImageData(nfp)
if err != nil {
if os.IsNotExist(err) {
continue
}
fmt.Fprintf(os.Stderr, "Couldn't process image: %q\n", err)
return "", imgs, err
}
fmt.Fprintf(os.Stderr, "Added image '%s'\n", nfp)
input = strings.ReplaceAll(input, fp, "")
imgs = append(imgs, data)
}
return input, imgs, nil
}
func getImageData(filePath string) ([]byte, error) {
file, err := os.Open(filePath)
if err != nil {
return nil, err
}
defer file.Close()
buf := make([]byte, 512)
_, err = file.Read(buf)
if err != nil {
return nil, err
}
contentType := http.DetectContentType(buf)
allowedTypes := []string{"image/jpeg", "image/jpg", "image/svg+xml", "image/png"}
if !slices.Contains(allowedTypes, contentType) {
return nil, fmt.Errorf("invalid image type: %s", contentType)
}
info, err := file.Stat()
if err != nil {
return nil, err
}
// Check if the file size exceeds 100MB
var maxSize int64 = 100 * 1024 * 1024 // 100MB in bytes
if info.Size() > maxSize {
return nil, fmt.Errorf("file size exceeds maximum limit (100MB)")
}
buf = make([]byte, info.Size())
_, err = file.Seek(0, 0)
if err != nil {
return nil, err
}
_, err = io.ReadFull(file, buf)
if err != nil {
return nil, err
}
return buf, nil
}

116
cmd/interactive_test.go Normal file
View File

@@ -0,0 +1,116 @@
package cmd
import (
"bytes"
"testing"
"text/template"
"github.com/stretchr/testify/assert"
"github.com/jmorganca/ollama/api"
)
func TestExtractFilenames(t *testing.T) {
// Unix style paths
input := ` some preamble
./relative\ path/one.png inbetween1 ./not a valid two.jpg inbetween2
/unescaped space /three.jpeg inbetween3 /valid\ path/dir/four.png "./quoted with spaces/five.svg`
res := extractFileNames(input)
assert.Len(t, res, 5)
assert.Contains(t, res[0], "one.png")
assert.Contains(t, res[1], "two.jpg")
assert.Contains(t, res[2], "three.jpeg")
assert.Contains(t, res[3], "four.png")
assert.Contains(t, res[4], "five.svg")
assert.NotContains(t, res[4], '"')
assert.NotContains(t, res, "inbtween")
// Windows style paths
input = ` some preamble
c:/users/jdoe/one.png inbetween1 c:/program files/someplace/two.jpg inbetween2
/absolute/nospace/three.jpeg inbetween3 /absolute/with space/four.png inbetween4
./relative\ path/five.svg inbetween5 "./relative with/spaces/six.png inbetween6
d:\path with\spaces\seven.svg inbetween7 c:\users\jdoe\eight.png inbetween8
d:\program files\someplace\nine.png inbetween9 "E:\program files\someplace\ten.svg some ending
`
res = extractFileNames(input)
assert.Len(t, res, 10)
assert.NotContains(t, res, "inbtween")
assert.Contains(t, res[0], "one.png")
assert.Contains(t, res[0], "c:")
assert.Contains(t, res[1], "two.jpg")
assert.Contains(t, res[1], "c:")
assert.Contains(t, res[2], "three.jpeg")
assert.Contains(t, res[3], "four.png")
assert.Contains(t, res[4], "five.svg")
assert.Contains(t, res[5], "six.png")
assert.Contains(t, res[6], "seven.svg")
assert.Contains(t, res[6], "d:")
assert.Contains(t, res[7], "eight.png")
assert.Contains(t, res[7], "c:")
assert.Contains(t, res[8], "nine.png")
assert.Contains(t, res[8], "d:")
assert.Contains(t, res[9], "ten.svg")
assert.Contains(t, res[9], "E:")
}
func TestModelfileBuilder(t *testing.T) {
opts := runOptions{
Model: "hork",
System: "You are part horse and part shark, but all hork. Do horklike things",
Template: "This is a template.",
Messages: []api.Message{
{Role: "user", Content: "Hey there hork!"},
{Role: "assistant", Content: "Yes it is true, I am half horse, half shark."},
},
Options: map[string]interface{}{},
}
opts.Options["temperature"] = 0.9
opts.Options["seed"] = 42
opts.Options["penalize_newline"] = false
opts.Options["stop"] = []string{"hi", "there"}
mf := buildModelfile(opts)
expectedModelfile := `FROM {{.Model}}
SYSTEM """{{.System}}"""
TEMPLATE """{{.Template}}"""
PARAMETER penalize_newline false
PARAMETER seed 42
PARAMETER stop [hi there]
PARAMETER temperature 0.9
MESSAGE user """Hey there hork!"""
MESSAGE assistant """Yes it is true, I am half horse, half shark."""
`
tmpl, err := template.New("").Parse(expectedModelfile)
assert.Nil(t, err)
var buf bytes.Buffer
err = tmpl.Execute(&buf, opts)
assert.Nil(t, err)
assert.Equal(t, buf.String(), mf)
opts.ParentModel = "horseshark"
mf = buildModelfile(opts)
expectedModelfile = `FROM {{.ParentModel}}
SYSTEM """{{.System}}"""
TEMPLATE """{{.Template}}"""
PARAMETER penalize_newline false
PARAMETER seed 42
PARAMETER stop [hi there]
PARAMETER temperature 0.9
MESSAGE user """Hey there hork!"""
MESSAGE assistant """Yes it is true, I am half horse, half shark."""
`
tmpl, err = template.New("").Parse(expectedModelfile)
assert.Nil(t, err)
var parentBuf bytes.Buffer
err = tmpl.Execute(&parentBuf, opts)
assert.Nil(t, err)
assert.Equal(t, parentBuf.String(), mf)
}

View File

@@ -12,7 +12,7 @@ Import models using source model weights found on Hugging Face and similar sites
Installing on Linux in most cases is easy using the script on Ollama.ai. To get more detail about the install, including CUDA drivers, see the **[Linux Documentation](./linux.md)**.
Many of our users like the flexibility of using our official Docker Image. Learn more about using Docker with Ollama using the **[Docker Documentation](./docker.md)**.
Many of our users like the flexibility of using our official Docker Image. Learn more about using Docker with Ollama using the **[Docker Documentation](https://hub.docker.com/r/ollama/ollama)**.
It is easy to install on Linux and Mac, but many users will choose to build Ollama on their own. To do this, refer to the **[Development Documentation](./development.md)**.

View File

@@ -409,7 +409,7 @@ A stream of JSON objects is returned:
"model": "llama2",
"created_at": "2023-08-04T08:52:19.385406455-07:00",
"message": {
"role": "assisant",
"role": "assistant",
"content": "The",
"images": null
},
@@ -505,7 +505,7 @@ A stream of JSON objects is returned:
"model": "llama2",
"created_at": "2023-08-04T08:52:19.385406455-07:00",
"message": {
"role": "assisant",
"role": "assistant",
"content": "The"
},
"done": false

View File

@@ -1,13 +1,9 @@
# Development
- Install cmake or (optionally, required tools for GPUs)
- run `go generate ./...`
- run `go build .`
Install required tools:
- cmake version 3.24 or higher
- go version 1.20 or higher
- go version 1.21 or higher
- gcc version 11.4.0 or higher
```bash
@@ -17,7 +13,11 @@ brew install go cmake gcc
Optionally enable debugging and more verbose logging:
```bash
# At build time
export CGO_CFLAGS="-g"
# At runtime
export OLLAMA_DEBUG=1
```
Get the required libraries and build the native LLM code:
@@ -38,37 +38,101 @@ Now you can run `ollama`:
./ollama
```
## Building on Linux with GPU support
### Linux
#### Linux CUDA (NVIDIA)
### Linux/Windows CUDA (NVIDIA)
*Your operating system distribution may already have packages for NVIDIA CUDA. Distro packages are often preferable, but instructions are distro-specific. Please consult distro-specific docs for dependencies if available!*
Install `cmake` and `golang` as well as [NVIDIA CUDA](https://developer.nvidia.com/cuda-downloads) development and runtime packages.
Install `cmake` and `golang` as well as [NVIDIA CUDA](https://developer.nvidia.com/cuda-downloads)
development and runtime packages.
Typically the build scripts will auto-detect CUDA, however, if your Linux distro
or installation approach uses unusual paths, you can specify the location by
specifying an environment variable `CUDA_LIB_DIR` to the location of the shared
libraries, and `CUDACXX` to the location of the nvcc compiler. You can customize
set set of target CUDA architectues by setting `CMAKE_CUDA_ARCHITECTURES` (e.g. "50;60;70")
Then generate dependencies:
```
go generate ./...
```
Then build the binary:
```
go build .
```
### Linux ROCm (AMD)
#### Linux ROCm (AMD)
*Your operating system distribution may already have packages for AMD ROCm and CLBlast. Distro packages are often preferable, but instructions are distro-specific. Please consult distro-specific docs for dependencies if available!*
Install [CLBlast](https://github.com/CNugteren/CLBlast/blob/master/doc/installation.md) and [ROCm](https://rocm.docs.amd.com/en/latest/deploy/linux/quick_start.html) developement packages first, as well as `cmake` and `golang`.
Adjust the paths below (correct for Arch) as appropriate for your distributions install locations and generate dependencies:
Typically the build scripts will auto-detect ROCm, however, if your Linux distro
or installation approach uses unusual paths, you can specify the location by
specifying an environment variable `ROCM_PATH` to the location of the ROCm
install (typically `/opt/rocm`), and `CLBlast_DIR` to the location of the
CLBlast install (typically `/usr/lib/cmake/CLBlast`). You can also customize
the AMD GPU targets by setting AMDGPU_TARGETS (e.g. `AMDGPU_TARGETS="gfx1101;gfx1102"`)
```
CLBlast_DIR=/usr/lib/cmake/CLBlast ROCM_PATH=/opt/rocm go generate ./...
go generate ./...
```
Then build the binary:
```
go build .
```
ROCm requires elevated privileges to access the GPU at runtime. On most distros you can add your user account to the `render` group, or run as root.
## Containerized Build
#### Advanced CPU Settings
If you have Docker available, you can build linux binaries with `./scripts/build_linux.sh` which has the CUDA and ROCm dependencies included.
By default, running `go generate ./...` will compile a few different variations
of the LLM library based on common CPU families and vector math capabilities,
including a lowest-common-denominator which should run on almost any 64 bit CPU
somewhat slowly. At runtime, Ollama will auto-detect the optimal variation to
load. If you would like to build a CPU-based build customized for your
processor, you can set `OLLAMA_CUSTOM_CPU_DEFS` to the llama.cpp flags you would
like to use. For example, to compile an optimized binary for an Intel i9-9880H,
you might use:
```
OLLAMA_CUSTOM_CPU_DEFS="-DLLAMA_AVX=on -DLLAMA_AVX2=on -DLLAMA_F16C=on -DLLAMA_FMA=on" go generate ./...
go build .
```
#### Containerized Linux Build
If you have Docker available, you can build linux binaries with `./scripts/build_linux.sh` which has the CUDA and ROCm dependencies included. The resulting binary is placed in `./dist`
### Windows
Note: The windows build for Ollama is still under development.
Install required tools:
- MSVC toolchain - C/C++ and cmake as minimal requirements
- go version 1.21 or higher
- MinGW (pick one variant) with GCC.
- <https://www.mingw-w64.org/>
- <https://www.msys2.org/>
```powershell
$env:CGO_ENABLED="1"
go generate ./...
go build .
```
#### Windows CUDA (NVIDIA)
In addition to the common Windows development tools described above, install:
- [NVIDIA CUDA](https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html)

View File

@@ -8,35 +8,38 @@ To upgrade Ollama, run the installation process again. On the Mac, click the Oll
Review the [Troubleshooting](./troubleshooting.md) docs for more about using logs.
## How do I use Ollama server environment variables on Mac
## How do I configure Ollama server?
On macOS, Ollama runs in the background and is managed by the menubar app. If adding environment variables, Ollama will need to be run manually.
Ollama server can be configured with environment variables.
1. Click the menubar icon for Ollama and choose **Quit Ollama**.
2. Open a new terminal window and run the following command (this example uses `OLLAMA_HOST` with an IP address of `123.1.1.1`):
### Setting environment variables on Mac
```bash
OLLAMA_HOST=123.1.1.1 ollama serve
```
If Ollama is run as a macOS application, environment variables should be set using `launchctl`:
## How do I use Ollama server environment variables on Linux?
1. For each environment variable, call `launchctl setenv`.
If Ollama is installed with the install script, a systemd service was created, running as the Ollama user. To add an environment variable, such as OLLAMA_HOST, follow these steps:
```bash
launchctl setenv OLLAMA_HOST "0.0.0.0"
```
1. Create a `systemd` drop-in directory and add a config file. This is only needed once.
2. Restart Ollama application.
```bash
mkdir -p /etc/systemd/system/ollama.service.d
echo '[Service]' >>/etc/systemd/system/ollama.service.d/environment.conf
```
### Setting environment variables on Linux
2. For each environment variable, add it to the config file:
If Ollama is run as a systemd service, environment variables should be set using `systemctl`:
```bash
echo 'Environment="OLLAMA_HOST=0.0.0.0:11434"' >>/etc/systemd/system/ollama.service.d/environment.conf
```
1. Edit the systemd service by calling `systemctl edit ollama.service`. This will open an editor.
3. Reload `systemd` and restart Ollama:
2. For each environment variable, add a line `Environment` under section `[Service]`:
```ini
[Service]
Environment="OLLAMA_HOST=0.0.0.0"
```
3. Save and exit.
4. Reload `systemd` and restart Ollama:
```bash
systemctl daemon-reload
@@ -45,26 +48,26 @@ If Ollama is installed with the install script, a systemd service was created, r
## How can I expose Ollama on my network?
Ollama binds to 127.0.0.1 port 11434 by default. Change the bind address with the `OLLAMA_HOST` environment variable. Refer to the section above for how to use environment variables on your platform.
Ollama binds 127.0.0.1 port 11434 by default. Change the bind address with the `OLLAMA_HOST` environment variable.
Refer to the section [above](#how-do-i-configure-ollama-server) for how to set environment variables on your platform.
## How can I allow additional web origins to access Ollama?
Ollama allows cross-origin requests from `127.0.0.1` and `0.0.0.0` by default. Add additional origins with the `OLLAMA_ORIGINS` environment variable. For example, to add all ports on 192.168.1.1 and https://example.com, use:
Ollama allows cross-origin requests from `127.0.0.1` and `0.0.0.0` by default. Additional origins can be configured with `OLLAMA_ORIGINS`.
```shell
OLLAMA_ORIGINS=http://192.168.1.1:*,https://example.com
```
Refer to the section above for how to use environment variables on your platform.
Refer to the section [above](#how-do-i-configure-ollama-server) for how to set environment variables on your platform.
## Where are models stored?
- macOS: `~/.ollama/models`.
- Linux: `/usr/share/ollama/.ollama/models`
## How do I set them to a different location?
### How do I set them to a different location?
If a different directory needs to be used, set the environment variable `OLLAMA_MODELS` to the chosen directory. Refer to the section above for how to use environment variables on your platform.
If a different directory needs to be used, set the environment variable `OLLAMA_MODELS` to the chosen directory.
Refer to the section [above](#how-do-i-configure-ollama-server) for how to set environment variables on your platform.
## Does Ollama send my prompts and answers back to Ollama.ai to use in any way?

View File

@@ -109,8 +109,9 @@ Remove the ollama binary from your bin directory (either `/usr/local/bin`, `/usr
sudo rm $(which ollama)
```
Remove the downloaded models and Ollama service user:
Remove the downloaded models and Ollama service user and group:
```bash
sudo rm -r /usr/share/ollama
sudo userdel ollama
sudo groupdel ollama
```

View File

@@ -19,6 +19,7 @@ A model file is the blueprint to create and share models with Ollama.
- [SYSTEM](#system)
- [ADAPTER](#adapter)
- [LICENSE](#license)
- [MESSAGE](#message)
- [Notes](#notes)
## Format
@@ -38,6 +39,7 @@ INSTRUCTION arguments
| [`SYSTEM`](#system) | Specifies the system message that will be set in the template. |
| [`ADAPTER`](#adapter) | Defines the (Q)LoRA adapters to apply to the model. |
| [`LICENSE`](#license) | Specifies the legal license. |
| [`MESSAGE`](#message) | Specify message history. |
## Examples
@@ -156,11 +158,12 @@ PARAMETER <parameter> <parametervalue>
#### Template Variables
| Variable | Description |
| --------------- | ------------------------------------------------------------------------------------------------------------- |
| `{{ .System }}` | The system message used to specify custom behavior, this must also be set in the Modelfile as an instruction. |
| `{{ .Prompt }}` | The incoming prompt, this is not specified in the model file and will be set based on input. |
| `{{ .First }}` | A boolean value used to render specific template information for the first generation of a session. |
| Variable | Description |
| ----------------- | ------------------------------------------------------------------------------------------------------------- |
| `{{ .System }}` | The system message used to specify custom behavior, this must also be set in the Modelfile as an instruction. |
| `{{ .Prompt }}` | The incoming prompt, this is not specified in the model file and will be set based on input. |
| `{{ .Response }}` | The response from the LLM, if not specified response is appended to the end of the template. |
| `{{ .First }}` | A boolean value used to render specific template information for the first generation of a session. |
```modelfile
TEMPLATE """
@@ -204,6 +207,19 @@ LICENSE """
"""
```
### MESSAGE
The `MESSAGE` instruction allows you to specify a message history for the model to use when responding:
```modelfile
MESSAGE user Is Toronto in Canada?
MESSAGE assistant yes
MESSAGE user Is Sacramento in Canada?
MESSAGE assistant no
MESSAGE user Is Ontario in Canada?
MESSAGE assistant yes
```
## Notes
- the **`Modelfile` is not case sensitive**. In the examples, uppercase instructions are used to make it easier to distinguish it from arguments.

View File

@@ -12,11 +12,49 @@ On Linux systems with systemd, the logs can be found with this command:
journalctl -u ollama
```
When you run Ollama in a container, the logs go to stdout/stderr in the container:
```shell
docker logs <container-name>
```
(Use `docker ps` to find the container name)
If manually running `ollama serve` in a terminal, the logs will be on that terminal.
Join the [Discord](https://discord.gg/ollama) for help interpreting the logs.
## LLM libraries
Ollama includes multiple LLM libraries compiled for different GPUs and CPU
vector features. Ollama tries to pick the best one based on the capabilities of
your system. If this autodetection has problems, or you run into other problems
(e.g. crashes in your GPU) you can workaround this by forcing a specific LLM
library. `cpu_avx2` will perform the best, followed by `cpu_avx` an the slowest
but most compatible is `cpu`. Rosetta emulation under MacOS will work with the
`cpu` library.
In the server log, you will see a message that looks something like this (varies
from release to release):
```
Dynamic LLM libraries [rocm_v6 cpu cpu_avx cpu_avx2 cuda_v11 rocm_v5]
```
**Experimental LLM Library Override**
You can set OLLAMA_LLM_LIBRARY to any of the available LLM libraries to bypass
autodetection, so for example, if you have a CUDA card, but want to force the
CPU LLM library with AVX2 vector support, use:
```
OLLAMA_LLM_LIBRARY="cpu_avx2" ollama serve
```
You can see what features your CPU has with the following.
```
cat /proc/cpuinfo| grep flags | head -1
```
## Known issues
* `signal: illegal instruction (core dumped)`: Ollama requires AVX support from the CPU. This was introduced in 2011 and CPUs started offering it in 2012. CPUs from before that and some lower end CPUs after that may not have AVX support and thus are not supported by Ollama. Some users have had luck with building Ollama on their machines disabling the need for AVX.
* N/A

4
go.mod
View File

@@ -1,6 +1,6 @@
module github.com/jmorganca/ollama
go 1.20
go 1.21
require (
github.com/emirpasic/gods v1.18.1
@@ -45,7 +45,7 @@ require (
golang.org/x/crypto v0.14.0
golang.org/x/exp v0.0.0-20230817173708-d852ddb80c63
golang.org/x/net v0.17.0 // indirect
golang.org/x/sys v0.13.0 // indirect
golang.org/x/sys v0.13.0
golang.org/x/term v0.13.0
golang.org/x/text v0.13.0 // indirect
google.golang.org/protobuf v1.30.0 // indirect

21
gpu/cpu_common.go Normal file
View File

@@ -0,0 +1,21 @@
package gpu
import (
"log/slog"
"golang.org/x/sys/cpu"
)
func GetCPUVariant() string {
if cpu.X86.HasAVX2 {
slog.Info("CPU has AVX2")
return "avx2"
}
if cpu.X86.HasAVX {
slog.Info("CPU has AVX")
return "avx"
}
slog.Info("CPU does not have vector extensions")
// else LCD
return ""
}

View File

@@ -12,12 +12,14 @@ package gpu
import "C"
import (
"fmt"
"log"
"log/slog"
"os"
"path/filepath"
"runtime"
"strconv"
"strings"
"sync"
"unsafe"
"github.com/jmorganca/ollama/api"
)
type handles struct {
@@ -28,31 +30,86 @@ type handles struct {
var gpuMutex sync.Mutex
var gpuHandles *handles = nil
// With our current CUDA compile flags, older than 5.0 will not work properly
var CudaComputeMin = [2]C.int{5, 0}
// Possible locations for the nvidia-ml library
var CudaLinuxGlobs = []string{
"/usr/local/cuda/lib64/libnvidia-ml.so*",
"/usr/lib/x86_64-linux-gnu/nvidia/current/libnvidia-ml.so*",
"/usr/lib/x86_64-linux-gnu/libnvidia-ml.so*",
"/usr/lib/wsl/lib/libnvidia-ml.so*",
"/usr/lib/wsl/drivers/*/libnvidia-ml.so*",
"/opt/cuda/lib64/libnvidia-ml.so*",
"/usr/lib*/libnvidia-ml.so*",
"/usr/local/lib*/libnvidia-ml.so*",
"/usr/lib/aarch64-linux-gnu/nvidia/current/libnvidia-ml.so*",
"/usr/lib/aarch64-linux-gnu/libnvidia-ml.so*",
// TODO: are these stubs ever valid?
"/opt/cuda/targets/x86_64-linux/lib/stubs/libnvidia-ml.so*",
}
var CudaWindowsGlobs = []string{
"c:\\Windows\\System32\\nvml.dll",
}
var RocmLinuxGlobs = []string{
"/opt/rocm*/lib*/librocm_smi64.so*",
}
var RocmWindowsGlobs = []string{
"c:\\Windows\\System32\\rocm_smi64.dll",
}
// Note: gpuMutex must already be held
func initGPUHandles() {
// TODO - if the ollama build is CPU only, don't do these checks as they're irrelevant and confusing
log.Printf("Detecting GPU type")
gpuHandles = &handles{nil, nil}
var resp C.cuda_init_resp_t
C.cuda_init(&resp)
if resp.err != nil {
log.Printf("CUDA not detected: %s", C.GoString(resp.err))
C.free(unsafe.Pointer(resp.err))
var resp C.rocm_init_resp_t
C.rocm_init(&resp)
if resp.err != nil {
log.Printf("ROCm not detected: %s", C.GoString(resp.err))
C.free(unsafe.Pointer(resp.err))
} else {
log.Printf("Radeon GPU detected")
rocm := resp.rh
gpuHandles.rocm = &rocm
// TODO - if the ollama build is CPU only, don't do these checks as they're irrelevant and confusing
gpuHandles = &handles{nil, nil}
var cudaMgmtName string
var cudaMgmtPatterns []string
var rocmMgmtName string
var rocmMgmtPatterns []string
switch runtime.GOOS {
case "windows":
cudaMgmtName = "nvml.dll"
cudaMgmtPatterns = make([]string, len(CudaWindowsGlobs))
copy(cudaMgmtPatterns, CudaWindowsGlobs)
rocmMgmtName = "rocm_smi64.dll"
rocmMgmtPatterns = make([]string, len(RocmWindowsGlobs))
copy(rocmMgmtPatterns, RocmWindowsGlobs)
case "linux":
cudaMgmtName = "libnvidia-ml.so"
cudaMgmtPatterns = make([]string, len(CudaLinuxGlobs))
copy(cudaMgmtPatterns, CudaLinuxGlobs)
rocmMgmtName = "librocm_smi64.so"
rocmMgmtPatterns = make([]string, len(RocmLinuxGlobs))
copy(rocmMgmtPatterns, RocmLinuxGlobs)
default:
return
}
slog.Info("Detecting GPU type")
cudaLibPaths := FindGPULibs(cudaMgmtName, cudaMgmtPatterns)
if len(cudaLibPaths) > 0 {
cuda := LoadCUDAMgmt(cudaLibPaths)
if cuda != nil {
slog.Info("Nvidia GPU detected")
gpuHandles.cuda = cuda
return
}
}
rocmLibPaths := FindGPULibs(rocmMgmtName, rocmMgmtPatterns)
if len(rocmLibPaths) > 0 {
rocm := LoadROCMMgmt(rocmLibPaths)
if rocm != nil {
slog.Info("Radeon GPU detected")
gpuHandles.rocm = rocm
return
}
} else {
log.Printf("Nvidia GPU detected")
cuda := resp.ch
gpuHandles.cuda = &cuda
}
}
@@ -65,39 +122,84 @@ func GetGPUInfo() GpuInfo {
initGPUHandles()
}
// All our GPU builds on x86 have AVX enabled, so fallback to CPU if we don't detect at least AVX
cpuVariant := GetCPUVariant()
if cpuVariant == "" && runtime.GOARCH == "amd64" {
slog.Warn("CPU does not have AVX or AVX2, disabling GPU support.")
}
var memInfo C.mem_info_t
resp := GpuInfo{}
if gpuHandles.cuda != nil {
if gpuHandles.cuda != nil && (cpuVariant != "" || runtime.GOARCH != "amd64") {
C.cuda_check_vram(*gpuHandles.cuda, &memInfo)
if memInfo.err != nil {
log.Printf("error looking up CUDA GPU memory: %s", C.GoString(memInfo.err))
slog.Info(fmt.Sprintf("error looking up CUDA GPU memory: %s", C.GoString(memInfo.err)))
C.free(unsafe.Pointer(memInfo.err))
} else {
resp.Library = "cuda"
} else if memInfo.count > 0 {
// Verify minimum compute capability
var cc C.cuda_compute_capability_t
C.cuda_compute_capability(*gpuHandles.cuda, &cc)
if cc.err != nil {
slog.Info(fmt.Sprintf("error looking up CUDA GPU compute capability: %s", C.GoString(cc.err)))
C.free(unsafe.Pointer(cc.err))
} else if cc.major > CudaComputeMin[0] || (cc.major == CudaComputeMin[0] && cc.minor >= CudaComputeMin[1]) {
slog.Info(fmt.Sprintf("CUDA Compute Capability detected: %d.%d", cc.major, cc.minor))
resp.Library = "cuda"
} else {
slog.Info(fmt.Sprintf("CUDA GPU is too old. Falling back to CPU mode. Compute Capability detected: %d.%d", cc.major, cc.minor))
}
}
} else if gpuHandles.rocm != nil {
} else if gpuHandles.rocm != nil && (cpuVariant != "" || runtime.GOARCH != "amd64") {
C.rocm_check_vram(*gpuHandles.rocm, &memInfo)
if memInfo.err != nil {
log.Printf("error looking up ROCm GPU memory: %s", C.GoString(memInfo.err))
slog.Info(fmt.Sprintf("error looking up ROCm GPU memory: %s", C.GoString(memInfo.err)))
C.free(unsafe.Pointer(memInfo.err))
} else {
} else if memInfo.igpu_index >= 0 && memInfo.count == 1 {
// Only one GPU detected and it appears to be an integrated GPU - skip it
slog.Info("ROCm unsupported integrated GPU detected")
} else if memInfo.count > 0 {
if memInfo.igpu_index >= 0 {
// We have multiple GPUs reported, and one of them is an integrated GPU
// so we have to set the env var to bypass it
// If the user has specified their own ROCR_VISIBLE_DEVICES, don't clobber it
val := os.Getenv("ROCR_VISIBLE_DEVICES")
if val == "" {
devices := []string{}
for i := 0; i < int(memInfo.count); i++ {
if i == int(memInfo.igpu_index) {
continue
}
devices = append(devices, strconv.Itoa(i))
}
val = strings.Join(devices, ",")
os.Setenv("ROCR_VISIBLE_DEVICES", val)
}
slog.Info(fmt.Sprintf("ROCm integrated GPU detected - ROCR_VISIBLE_DEVICES=%s", val))
}
resp.Library = "rocm"
var version C.rocm_version_resp_t
C.rocm_get_version(*gpuHandles.rocm, &version)
verString := C.GoString(version.str)
if version.status == 0 {
resp.Variant = "v" + verString
} else {
slog.Info(fmt.Sprintf("failed to look up ROCm version: %s", verString))
}
C.free(unsafe.Pointer(version.str))
}
}
if resp.Library == "" {
C.cpu_check_ram(&memInfo)
// In the future we may offer multiple CPU variants to tune CPU features
if runtime.GOOS == "windows" {
resp.Library = "cpu"
} else {
resp.Library = "default"
}
resp.Library = "cpu"
resp.Variant = cpuVariant
}
if memInfo.err != nil {
log.Printf("error looking up CPU memory: %s", C.GoString(memInfo.err))
slog.Info(fmt.Sprintf("error looking up CPU memory: %s", C.GoString(memInfo.err)))
C.free(unsafe.Pointer(memInfo.err))
return resp
}
resp.DeviceCount = uint32(memInfo.count)
resp.FreeMemory = uint64(memInfo.free)
resp.TotalMemory = uint64(memInfo.total)
return resp
@@ -119,31 +221,111 @@ func getCPUMem() (memInfo, error) {
func CheckVRAM() (int64, error) {
gpuInfo := GetGPUInfo()
if gpuInfo.FreeMemory > 0 && (gpuInfo.Library == "cuda" || gpuInfo.Library == "rocm") {
return int64(gpuInfo.FreeMemory), nil
// leave 10% or 1024MiB of VRAM free per GPU to handle unaccounted for overhead
overhead := gpuInfo.FreeMemory / 10
gpus := uint64(gpuInfo.DeviceCount)
if overhead < gpus*1024*1024*1024 {
overhead = gpus * 1024 * 1024 * 1024
}
avail := int64(gpuInfo.FreeMemory - overhead)
slog.Debug(fmt.Sprintf("%s detected %d devices with %dM available memory", gpuInfo.Library, gpuInfo.DeviceCount, avail/1024/1024))
return avail, nil
}
return 0, fmt.Errorf("no GPU detected") // TODO - better handling of CPU based memory determiniation
}
func NumGPU(numLayer, fileSizeBytes int64, opts api.Options) int {
if opts.NumGPU != -1 {
return opts.NumGPU
func FindGPULibs(baseLibName string, patterns []string) []string {
// Multiple GPU libraries may exist, and some may not work, so keep trying until we exhaust them
var ldPaths []string
gpuLibPaths := []string{}
slog.Info(fmt.Sprintf("Searching for GPU management library %s", baseLibName))
switch runtime.GOOS {
case "windows":
ldPaths = strings.Split(os.Getenv("PATH"), ";")
case "linux":
ldPaths = strings.Split(os.Getenv("LD_LIBRARY_PATH"), ":")
default:
return gpuLibPaths
}
info := GetGPUInfo()
if info.Library == "cpu" || info.Library == "default" {
return 0
// Start with whatever we find in the PATH/LD_LIBRARY_PATH
for _, ldPath := range ldPaths {
d, err := filepath.Abs(ldPath)
if err != nil {
continue
}
patterns = append(patterns, filepath.Join(d, baseLibName+"*"))
}
/*
Calculate bytes per layer, this will roughly be the size of the model file divided by the number of layers.
We can store the model weights and the kv cache in vram,
to enable kv chache vram storage add two additional layers to the number of layers retrieved from the model file.
*/
bytesPerLayer := uint64(fileSizeBytes / numLayer)
// 75% of the absolute max number of layers we can fit in available VRAM, off-loading too many layers to the GPU can cause OOM errors
layers := int(info.FreeMemory/bytesPerLayer) * 3 / 4
log.Printf("%d MB VRAM available, loading up to %d %s GPU layers out of %d", info.FreeMemory/(1024*1024), layers, info.Library, numLayer)
return layers
slog.Debug(fmt.Sprintf("gpu management search paths: %v", patterns))
for _, pattern := range patterns {
// Ignore glob discovery errors
matches, _ := filepath.Glob(pattern)
for _, match := range matches {
// Resolve any links so we don't try the same lib multiple times
// and weed out any dups across globs
libPath := match
tmp := match
var err error
for ; err == nil; tmp, err = os.Readlink(libPath) {
if !filepath.IsAbs(tmp) {
tmp = filepath.Join(filepath.Dir(libPath), tmp)
}
libPath = tmp
}
new := true
for _, cmp := range gpuLibPaths {
if cmp == libPath {
new = false
break
}
}
if new {
gpuLibPaths = append(gpuLibPaths, libPath)
}
}
}
slog.Info(fmt.Sprintf("Discovered GPU libraries: %v", gpuLibPaths))
return gpuLibPaths
}
func LoadCUDAMgmt(cudaLibPaths []string) *C.cuda_handle_t {
var resp C.cuda_init_resp_t
resp.ch.verbose = getVerboseState()
for _, libPath := range cudaLibPaths {
lib := C.CString(libPath)
defer C.free(unsafe.Pointer(lib))
C.cuda_init(lib, &resp)
if resp.err != nil {
slog.Info(fmt.Sprintf("Unable to load CUDA management library %s: %s", libPath, C.GoString(resp.err)))
C.free(unsafe.Pointer(resp.err))
} else {
return &resp.ch
}
}
return nil
}
func LoadROCMMgmt(rocmLibPaths []string) *C.rocm_handle_t {
var resp C.rocm_init_resp_t
resp.rh.verbose = getVerboseState()
for _, libPath := range rocmLibPaths {
lib := C.CString(libPath)
defer C.free(unsafe.Pointer(lib))
C.rocm_init(lib, &resp)
if resp.err != nil {
slog.Info(fmt.Sprintf("Unable to load ROCm management library %s: %s", libPath, C.GoString(resp.err)))
C.free(unsafe.Pointer(resp.err))
} else {
return &resp.rh
}
}
return nil
}
func getVerboseState() C.uint16_t {
if debug := os.Getenv("OLLAMA_DEBUG"); debug != "" {
return C.uint16_t(1)
}
return C.uint16_t(0)
}

View File

@@ -6,21 +6,41 @@ import "C"
import (
"runtime"
"github.com/jmorganca/ollama/api"
"github.com/pbnjay/memory"
)
// CheckVRAM returns the free VRAM in bytes on Linux machines with NVIDIA GPUs
func CheckVRAM() (int64, error) {
// TODO - assume metal, and return free memory?
return 0, nil
if runtime.GOARCH == "amd64" {
// gpu not supported, this may not be metal
return 0, nil
}
// on macOS, there's already buffer for available vram (see below) so just return the total
systemMemory := int64(memory.TotalMemory())
// macOS limits how much memory is available to the GPU based on the amount of system memory
// TODO: handle case where iogpu.wired_limit_mb is set to a higher value
if systemMemory <= 36*1024*1024*1024 {
systemMemory = systemMemory * 2 / 3
} else {
systemMemory = systemMemory * 3 / 4
}
return systemMemory, nil
}
func GetGPUInfo() GpuInfo {
// TODO - Metal vs. x86 macs...
mem, _ := getCPUMem()
if runtime.GOARCH == "amd64" {
return GpuInfo{
Library: "cpu",
Variant: GetCPUVariant(),
memInfo: mem,
}
}
return GpuInfo{
Library: "default",
Library: "metal",
memInfo: mem,
}
}
@@ -29,22 +49,6 @@ func getCPUMem() (memInfo, error) {
return memInfo{
TotalMemory: 0,
FreeMemory: 0,
DeviceCount: 0,
}, nil
}
func NumGPU(numLayer, fileSizeBytes int64, opts api.Options) int {
if opts.NumGPU != -1 {
return opts.NumGPU
}
// metal only supported on arm64
if runtime.GOARCH == "arm64" {
return 1
}
return 0
}
func nativeInit() error {
return nil
}

View File

@@ -27,6 +27,13 @@
#endif
#define LOG(verbose, ...) \
do { \
if (verbose) { \
fprintf(stderr, __VA_ARGS__); \
} \
} while (0)
#ifdef __cplusplus
extern "C" {
#endif
@@ -34,6 +41,8 @@ extern "C" {
typedef struct mem_info {
uint64_t total;
uint64_t free;
unsigned int count;
int igpu_index; // If >= 0, we detected an integrated GPU to ignore
char *err; // If non-nill, caller responsible for freeing
} mem_info_t;

View File

@@ -8,6 +8,7 @@ void cpu_check_ram(mem_info_t *resp) {
MEMORYSTATUSEX info;
info.dwLength = sizeof(info);
if (GlobalMemoryStatusEx(&info) != 0) {
resp->count = 1;
resp->total = info.ullTotalPhys;
resp->free = info.ullAvailPhys;
} else {
@@ -26,6 +27,7 @@ void cpu_check_ram(mem_info_t *resp) {
if (sysinfo(&info) != 0) {
resp->err = strdup(strerror(errno));
} else {
resp->count = 1;
resp->total = info.totalram * info.mem_unit;
resp->free = info.freeram * info.mem_unit;
}

View File

@@ -4,23 +4,7 @@
#include <string.h>
#ifndef _WIN32
const char *cuda_lib_paths[] = {
"libnvidia-ml.so",
"/usr/local/cuda/lib64/libnvidia-ml.so",
"/usr/lib/x86_64-linux-gnu/nvidia/current/libnvidia-ml.so",
"/usr/lib/wsl/lib/libnvidia-ml.so.1", // TODO Maybe glob?
NULL,
};
#else
const char *cuda_lib_paths[] = {
"nvml.dll",
"",
NULL,
};
#endif
void cuda_init(cuda_init_resp_t *resp) {
void cuda_init(char *cuda_lib_path, cuda_init_resp_t *resp) {
nvmlReturn_t ret;
resp->err = NULL;
const int buflen = 256;
@@ -30,34 +14,47 @@ void cuda_init(cuda_init_resp_t *resp) {
struct lookup {
char *s;
void **p;
} l[4] = {
{"nvmlInit_v2", (void *)&resp->ch.initFn},
{"nvmlShutdown", (void *)&resp->ch.shutdownFn},
{"nvmlDeviceGetHandleByIndex", (void *)&resp->ch.getHandle},
{"nvmlDeviceGetMemoryInfo", (void *)&resp->ch.getMemInfo},
} l[] = {
{"nvmlInit_v2", (void *)&resp->ch.nvmlInit_v2},
{"nvmlShutdown", (void *)&resp->ch.nvmlShutdown},
{"nvmlDeviceGetHandleByIndex", (void *)&resp->ch.nvmlDeviceGetHandleByIndex},
{"nvmlDeviceGetMemoryInfo", (void *)&resp->ch.nvmlDeviceGetMemoryInfo},
{"nvmlDeviceGetCount_v2", (void *)&resp->ch.nvmlDeviceGetCount_v2},
{"nvmlDeviceGetCudaComputeCapability", (void *)&resp->ch.nvmlDeviceGetCudaComputeCapability},
{"nvmlSystemGetDriverVersion", (void *)&resp->ch.nvmlSystemGetDriverVersion},
{"nvmlDeviceGetName", (void *)&resp->ch.nvmlDeviceGetName},
{"nvmlDeviceGetSerial", (void *)&resp->ch.nvmlDeviceGetSerial},
{"nvmlDeviceGetVbiosVersion", (void *)&resp->ch.nvmlDeviceGetVbiosVersion},
{"nvmlDeviceGetBoardPartNumber", (void *)&resp->ch.nvmlDeviceGetBoardPartNumber},
{"nvmlDeviceGetBrand", (void *)&resp->ch.nvmlDeviceGetBrand},
{NULL, NULL},
};
for (i = 0; cuda_lib_paths[i] != NULL && resp->ch.handle == NULL; i++) {
resp->ch.handle = LOAD_LIBRARY(cuda_lib_paths[i], RTLD_LAZY);
}
resp->ch.handle = LOAD_LIBRARY(cuda_lib_path, RTLD_LAZY);
if (!resp->ch.handle) {
// TODO improve error message, as the LOAD_ERR will have typically have the
// final path that was checked which might be confusing.
char *msg = LOAD_ERR();
LOG(resp->ch.verbose, "library %s load err: %s\n", cuda_lib_path, msg);
snprintf(buf, buflen,
"Unable to load %s library to query for Nvidia GPUs: %s",
cuda_lib_paths[0], msg);
cuda_lib_path, msg);
free(msg);
resp->err = strdup(buf);
return;
}
for (i = 0; i < 4; i++) { // TODO - fix this to use a null terminated list
// TODO once we've squashed the remaining corner cases remove this log
LOG(resp->ch.verbose, "wiring nvidia management library functions in %s\n", cuda_lib_path);
for (i = 0; l[i].s != NULL; i++) {
// TODO once we've squashed the remaining corner cases remove this log
LOG(resp->ch.verbose, "dlsym: %s\n", l[i].s);
*l[i].p = LOAD_SYMBOL(resp->ch.handle, l[i].s);
if (!l[i].p) {
UNLOAD_LIBRARY(resp->ch.handle);
resp->ch.handle = NULL;
char *msg = LOAD_ERR();
LOG(resp->ch.verbose, "dlerr: %s\n", msg);
UNLOAD_LIBRARY(resp->ch.handle);
snprintf(buf, buflen, "symbol lookup for %s failed: %s", l[i].s,
msg);
free(msg);
@@ -66,13 +63,23 @@ void cuda_init(cuda_init_resp_t *resp) {
}
}
ret = (*resp->ch.initFn)();
ret = (*resp->ch.nvmlInit_v2)();
if (ret != NVML_SUCCESS) {
LOG(resp->ch.verbose, "nvmlInit_v2 err: %d\n", ret);
UNLOAD_LIBRARY(resp->ch.handle);
resp->ch.handle = NULL;
snprintf(buf, buflen, "nvml vram init failure: %d", ret);
resp->err = strdup(buf);
return;
}
return;
// Report driver version if we're in verbose mode, ignore errors
ret = (*resp->ch.nvmlSystemGetDriverVersion)(buf, buflen);
if (ret != NVML_SUCCESS) {
LOG(resp->ch.verbose, "nvmlSystemGetDriverVersion failed: %d\n", ret);
} else {
LOG(resp->ch.verbose, "CUDA driver version: %s\n", buf);
}
}
void cuda_check_vram(cuda_handle_t h, mem_info_t *resp) {
@@ -89,22 +96,119 @@ void cuda_check_vram(cuda_handle_t h, mem_info_t *resp) {
return;
}
// TODO - handle multiple GPUs
ret = (*h.getHandle)(0, &device);
ret = (*h.nvmlDeviceGetCount_v2)(&resp->count);
if (ret != NVML_SUCCESS) {
snprintf(buf, buflen, "unable to get device handle: %d", ret);
snprintf(buf, buflen, "unable to get device count: %d", ret);
resp->err = strdup(buf);
return;
}
ret = (*h.getMemInfo)(device, &memInfo);
resp->total = 0;
resp->free = 0;
for (i = 0; i < resp->count; i++) {
ret = (*h.nvmlDeviceGetHandleByIndex)(i, &device);
if (ret != NVML_SUCCESS) {
snprintf(buf, buflen, "unable to get device handle %d: %d", i, ret);
resp->err = strdup(buf);
return;
}
ret = (*h.nvmlDeviceGetMemoryInfo)(device, &memInfo);
if (ret != NVML_SUCCESS) {
snprintf(buf, buflen, "device memory info lookup failure %d: %d", i, ret);
resp->err = strdup(buf);
return;
}
if (h.verbose) {
nvmlBrandType_t brand = 0;
// When in verbose mode, report more information about
// the card we discover, but don't fail on error
ret = (*h.nvmlDeviceGetName)(device, buf, buflen);
if (ret != RSMI_STATUS_SUCCESS) {
LOG(h.verbose, "nvmlDeviceGetName failed: %d\n", ret);
} else {
LOG(h.verbose, "[%d] CUDA device name: %s\n", i, buf);
}
ret = (*h.nvmlDeviceGetBoardPartNumber)(device, buf, buflen);
if (ret != RSMI_STATUS_SUCCESS) {
LOG(h.verbose, "nvmlDeviceGetBoardPartNumber failed: %d\n", ret);
} else {
LOG(h.verbose, "[%d] CUDA part number: %s\n", i, buf);
}
ret = (*h.nvmlDeviceGetSerial)(device, buf, buflen);
if (ret != RSMI_STATUS_SUCCESS) {
LOG(h.verbose, "nvmlDeviceGetSerial failed: %d\n", ret);
} else {
LOG(h.verbose, "[%d] CUDA S/N: %s\n", i, buf);
}
ret = (*h.nvmlDeviceGetVbiosVersion)(device, buf, buflen);
if (ret != RSMI_STATUS_SUCCESS) {
LOG(h.verbose, "nvmlDeviceGetVbiosVersion failed: %d\n", ret);
} else {
LOG(h.verbose, "[%d] CUDA vbios version: %s\n", i, buf);
}
ret = (*h.nvmlDeviceGetBrand)(device, &brand);
if (ret != RSMI_STATUS_SUCCESS) {
LOG(h.verbose, "nvmlDeviceGetBrand failed: %d\n", ret);
} else {
LOG(h.verbose, "[%d] CUDA brand: %d\n", i, brand);
}
}
LOG(h.verbose, "[%d] CUDA totalMem %ld\n", i, memInfo.total);
LOG(h.verbose, "[%d] CUDA usedMem %ld\n", i, memInfo.free);
resp->total += memInfo.total;
resp->free += memInfo.free;
}
}
void cuda_compute_capability(cuda_handle_t h, cuda_compute_capability_t *resp) {
resp->err = NULL;
resp->major = 0;
resp->minor = 0;
nvmlDevice_t device;
int major = 0;
int minor = 0;
nvmlReturn_t ret;
const int buflen = 256;
char buf[buflen + 1];
int i;
if (h.handle == NULL) {
resp->err = strdup("nvml handle not initialized");
return;
}
unsigned int devices;
ret = (*h.nvmlDeviceGetCount_v2)(&devices);
if (ret != NVML_SUCCESS) {
snprintf(buf, buflen, "device memory info lookup failure: %d", ret);
snprintf(buf, buflen, "unable to get device count: %d", ret);
resp->err = strdup(buf);
return;
}
resp->total = memInfo.total;
resp->free = memInfo.free;
return;
for (i = 0; i < devices; i++) {
ret = (*h.nvmlDeviceGetHandleByIndex)(i, &device);
if (ret != NVML_SUCCESS) {
snprintf(buf, buflen, "unable to get device handle %d: %d", i, ret);
resp->err = strdup(buf);
return;
}
ret = (*h.nvmlDeviceGetCudaComputeCapability)(device, &major, &minor);
if (ret != NVML_SUCCESS) {
snprintf(buf, buflen, "device compute capability lookup failure %d: %d", i, ret);
resp->err = strdup(buf);
return;
}
// Report the lowest major.minor we detect as that limits our compatibility
if (resp->major == 0 || resp->major > major ) {
resp->major = major;
resp->minor = minor;
} else if ( resp->major == major && resp->minor > minor ) {
resp->minor = minor;
}
}
}
#endif // __APPLE__

View File

@@ -15,12 +15,26 @@ typedef struct nvmlMemory_st {
unsigned long long used;
} nvmlMemory_t;
typedef enum nvmlBrandType_enum
{
NVML_BRAND_UNKNOWN = 0,
} nvmlBrandType_t;
typedef struct cuda_handle {
void *handle;
nvmlReturn_t (*initFn)(void);
nvmlReturn_t (*shutdownFn)(void);
nvmlReturn_t (*getHandle)(unsigned int, nvmlDevice_t *);
nvmlReturn_t (*getMemInfo)(nvmlDevice_t, nvmlMemory_t *);
uint16_t verbose;
nvmlReturn_t (*nvmlInit_v2)(void);
nvmlReturn_t (*nvmlShutdown)(void);
nvmlReturn_t (*nvmlDeviceGetHandleByIndex)(unsigned int, nvmlDevice_t *);
nvmlReturn_t (*nvmlDeviceGetMemoryInfo)(nvmlDevice_t, nvmlMemory_t *);
nvmlReturn_t (*nvmlDeviceGetCount_v2)(unsigned int *);
nvmlReturn_t (*nvmlDeviceGetCudaComputeCapability)(nvmlDevice_t, int* major, int* minor);
nvmlReturn_t (*nvmlSystemGetDriverVersion) (char* version, unsigned int length);
nvmlReturn_t (*nvmlDeviceGetName) (nvmlDevice_t device, char* name, unsigned int length);
nvmlReturn_t (*nvmlDeviceGetSerial) (nvmlDevice_t device, char* serial, unsigned int length);
nvmlReturn_t (*nvmlDeviceGetVbiosVersion) (nvmlDevice_t device, char* version, unsigned int length);
nvmlReturn_t (*nvmlDeviceGetBoardPartNumber) (nvmlDevice_t device, char* partNumber, unsigned int length);
nvmlReturn_t (*nvmlDeviceGetBrand) (nvmlDevice_t device, nvmlBrandType_t* type);
} cuda_handle_t;
typedef struct cuda_init_resp {
@@ -28,8 +42,15 @@ typedef struct cuda_init_resp {
cuda_handle_t ch;
} cuda_init_resp_t;
void cuda_init(cuda_init_resp_t *resp);
typedef struct cuda_compute_capability {
char *err;
int major;
int minor;
} cuda_compute_capability_t;
void cuda_init(char *cuda_lib_path, cuda_init_resp_t *resp);
void cuda_check_vram(cuda_handle_t ch, mem_info_t *resp);
void cuda_compute_capability(cuda_handle_t ch, cuda_compute_capability_t *cc);
#endif // __GPU_INFO_CUDA_H__
#endif // __APPLE__

View File

@@ -4,22 +4,7 @@
#include <string.h>
#ifndef _WIN32
const char *rocm_lib_paths[] = {
"librocm_smi64.so",
"/opt/rocm/lib/librocm_smi64.so",
NULL,
};
#else
// TODO untested
const char *rocm_lib_paths[] = {
"rocm_smi64.dll",
"/opt/rocm/lib/rocm_smi64.dll",
NULL,
};
#endif
void rocm_init(rocm_init_resp_t *resp) {
void rocm_init(char *rocm_lib_path, rocm_init_resp_t *resp) {
rsmi_status_t ret;
resp->err = NULL;
const int buflen = 256;
@@ -28,32 +13,48 @@ void rocm_init(rocm_init_resp_t *resp) {
struct lookup {
char *s;
void **p;
} l[4] = {
{"rsmi_init", (void *)&resp->rh.initFn},
{"rsmi_shut_down", (void *)&resp->rh.shutdownFn},
{"rsmi_dev_memory_total_get", (void *)&resp->rh.totalMemFn},
{"rsmi_dev_memory_usage_get", (void *)&resp->rh.usageMemFn},
// { "rsmi_dev_id_get", (void*)&resp->rh.getHandle },
} l[] = {
{"rsmi_init", (void *)&resp->rh.rsmi_init},
{"rsmi_shut_down", (void *)&resp->rh.rsmi_shut_down},
{"rsmi_dev_memory_total_get", (void *)&resp->rh.rsmi_dev_memory_total_get},
{"rsmi_dev_memory_usage_get", (void *)&resp->rh.rsmi_dev_memory_usage_get},
{"rsmi_version_get", (void *)&resp->rh.rsmi_version_get},
{"rsmi_num_monitor_devices", (void*)&resp->rh.rsmi_num_monitor_devices},
{"rsmi_dev_id_get", (void*)&resp->rh.rsmi_dev_id_get},
{"rsmi_dev_name_get", (void *)&resp->rh.rsmi_dev_name_get},
{"rsmi_dev_brand_get", (void *)&resp->rh.rsmi_dev_brand_get},
{"rsmi_dev_vendor_name_get", (void *)&resp->rh.rsmi_dev_vendor_name_get},
{"rsmi_dev_vram_vendor_get", (void *)&resp->rh.rsmi_dev_vram_vendor_get},
{"rsmi_dev_serial_number_get", (void *)&resp->rh.rsmi_dev_serial_number_get},
{"rsmi_dev_subsystem_name_get", (void *)&resp->rh.rsmi_dev_subsystem_name_get},
{"rsmi_dev_vbios_version_get", (void *)&resp->rh.rsmi_dev_vbios_version_get},
{NULL, NULL},
};
for (i = 0; rocm_lib_paths[i] != NULL && resp->rh.handle == NULL; i++) {
resp->rh.handle = LOAD_LIBRARY(rocm_lib_paths[i], RTLD_LAZY);
}
resp->rh.handle = LOAD_LIBRARY(rocm_lib_path, RTLD_LAZY);
if (!resp->rh.handle) {
char *msg = LOAD_ERR();
snprintf(buf, buflen,
"Unable to load %s library to query for Radeon GPUs: %s\n",
rocm_lib_paths[0], msg);
rocm_lib_path, msg);
free(msg);
resp->err = strdup(buf);
return;
}
for (i = 0; i < 4; i++) {
// TODO once we've squashed the remaining corner cases remove this log
LOG(resp->rh.verbose, "wiring rocm management library functions in %s\n", rocm_lib_path);
for (i = 0; l[i].s != NULL; i++) {
// TODO once we've squashed the remaining corner cases remove this log
LOG(resp->rh.verbose, "dlsym: %s\n", l[i].s);
*l[i].p = LOAD_SYMBOL(resp->rh.handle, l[i].s);
if (!l[i].p) {
UNLOAD_LIBRARY(resp->rh.handle);
resp->rh.handle = NULL;
char *msg = LOAD_ERR();
LOG(resp->rh.verbose, "dlerr: %s\n", msg);
UNLOAD_LIBRARY(resp->rh.handle);
snprintf(buf, buflen, "symbol lookup for %s failed: %s", l[i].s,
msg);
free(msg);
@@ -62,8 +63,11 @@ void rocm_init(rocm_init_resp_t *resp) {
}
}
ret = (*resp->rh.initFn)(0);
ret = (*resp->rh.rsmi_init)(0);
if (ret != RSMI_STATUS_SUCCESS) {
LOG(resp->rh.verbose, "rsmi_init err: %d\n", ret);
UNLOAD_LIBRARY(resp->rh.handle);
resp->rh.handle = NULL;
snprintf(buf, buflen, "rocm vram init failure: %d", ret);
resp->err = strdup(buf);
}
@@ -73,8 +77,7 @@ void rocm_init(rocm_init_resp_t *resp) {
void rocm_check_vram(rocm_handle_t h, mem_info_t *resp) {
resp->err = NULL;
// uint32_t num_devices;
// uint16_t device;
resp->igpu_index = -1;
uint64_t totalMem = 0;
uint64_t usedMem = 0;
rsmi_status_t ret;
@@ -83,36 +86,113 @@ void rocm_check_vram(rocm_handle_t h, mem_info_t *resp) {
int i;
if (h.handle == NULL) {
resp->err = strdup("nvml handle sn't initialized");
resp->err = strdup("rocm handle not initialized");
return;
}
// TODO - iterate through devices... ret =
// rsmi_num_monitor_devices(&num_devices);
// ret = (*h.getHandle)(0, &device);
// if (ret != RSMI_STATUS_SUCCESS) {
// printf("rocm vram device lookup failure: %d\n", ret);
// return -1;
// }
// Get total memory - used memory for available memory
ret = (*h.totalMemFn)(0, RSMI_MEM_TYPE_VRAM, &totalMem);
ret = (*h.rsmi_num_monitor_devices)(&resp->count);
if (ret != RSMI_STATUS_SUCCESS) {
snprintf(buf, buflen, "rocm total mem lookup failure: %d", ret);
resp->err = strdup(buf);
return;
}
ret = (*h.usageMemFn)(0, RSMI_MEM_TYPE_VRAM, &usedMem);
if (ret != RSMI_STATUS_SUCCESS) {
snprintf(buf, buflen, "rocm usage mem lookup failure: %d", ret);
snprintf(buf, buflen, "unable to get device count: %d", ret);
resp->err = strdup(buf);
return;
}
LOG(h.verbose, "discovered %d ROCm GPU Devices\n", resp->count);
resp->total = totalMem;
resp->free = totalMem - usedMem;
return;
resp->total = 0;
resp->free = 0;
for (i = 0; i < resp->count; i++) {
if (h.verbose) {
// When in verbose mode, report more information about
// the card we discover, but don't fail on error
ret = (*h.rsmi_dev_name_get)(i, buf, buflen);
if (ret != RSMI_STATUS_SUCCESS) {
LOG(h.verbose, "rsmi_dev_name_get failed: %d\n", ret);
} else {
LOG(h.verbose, "[%d] ROCm device name: %s\n", i, buf);
}
ret = (*h.rsmi_dev_brand_get)(i, buf, buflen);
if (ret != RSMI_STATUS_SUCCESS) {
LOG(h.verbose, "rsmi_dev_brand_get failed: %d\n", ret);
} else {
LOG(h.verbose, "[%d] ROCm brand: %s\n", i, buf);
}
ret = (*h.rsmi_dev_vendor_name_get)(i, buf, buflen);
if (ret != RSMI_STATUS_SUCCESS) {
LOG(h.verbose, "rsmi_dev_vendor_name_get failed: %d\n", ret);
} else {
LOG(h.verbose, "[%d] ROCm vendor: %s\n", i, buf);
}
ret = (*h.rsmi_dev_vram_vendor_get)(i, buf, buflen);
if (ret != RSMI_STATUS_SUCCESS) {
LOG(h.verbose, "rsmi_dev_vram_vendor_get failed: %d\n", ret);
} else {
LOG(h.verbose, "[%d] ROCm VRAM vendor: %s\n", i, buf);
}
ret = (*h.rsmi_dev_serial_number_get)(i, buf, buflen);
if (ret != RSMI_STATUS_SUCCESS) {
LOG(h.verbose, "rsmi_dev_serial_number_get failed: %d\n", ret);
} else {
LOG(h.verbose, "[%d] ROCm S/N: %s\n", i, buf);
}
ret = (*h.rsmi_dev_subsystem_name_get)(i, buf, buflen);
if (ret != RSMI_STATUS_SUCCESS) {
LOG(h.verbose, "rsmi_dev_subsystem_name_get failed: %d\n", ret);
} else {
LOG(h.verbose, "[%d] ROCm subsystem name: %s\n", i, buf);
}
ret = (*h.rsmi_dev_vbios_version_get)(i, buf, buflen);
if (ret != RSMI_STATUS_SUCCESS) {
LOG(h.verbose, "rsmi_dev_vbios_version_get failed: %d\n", ret);
} else {
LOG(h.verbose, "[%d] ROCm vbios version: %s\n", i, buf);
}
}
// Get total memory - used memory for available memory
ret = (*h.rsmi_dev_memory_total_get)(i, RSMI_MEM_TYPE_VRAM, &totalMem);
if (ret != RSMI_STATUS_SUCCESS) {
snprintf(buf, buflen, "rocm total mem lookup failure: %d", ret);
resp->err = strdup(buf);
return;
}
ret = (*h.rsmi_dev_memory_usage_get)(i, RSMI_MEM_TYPE_VRAM, &usedMem);
if (ret != RSMI_STATUS_SUCCESS) {
snprintf(buf, buflen, "rocm usage mem lookup failure: %d", ret);
resp->err = strdup(buf);
return;
}
LOG(h.verbose, "[%d] ROCm totalMem %ld\n", i, totalMem);
LOG(h.verbose, "[%d] ROCm usedMem %ld\n", i, usedMem);
if (totalMem < 1024 * 1024 * 1024) {
// Do not add up integrated GPU memory capacity, it's a bogus 512M, and actually uses system memory
LOG(h.verbose, "[%d] ROCm integrated GPU\n", i);
resp->igpu_index = i;
} else {
resp->total += totalMem;
resp->free += totalMem - usedMem;
}
}
}
#endif // __APPLE__
void rocm_get_version(rocm_handle_t h, rocm_version_resp_t *resp) {
const int buflen = 256;
char buf[buflen + 1];
if (h.handle == NULL) {
resp->str = strdup("rocm handle not initialized");
resp->status = 1;
return;
}
rsmi_version_t ver;
rsmi_status_t ret;
ret = h.rsmi_version_get(&ver);
if (ret != RSMI_STATUS_SUCCESS) {
snprintf(buf, buflen, "unexpected response on version lookup %d", ret);
resp->status = 1;
} else {
snprintf(buf, buflen, "%d", ver.major);
resp->status = 0;
}
resp->str = strdup(buf);
}
#endif // __APPLE__

View File

@@ -15,13 +15,30 @@ typedef enum rsmi_memory_type {
RSMI_MEM_TYPE_GTT,
} rsmi_memory_type_t;
typedef struct {
uint32_t major;
uint32_t minor;
uint32_t patch;
const char *build;
} rsmi_version_t;
typedef struct rocm_handle {
void *handle;
rsmi_status_t (*initFn)(uint64_t);
rsmi_status_t (*shutdownFn)(void);
rsmi_status_t (*totalMemFn)(uint32_t, rsmi_memory_type_t, uint64_t *);
rsmi_status_t (*usageMemFn)(uint32_t, rsmi_memory_type_t, uint64_t *);
// rsmi_status_t (*getHandle)(uint32_t, uint16_t *);
uint16_t verbose;
rsmi_status_t (*rsmi_init)(uint64_t);
rsmi_status_t (*rsmi_shut_down)(void);
rsmi_status_t (*rsmi_dev_memory_total_get)(uint32_t, rsmi_memory_type_t, uint64_t *);
rsmi_status_t (*rsmi_dev_memory_usage_get)(uint32_t, rsmi_memory_type_t, uint64_t *);
rsmi_status_t (*rsmi_version_get) (rsmi_version_t *version);
rsmi_status_t (*rsmi_num_monitor_devices) (uint32_t *);
rsmi_status_t (*rsmi_dev_id_get)(uint32_t, uint16_t *);
rsmi_status_t (*rsmi_dev_name_get) (uint32_t,char *,size_t);
rsmi_status_t (*rsmi_dev_brand_get) (uint32_t, char *, uint32_t);
rsmi_status_t (*rsmi_dev_vendor_name_get) (uint32_t, char *, uint32_t);
rsmi_status_t (*rsmi_dev_vram_vendor_get) (uint32_t, char *, uint32_t);
rsmi_status_t (*rsmi_dev_serial_number_get) (uint32_t, char *, uint32_t);
rsmi_status_t (*rsmi_dev_subsystem_name_get) (uint32_t, char *, uint32_t);
rsmi_status_t (*rsmi_dev_vbios_version_get) (uint32_t, char *, uint32_t);
} rocm_handle_t;
typedef struct rocm_init_resp {
@@ -29,8 +46,14 @@ typedef struct rocm_init_resp {
rocm_handle_t rh;
} rocm_init_resp_t;
void rocm_init(rocm_init_resp_t *resp);
typedef struct rocm_version_resp {
rsmi_status_t status;
char *str; // Contains version or error string if status != 0
} rocm_version_resp_t;
void rocm_init(char *rocm_lib_path, rocm_init_resp_t *resp);
void rocm_check_vram(rocm_handle_t rh, mem_info_t *resp);
void rocm_get_version(rocm_handle_t rh, rocm_version_resp_t *resp);
#endif // __GPU_INFO_ROCM_H__
#endif // __APPLE__

View File

@@ -9,7 +9,7 @@ import (
func TestBasicGetGPUInfo(t *testing.T) {
info := GetGPUInfo()
assert.Contains(t, "cuda rocm cpu default", info.Library)
assert.Contains(t, "cuda rocm cpu metal", info.Library)
switch runtime.GOOS {
case "darwin":
@@ -18,6 +18,7 @@ func TestBasicGetGPUInfo(t *testing.T) {
case "linux", "windows":
assert.Greater(t, info.TotalMemory, uint64(0))
assert.Greater(t, info.FreeMemory, uint64(0))
assert.Greater(t, info.DeviceCount, uint32(0))
default:
return
}
@@ -35,7 +36,6 @@ func TestCPUMemInfo(t *testing.T) {
default:
return
}
}
// TODO - add some logic to figure out card type through other means and actually verify we got back what we expected

View File

@@ -3,6 +3,7 @@ package gpu
type memInfo struct {
TotalMemory uint64 `json:"total_memory,omitempty"`
FreeMemory uint64 `json:"free_memory,omitempty"`
DeviceCount uint32 `json:"device_count,omitempty"`
}
// Beginning of an `ollama info` command
@@ -10,5 +11,8 @@ type GpuInfo struct {
memInfo
Library string `json:"library,omitempty"`
// Optional variant to select (e.g. versions, cpu feature flags)
Variant string `json:"variant,omitempty"`
// TODO add other useful attributes about the card here for discovery information
}

View File

@@ -1,11 +1,11 @@
#include "dynamic_shim.h"
#include "dyn_ext_server.h"
#include <stdio.h>
#include <string.h>
#ifdef __linux__
#include <dlfcn.h>
#define LOAD_LIBRARY(lib, flags) dlopen(lib, flags | RTLD_DEEPBIND)
#define LOAD_LIBRARY(lib, flags) dlopen(lib, flags)
#define LOAD_SYMBOL(handle, sym) dlsym(handle, sym)
#define LOAD_ERR() strdup(dlerror())
#define UNLOAD_LIBRARY(handle) dlclose(handle)
@@ -33,7 +33,7 @@ inline char *LOAD_ERR() {
#define UNLOAD_LIBRARY(handle) dlclose(handle)
#endif
void dynamic_shim_init(const char *libPath, struct dynamic_llama_server *s,
void dyn_init(const char *libPath, struct dynamic_llama_server *s,
ext_server_resp_t *err) {
int i = 0;
struct lookup {
@@ -58,8 +58,8 @@ void dynamic_shim_init(const char *libPath, struct dynamic_llama_server *s,
{"", NULL},
};
printf("Lazy loading %s library\n", libPath);
s->handle = LOAD_LIBRARY(libPath, RTLD_NOW);
printf("loading library %s\n", libPath);
s->handle = LOAD_LIBRARY(libPath, RTLD_LOCAL|RTLD_NOW);
if (!s->handle) {
err->id = -1;
char *msg = LOAD_ERR();
@@ -83,63 +83,63 @@ void dynamic_shim_init(const char *libPath, struct dynamic_llama_server *s,
}
}
inline void dynamic_shim_llama_server_init(struct dynamic_llama_server s,
inline void dyn_llama_server_init(struct dynamic_llama_server s,
ext_server_params_t *sparams,
ext_server_resp_t *err) {
s.llama_server_init(sparams, err);
}
inline void dynamic_shim_llama_server_start(struct dynamic_llama_server s) {
inline void dyn_llama_server_start(struct dynamic_llama_server s) {
s.llama_server_start();
}
inline void dynamic_shim_llama_server_stop(struct dynamic_llama_server s) {
inline void dyn_llama_server_stop(struct dynamic_llama_server s) {
s.llama_server_stop();
}
inline void dynamic_shim_llama_server_completion(struct dynamic_llama_server s,
inline void dyn_llama_server_completion(struct dynamic_llama_server s,
const char *json_req,
ext_server_resp_t *resp) {
s.llama_server_completion(json_req, resp);
}
inline void dynamic_shim_llama_server_completion_next_result(
inline void dyn_llama_server_completion_next_result(
struct dynamic_llama_server s, const int task_id,
ext_server_task_result_t *result) {
s.llama_server_completion_next_result(task_id, result);
}
inline void dynamic_shim_llama_server_completion_cancel(
inline void dyn_llama_server_completion_cancel(
struct dynamic_llama_server s, const int task_id, ext_server_resp_t *err) {
s.llama_server_completion_cancel(task_id, err);
}
inline void dynamic_shim_llama_server_release_task_result(
inline void dyn_llama_server_release_task_result(
struct dynamic_llama_server s, ext_server_task_result_t *result) {
s.llama_server_release_task_result(result);
}
inline void dynamic_shim_llama_server_tokenize(struct dynamic_llama_server s,
inline void dyn_llama_server_tokenize(struct dynamic_llama_server s,
const char *json_req,
char **json_resp,
ext_server_resp_t *err) {
s.llama_server_tokenize(json_req, json_resp, err);
}
inline void dynamic_shim_llama_server_detokenize(struct dynamic_llama_server s,
inline void dyn_llama_server_detokenize(struct dynamic_llama_server s,
const char *json_req,
char **json_resp,
ext_server_resp_t *err) {
s.llama_server_detokenize(json_req, json_resp, err);
}
inline void dynamic_shim_llama_server_embedding(struct dynamic_llama_server s,
inline void dyn_llama_server_embedding(struct dynamic_llama_server s,
const char *json_req,
char **json_resp,
ext_server_resp_t *err) {
s.llama_server_embedding(json_req, json_resp, err);
}
inline void dynamic_shim_llama_server_release_json_resp(
inline void dyn_llama_server_release_json_resp(
struct dynamic_llama_server s, char **json_resp) {
s.llama_server_release_json_resp(json_resp);
}

View File

@@ -1,63 +1,45 @@
package llm
/*
#cgo CFLAGS: -I${SRCDIR}/llama.cpp -I${SRCDIR}/llama.cpp/gguf -I${SRCDIR}/llama.cpp/gguf/common -I${SRCDIR}/llama.cpp/gguf/examples/server
#cgo CFLAGS: -I${SRCDIR}/ext_server -I${SRCDIR}/llama.cpp -I${SRCDIR}/llama.cpp/common -I${SRCDIR}/llama.cpp/examples/server
#cgo CFLAGS: -DNDEBUG -DLLAMA_SERVER_LIBRARY=1 -D_XOPEN_SOURCE=600 -DACCELERATE_NEW_LAPACK -DACCELERATE_LAPACK_ILP64
#cgo CFLAGS: -Wmissing-noreturn -Wall -Wextra -Wcast-qual -Wno-unused-function -Wno-array-bounds
#cgo CPPFLAGS: -Ofast -Wall -Wextra -Wno-unused-function -Wno-unused-variable -Wno-deprecated-declarations -Wno-unused-but-set-variable
#cgo CFLAGS: -Wmissing-noreturn -Wextra -Wcast-qual -Wno-unused-function -Wno-array-bounds
#cgo CPPFLAGS: -Ofast -Wextra -Wno-unused-function -Wno-unused-variable -Wno-deprecated-declarations
#cgo darwin CFLAGS: -D_DARWIN_C_SOURCE
#cgo darwin CPPFLAGS: -DGGML_USE_ACCELERATE
#cgo darwin CPPFLAGS: -DGGML_USE_METAL -DGGML_METAL_NDEBUG
#cgo darwin LDFLAGS: -lc++ -framework Accelerate
#cgo darwin LDFLAGS: -framework Foundation -framework Metal -framework MetalKit -framework MetalPerformanceShaders
#cgo darwin LDFLAGS: ${SRCDIR}/llama.cpp/gguf/build/darwin/metal/lib/libcommon.a
#cgo darwin LDFLAGS: ${SRCDIR}/llama.cpp/gguf/build/darwin/metal/lib/libext_server.a
#cgo darwin LDFLAGS: ${SRCDIR}/llama.cpp/gguf/build/darwin/metal/lib/libllama.a
#cgo darwin LDFLAGS: ${SRCDIR}/llama.cpp/gguf/build/darwin/metal/lib/libggml_static.a
#cgo linux CFLAGS: -D_GNU_SOURCE
#cgo linux windows CFLAGS: -DGGML_CUDA_DMMV_X=32 -DGGML_CUDA_MMV_Y=1 -DGGML_CUDA_PEER_MAX_BATCH_SIZE=128 -DGGML_USE_CUBLAS
#cgo linux LDFLAGS: -L/usr/local/cuda/targets/x86_64-linux/lib -L/usr/local/cuda/lib64 -L/usr/local/cuda/targets/x86_64-linux/lib/stubs
#cgo linux LDFLAGS: ${SRCDIR}/llama.cpp/gguf/build/linux/cpu/lib/libext_server.a
#cgo linux LDFLAGS: ${SRCDIR}/llama.cpp/gguf/build/linux/cpu/lib/libcommon.a
#cgo linux LDFLAGS: ${SRCDIR}/llama.cpp/gguf/build/linux/cpu/lib/libllama.a
#cgo linux LDFLAGS: ${SRCDIR}/llama.cpp/gguf/build/linux/cpu/lib/libggml_static.a
#cgo linux LDFLAGS: -lrt -ldl -lstdc++ -lm
#cgo linux windows LDFLAGS: -lpthread
#include <stdlib.h>
#include "ext_server.h"
#include "dyn_ext_server.h"
*/
import "C"
import (
"bytes"
"context"
"encoding/json"
"fmt"
"log"
"log/slog"
"os"
"path/filepath"
"runtime"
"strings"
"sync"
"time"
"unsafe"
"github.com/jmorganca/ollama/api"
"github.com/jmorganca/ollama/gpu"
)
type extServer interface {
LLM
llama_server_init(sparams *C.ext_server_params_t, err *C.ext_server_resp_t)
llama_server_start()
llama_server_stop()
llama_server_completion(json_req *C.char, resp *C.ext_server_resp_t)
llama_server_completion_next_result(task_id C.int, resp *C.ext_server_task_result_t)
llama_server_completion_cancel(task_id C.int, err *C.ext_server_resp_t)
llama_server_release_task_result(result *C.ext_server_task_result_t)
llama_server_tokenize(json_req *C.char, json_resp **C.char, err *C.ext_server_resp_t)
llama_server_detokenize(json_req *C.char, json_resp **C.char, err *C.ext_server_resp_t)
llama_server_embedding(json_req *C.char, json_resp **C.char, err *C.ext_server_resp_t)
llama_server_release_json_resp(json_resp **C.char)
type dynExtServer struct {
s C.struct_dynamic_llama_server
options api.Options
}
// Note: current implementation does not support concurrent instantiations
@@ -82,25 +64,39 @@ func extServerResponseToErr(resp C.ext_server_resp_t) error {
return fmt.Errorf(C.GoString(resp.msg))
}
func newExtServer(server extServer, model string, adapters, projectors []string, numLayers int64, opts api.Options) (extServer, error) {
// Note: current implementation does not support concurrent instantiations
var llm *dynExtServer
func newDynExtServer(library, model string, adapters, projectors []string, opts api.Options) (LLM, error) {
if !mutex.TryLock() {
log.Printf("concurrent llm servers not yet supported, waiting for prior server to complete")
slog.Info("concurrent llm servers not yet supported, waiting for prior server to complete")
mutex.Lock()
}
fileInfo, err := os.Stat(model)
if err != nil {
return nil, err
updatePath(filepath.Dir(library))
libPath := C.CString(library)
defer C.free(unsafe.Pointer(libPath))
resp := newExtServerResp(512)
defer freeExtServerResp(resp)
var srv C.struct_dynamic_llama_server
C.dyn_init(libPath, &srv, &resp)
if resp.id < 0 {
mutex.Unlock()
return nil, fmt.Errorf("Unable to load dynamic library: %s", C.GoString(resp.msg))
}
llm = &dynExtServer{
s: srv,
options: opts,
}
slog.Info(fmt.Sprintf("Loading Dynamic llm server: %s", library))
var sparams C.ext_server_params_t
sparams.model = C.CString(model)
defer C.free(unsafe.Pointer(sparams.model))
numGPU := gpu.NumGPU(numLayers, fileInfo.Size(), opts)
sparams.embedding = true
sparams.n_ctx = C.uint(opts.NumCtx)
sparams.n_batch = C.uint(opts.NumBatch)
sparams.n_gpu_layers = C.int(numGPU)
sparams.n_gpu_layers = C.int(opts.NumGPU)
sparams.main_gpu = C.int(opts.MainGPU)
sparams.n_parallel = 1 // TODO - wire up concurrency
@@ -140,29 +136,35 @@ func newExtServer(server extServer, model string, adapters, projectors []string,
sparams.n_threads = C.uint(opts.NumThread)
log.Printf("Initializing internal llama server")
resp := newExtServerResp(128)
defer freeExtServerResp(resp)
server.llama_server_init(&sparams, &resp)
if resp.id < 0 {
return nil, extServerResponseToErr(resp)
if debug := os.Getenv("OLLAMA_DEBUG"); debug != "" {
sparams.verbose_logging = C.bool(true)
} else {
sparams.verbose_logging = C.bool(false)
}
log.Printf("Starting internal llama main loop")
server.llama_server_start()
return server, nil
slog.Info("Initializing llama server")
initResp := newExtServerResp(128)
defer freeExtServerResp(initResp)
C.dyn_llama_server_init(llm.s, &sparams, &initResp)
if initResp.id < 0 {
mutex.Unlock()
err := extServerResponseToErr(initResp)
slog.Debug(fmt.Sprintf("failure during initialization: %s", err))
return nil, err
}
slog.Info("Starting llama main loop")
C.dyn_llama_server_start(llm.s)
return llm, nil
}
func predict(ctx context.Context, llm extServer, predict PredictOpts, fn func(PredictResult)) error {
func (llm *dynExtServer) Predict(ctx context.Context, predict PredictOpts, fn func(PredictResult)) error {
resp := newExtServerResp(128)
defer freeExtServerResp(resp)
var imageData []ImageData
if len(predict.Images) > 0 {
for cnt, i := range predict.Images {
imageData = append(imageData, ImageData{Data: i, ID: cnt})
}
slog.Info(fmt.Sprintf("loaded %d images", len(predict.Images)))
}
log.Printf("loaded %d images", len(imageData))
request := map[string]any{
"prompt": predict.Prompt,
@@ -184,7 +186,7 @@ func predict(ctx context.Context, llm extServer, predict PredictOpts, fn func(Pr
"penalize_nl": predict.Options.PenalizeNewline,
"seed": predict.Options.Seed,
"stop": predict.Options.Stop,
"image_data": imageData,
"image_data": predict.Images,
"cache_prompt": true,
}
@@ -211,7 +213,7 @@ func predict(ctx context.Context, llm extServer, predict PredictOpts, fn func(Pr
req := C.CString(buffer.String())
defer C.free(unsafe.Pointer(req))
llm.llama_server_completion(req, &resp)
C.dyn_llama_server_completion(llm.s, req, &resp)
if resp.id < 0 {
return extServerResponseToErr(resp)
}
@@ -222,7 +224,7 @@ func predict(ctx context.Context, llm extServer, predict PredictOpts, fn func(Pr
select {
case <-ctx.Done():
// This handles the request cancellation
llm.llama_server_completion_cancel(resp.id, &resp)
C.dyn_llama_server_completion_cancel(llm.s, resp.id, &resp)
if resp.id < 0 {
return extServerResponseToErr(resp)
} else {
@@ -230,13 +232,13 @@ func predict(ctx context.Context, llm extServer, predict PredictOpts, fn func(Pr
}
default:
var result C.ext_server_task_result_t
llm.llama_server_completion_next_result(resp.id, &result)
C.dyn_llama_server_completion_next_result(llm.s, resp.id, &result)
json_resp := C.GoString(result.json_resp)
llm.llama_server_release_task_result(&result)
C.dyn_llama_server_release_task_result(llm.s, &result)
var p prediction
if err := json.Unmarshal([]byte(json_resp), &p); err != nil {
llm.llama_server_completion_cancel(resp.id, &resp)
C.dyn_llama_server_completion_cancel(llm.s, resp.id, &resp)
if resp.id < 0 {
return fmt.Errorf("error unmarshaling llm prediction response: %w and cancel %s", err, C.GoString(resp.msg))
} else {
@@ -277,7 +279,7 @@ func predict(ctx context.Context, llm extServer, predict PredictOpts, fn func(Pr
return fmt.Errorf("max retries exceeded")
}
func encode(llm extServer, ctx context.Context, prompt string) ([]int, error) {
func (llm *dynExtServer) Encode(ctx context.Context, prompt string) ([]int, error) {
data, err := json.Marshal(TokenizeRequest{Content: prompt})
if err != nil {
return nil, fmt.Errorf("marshaling encode data: %w", err)
@@ -287,11 +289,11 @@ func encode(llm extServer, ctx context.Context, prompt string) ([]int, error) {
var json_resp *C.char
resp := newExtServerResp(128)
defer freeExtServerResp(resp)
llm.llama_server_tokenize(req, &json_resp, &resp)
C.dyn_llama_server_tokenize(llm.s, req, &json_resp, &resp)
if resp.id < 0 {
return nil, extServerResponseToErr(resp)
}
defer llm.llama_server_release_json_resp(&json_resp)
defer C.dyn_llama_server_release_json_resp(llm.s, &json_resp)
var encoded TokenizeResponse
if err2 := json.Unmarshal([]byte(C.GoString(json_resp)), &encoded); err2 != nil {
@@ -301,7 +303,7 @@ func encode(llm extServer, ctx context.Context, prompt string) ([]int, error) {
return encoded.Tokens, err
}
func decode(llm extServer, ctx context.Context, tokens []int) (string, error) {
func (llm *dynExtServer) Decode(ctx context.Context, tokens []int) (string, error) {
if len(tokens) == 0 {
return "", nil
}
@@ -315,11 +317,11 @@ func decode(llm extServer, ctx context.Context, tokens []int) (string, error) {
var json_resp *C.char
resp := newExtServerResp(128)
defer freeExtServerResp(resp)
llm.llama_server_detokenize(req, &json_resp, &resp)
C.dyn_llama_server_detokenize(llm.s, req, &json_resp, &resp)
if resp.id < 0 {
return "", extServerResponseToErr(resp)
}
defer llm.llama_server_release_json_resp(&json_resp)
defer C.dyn_llama_server_release_json_resp(llm.s, &json_resp)
var decoded DetokenizeResponse
if err2 := json.Unmarshal([]byte(C.GoString(json_resp)), &decoded); err2 != nil {
@@ -329,7 +331,7 @@ func decode(llm extServer, ctx context.Context, tokens []int) (string, error) {
return decoded.Content, err
}
func embedding(llm extServer, ctx context.Context, input string) ([]float64, error) {
func (llm *dynExtServer) Embedding(ctx context.Context, input string) ([]float64, error) {
data, err := json.Marshal(TokenizeRequest{Content: input})
if err != nil {
return nil, fmt.Errorf("error marshaling embed data: %w", err)
@@ -340,11 +342,11 @@ func embedding(llm extServer, ctx context.Context, input string) ([]float64, err
var json_resp *C.char
resp := newExtServerResp(128)
defer freeExtServerResp(resp)
llm.llama_server_embedding(req, &json_resp, &resp)
C.dyn_llama_server_embedding(llm.s, req, &json_resp, &resp)
if resp.id < 0 {
return nil, extServerResponseToErr(resp)
}
defer llm.llama_server_release_json_resp(&json_resp)
defer C.dyn_llama_server_release_json_resp(llm.s, &json_resp)
var embedding EmbeddingResponse
if err := json.Unmarshal([]byte(C.GoString(json_resp)), &embedding); err != nil {
@@ -354,7 +356,29 @@ func embedding(llm extServer, ctx context.Context, input string) ([]float64, err
return embedding.Embedding, nil
}
func close(llm extServer) {
llm.llama_server_stop()
func (llm *dynExtServer) Close() {
C.dyn_llama_server_stop(llm.s)
mutex.Unlock()
}
func updatePath(dir string) {
if runtime.GOOS == "windows" {
tmpDir := filepath.Dir(dir)
pathComponents := strings.Split(os.Getenv("PATH"), ";")
i := 0
for _, comp := range pathComponents {
if strings.EqualFold(comp, dir) {
return
}
// Remove any other prior paths to our temp dir
if !strings.HasPrefix(strings.ToLower(comp), strings.ToLower(tmpDir)) {
pathComponents[i] = comp
i++
}
}
newPath := strings.Join(append([]string{dir}, pathComponents...), ";")
slog.Info(fmt.Sprintf("Updating PATH to %s", newPath))
os.Setenv("PATH", newPath)
}
// linux and darwin rely on rpath
}

View File

@@ -27,46 +27,46 @@ struct dynamic_llama_server {
void (*llama_server_release_json_resp)(char **json_resp);
};
void dynamic_shim_init(const char *libPath, struct dynamic_llama_server *s,
void dyn_init(const char *libPath, struct dynamic_llama_server *s,
ext_server_resp_t *err);
// No good way to call C function pointers from Go so inline the indirection
void dynamic_shim_llama_server_init(struct dynamic_llama_server s,
void dyn_llama_server_init(struct dynamic_llama_server s,
ext_server_params_t *sparams,
ext_server_resp_t *err);
void dynamic_shim_llama_server_start(struct dynamic_llama_server s);
void dyn_llama_server_start(struct dynamic_llama_server s);
void dynamic_shim_llama_server_stop(struct dynamic_llama_server s);
void dyn_llama_server_stop(struct dynamic_llama_server s);
void dynamic_shim_llama_server_completion(struct dynamic_llama_server s,
void dyn_llama_server_completion(struct dynamic_llama_server s,
const char *json_req,
ext_server_resp_t *resp);
void dynamic_shim_llama_server_completion_next_result(
void dyn_llama_server_completion_next_result(
struct dynamic_llama_server s, const int task_id,
ext_server_task_result_t *result);
void dynamic_shim_llama_server_completion_cancel(struct dynamic_llama_server s,
void dyn_llama_server_completion_cancel(struct dynamic_llama_server s,
const int task_id,
ext_server_resp_t *err);
void dynamic_shim_llama_server_release_task_result(
void dyn_llama_server_release_task_result(
struct dynamic_llama_server s, ext_server_task_result_t *result);
void dynamic_shim_llama_server_tokenize(struct dynamic_llama_server s,
void dyn_llama_server_tokenize(struct dynamic_llama_server s,
const char *json_req, char **json_resp,
ext_server_resp_t *err);
void dynamic_shim_llama_server_detokenize(struct dynamic_llama_server s,
void dyn_llama_server_detokenize(struct dynamic_llama_server s,
const char *json_req,
char **json_resp,
ext_server_resp_t *err);
void dynamic_shim_llama_server_embedding(struct dynamic_llama_server s,
void dyn_llama_server_embedding(struct dynamic_llama_server s,
const char *json_req, char **json_resp,
ext_server_resp_t *err);
void dynamic_shim_llama_server_release_json_resp(struct dynamic_llama_server s,
void dyn_llama_server_release_json_resp(struct dynamic_llama_server s,
char **json_resp);
#ifdef __cplusplus

View File

@@ -0,0 +1,25 @@
# Ollama specific CMakefile to include in llama.cpp/examples/server
set(TARGET ext_server)
option(LLAMA_SERVER_VERBOSE "Build verbose logging option for Server" ON)
if (WIN32)
add_library(${TARGET} SHARED ../../../ext_server/ext_server.cpp ../../llama.cpp)
else()
add_library(${TARGET} STATIC ../../../ext_server/ext_server.cpp ../../llama.cpp)
endif()
target_include_directories(${TARGET} PRIVATE ../../common)
target_include_directories(${TARGET} PRIVATE ../..)
target_include_directories(${TARGET} PRIVATE ../../..)
target_compile_features(${TARGET} PRIVATE cxx_std_11)
target_compile_definitions(${TARGET} PUBLIC LLAMA_SERVER_LIBRARY=1)
target_link_libraries(${TARGET} PRIVATE ggml llava common )
set_target_properties(${TARGET} PROPERTIES POSITION_INDEPENDENT_CODE ON)
target_compile_definitions(${TARGET} PRIVATE SERVER_VERBOSE=$<BOOL:${LLAMA_SERVER_VERBOSE}>)
install(TARGETS ext_server LIBRARY)
if (CUDAToolkit_FOUND)
target_include_directories(${TARGET} PRIVATE ${CMAKE_CUDA_TOOLKIT_INCLUDE_DIRECTORIES})
if (WIN32)
target_link_libraries(${TARGET} PRIVATE nvml)
endif()
endif()

18
llm/ext_server/README.md Normal file
View File

@@ -0,0 +1,18 @@
# Extern C Server
This directory contains a thin facade we layer on top of the Llama.cpp server to
expose `extern C` interfaces to access the functionality through direct API
calls in-process. The llama.cpp code uses compile time macros to configure GPU
type along with other settings. During the `go generate ./...` execution, the
build will generate one or more copies of the llama.cpp `extern C` server based
on what GPU libraries are detected to support multiple GPU types as well as CPU
only support. The Ollama go build then embeds these different servers to support
different GPUs and settings at runtime.
If you are making changes to the code in this directory, make sure to disable
caching during your go build to ensure you pick up your changes. A typical
iteration cycle from the top of the source tree looks like:
```
go generate ./... && go build -a .
```

View File

@@ -3,21 +3,44 @@
// Necessary evil since the server types are not defined in a header
#include "server.cpp"
// Low level API access to verify GPU access
#if defined(GGML_USE_CUBLAS)
#if defined(GGML_USE_HIPBLAS)
#include <hip/hip_runtime.h>
#include <hipblas/hipblas.h>
#include <hip/hip_fp16.h>
#ifdef __HIP_PLATFORM_AMD__
// for rocblas_initialize()
#include "rocblas/rocblas.h"
#endif // __HIP_PLATFORM_AMD__
#define cudaGetDevice hipGetDevice
#define cudaError_t hipError_t
#define cudaSuccess hipSuccess
#define cudaGetErrorString hipGetErrorString
#else
#include <cuda_runtime.h>
#include <cublas_v2.h>
#include <cuda_fp16.h>
#endif // defined(GGML_USE_HIPBLAS)
#endif // GGML_USE_CUBLAS
// Expose the llama server as a callable extern "C" API
llama_server_context *llama = NULL;
std::atomic<bool> ext_server_running(false);
std::thread ext_server_thread;
void llama_server_init(ext_server_params *sparams, ext_server_resp_t *err) {
#if SERVER_VERBOSE != 1
log_disable();
#endif
assert(err != NULL && sparams != NULL);
log_set_target(stderr);
if (!sparams->verbose_logging) {
server_verbose = true;
log_disable();
}
LOG_TEE("system info: %s\n", llama_print_system_info());
err->id = 0;
err->msg[0] = '\0';
try {
llama = new llama_server_context;
log_set_target(stdout);
gpt_params params;
params.n_ctx = sparams->n_ctx;
params.n_batch = sparams->n_batch;
@@ -46,15 +69,31 @@ void llama_server_init(ext_server_params *sparams, ext_server_resp_t *err) {
params.model = sparams->model;
}
for (ext_server_lora_adapter *la = sparams->lora_adapters; la != NULL;
la = la->next) {
params.lora_adapter.push_back(std::make_tuple(la->adapter, la->scale));
if (sparams->lora_adapters != NULL) {
for (ext_server_lora_adapter *la = sparams->lora_adapters; la != NULL;
la = la->next) {
params.lora_adapter.push_back(std::make_tuple(la->adapter, la->scale));
}
params.use_mmap = false;
}
if (sparams->mmproj != NULL) {
params.mmproj = std::string(sparams->mmproj);
}
#if defined(GGML_USE_CUBLAS)
// Before attempting to init the backend which will assert on error, verify the CUDA/ROCM GPU is accessible
LOG_TEE("Performing pre-initialization of GPU\n");
int id;
cudaError_t cudaErr = cudaGetDevice(&id);
if (cudaErr != cudaSuccess) {
err->id = -1;
snprintf(err->msg, err->msg_len, "Unable to init GPU: %s", cudaGetErrorString(cudaErr));
return;
}
#endif
llama_backend_init(params.numa);
// load the model
@@ -83,18 +122,23 @@ void llama_server_start() {
assert(llama != NULL);
// TODO mutex to protect thread creation
ext_server_thread = std::thread([&]() {
ext_server_running = true;
try {
LOG_TEE("llama server main loop starting\n");
ggml_time_init();
while (ext_server_running.load()) {
if (!llama->update_slots()) {
LOG_TEE(
"unexpected error in llama server update_slots - exiting main "
"loop\n");
break;
}
}
llama->queue_tasks.on_new_task(std::bind(
&llama_server_context::process_single_task, llama, std::placeholders::_1));
llama->queue_tasks.on_finish_multitask(std::bind(
&llama_server_context::on_finish_multitask, llama, std::placeholders::_1));
llama->queue_tasks.on_all_tasks_finished(std::bind(
&llama_server_context::run_on_all_tasks_finished, llama));
llama->queue_results.on_multitask_update(std::bind(
&llama_server_queue::update_multitask,
&llama->queue_tasks,
std::placeholders::_1,
std::placeholders::_2,
std::placeholders::_3
));
llama->queue_tasks.start_loop();
} catch (std::exception &e) {
LOG_TEE("caught exception in llama server main loop: %s\n", e.what());
} catch (...) {
@@ -107,9 +151,10 @@ void llama_server_start() {
void llama_server_stop() {
assert(llama != NULL);
// TODO - too verbose, remove once things are solid
LOG_TEE("requesting llama server shutdown\n");
ext_server_running = false;
LOG_TEE("\ninitiating shutdown - draining remaining tasks...\n");
// This may take a while for any pending tasks to drain
// TODO - consider a timeout to cancel tasks if it's taking too long
llama->queue_tasks.terminate();
ext_server_thread.join();
delete llama;
llama = NULL;
@@ -122,7 +167,9 @@ void llama_server_completion(const char *json_req, ext_server_resp_t *resp) {
resp->msg[0] = '\0';
try {
json data = json::parse(json_req);
resp->id = llama->request_completion(data, false, false, -1);
resp->id = llama->queue_tasks.get_new_id();
llama->queue_results.add_waiting_task_id(resp->id);
llama->request_completion(resp->id, data, false, false, -1);
} catch (std::exception &e) {
snprintf(resp->msg, resp->msg_len, "exception %s", e.what());
} catch (...) {
@@ -140,16 +187,22 @@ void llama_server_completion_next_result(const int task_id,
resp->json_resp = NULL;
std::string result_json;
try {
task_result result = llama->next_result(task_id);
task_result result = llama->queue_results.recv(task_id);
result_json =
result.result_json.dump(-1, ' ', false, json::error_handler_t::replace);
resp->id = result.id;
resp->stop = result.stop;
resp->error = result.error;
if (result.error) {
LOG_TEE("next result cancel on error\n");
llama->request_cancel(task_id);
LOG_TEE("next result removing waiting tak ID: %d\n", task_id);
llama->queue_results.remove_waiting_task_id(task_id);
} else if (result.stop) {
LOG_TEE("next result cancel on stop\n");
llama->request_cancel(task_id);
LOG_TEE("next result removing waiting task ID: %d\n", task_id);
llama->queue_results.remove_waiting_task_id(task_id);
}
} catch (std::exception &e) {
resp->error = true;
@@ -180,6 +233,7 @@ void llama_server_completion_cancel(const int task_id, ext_server_resp_t *err) {
err->msg[0] = '\0';
try {
llama->request_cancel(task_id);
llama->queue_results.remove_waiting_task_id(task_id);
} catch (std::exception &e) {
err->id = -1;
snprintf(err->msg, err->msg_len, "exception %s", e.what());
@@ -264,13 +318,15 @@ void llama_server_embedding(const char *json_req, char **json_resp,
} else {
prompt = "";
}
const int task_id = llama->request_completion(
{{"prompt", prompt}, {"n_predict", 0}}, false, true, -1);
task_result result = llama->next_result(task_id);
const int task_id = llama->queue_tasks.get_new_id();
llama->queue_results.add_waiting_task_id(task_id);
llama->request_completion(task_id, {{"prompt", prompt}, {"n_predict", 0}}, false, true, -1);
task_result result = llama->queue_results.recv(task_id);
std::string result_json = result.result_json.dump();
const std::string::size_type size = result_json.size() + 1;
*json_resp = new char[size];
snprintf(*json_resp, size, "%s", result_json.c_str());
llama->queue_results.remove_waiting_task_id(task_id);
} catch (std::exception &e) {
err->id = -1;
snprintf(err->msg, err->msg_len, "exception %s", e.what());

View File

@@ -45,6 +45,7 @@ typedef struct ext_server_params {
bool embedding; // get only sentence embedding
ext_server_lora_adapter_t *lora_adapters;
char *mmproj;
bool verbose_logging; // Enable verbose logging of the server
} ext_server_params_t;
typedef struct ext_server_task_result {

View File

@@ -1,80 +0,0 @@
//go:build !windows
package llm
/*
#include <stdlib.h>
#include "ext_server.h"
*/
import "C"
import (
"context"
"github.com/jmorganca/ollama/api"
)
type llamaExtServer struct {
api.Options
}
func (llm *llamaExtServer) llama_server_init(sparams *C.ext_server_params_t, err *C.ext_server_resp_t) {
C.llama_server_init(sparams, err)
}
func (llm *llamaExtServer) llama_server_start() {
C.llama_server_start()
}
func (llm *llamaExtServer) llama_server_stop() {
C.llama_server_stop()
}
func (llm *llamaExtServer) llama_server_completion(json_req *C.char, resp *C.ext_server_resp_t) {
C.llama_server_completion(json_req, resp)
}
func (llm *llamaExtServer) llama_server_completion_next_result(task_id C.int, resp *C.ext_server_task_result_t) {
C.llama_server_completion_next_result(task_id, resp)
}
func (llm *llamaExtServer) llama_server_completion_cancel(task_id C.int, err *C.ext_server_resp_t) {
C.llama_server_completion_cancel(task_id, err)
}
func (llm *llamaExtServer) llama_server_release_task_result(result *C.ext_server_task_result_t) {
C.llama_server_release_task_result(result)
}
func (llm *llamaExtServer) llama_server_tokenize(json_req *C.char, json_resp **C.char, err *C.ext_server_resp_t) {
C.llama_server_tokenize(json_req, json_resp, err)
}
func (llm *llamaExtServer) llama_server_detokenize(json_req *C.char, json_resp **C.char, err *C.ext_server_resp_t) {
C.llama_server_detokenize(json_req, json_resp, err)
}
func (llm *llamaExtServer) llama_server_embedding(json_req *C.char, json_resp **C.char, err *C.ext_server_resp_t) {
C.llama_server_embedding(json_req, json_resp, err)
}
func (llm *llamaExtServer) llama_server_release_json_resp(json_resp **C.char) {
C.llama_server_release_json_resp(json_resp)
}
func newDefaultExtServer(model string, adapters, projectors []string, numLayers int64, opts api.Options) (extServer, error) {
server := &llamaExtServer{opts}
return newExtServer(server, model, adapters, projectors, numLayers, opts)
}
func (llm *llamaExtServer) Predict(ctx context.Context, pred PredictOpts, fn func(PredictResult)) error {
return predict(ctx, llm, pred, fn)
}
func (llm *llamaExtServer) Encode(ctx context.Context, prompt string) ([]int, error) {
return encode(llm, ctx, prompt)
}
func (llm *llamaExtServer) Decode(ctx context.Context, tokens []int) (string, error) {
return decode(llm, ctx, tokens)
}
func (llm *llamaExtServer) Embedding(ctx context.Context, input string) ([]float64, error) {
return embedding(llm, ctx, input)
}
func (llm *llamaExtServer) Close() {
close(llm)
}

View File

@@ -1,12 +0,0 @@
package llm
import (
"github.com/jmorganca/ollama/api"
)
func newDefaultExtServer(model string, adapters, projectors []string, numLayers int64, opts api.Options) (extServer, error) {
// On windows we always load the llama.cpp libraries dynamically to avoid startup DLL dependencies
// This ensures we can update the PATH at runtime to get everything loaded
return newDynamicShimExtServer(AvailableShims["cpu"], model, adapters, projectors, numLayers, opts)
}

125
llm/generate/gen_common.sh Normal file
View File

@@ -0,0 +1,125 @@
# common logic accross linux and darwin
init_vars() {
case "${GOARCH}" in
"amd64")
ARCH="x86_64"
;;
"arm64")
ARCH="arm64"
;;
*)
ARCH=$(uname -m | sed -e "s/aarch64/arm64/g")
esac
LLAMACPP_DIR=../llama.cpp
CMAKE_DEFS=""
CMAKE_TARGETS="--target ext_server"
if echo "${CGO_CFLAGS}" | grep -- '-g' >/dev/null; then
CMAKE_DEFS="-DCMAKE_BUILD_TYPE=RelWithDebInfo -DCMAKE_VERBOSE_MAKEFILE=on -DLLAMA_GPROF=on -DLLAMA_SERVER_VERBOSE=on ${CMAKE_DEFS}"
else
# TODO - add additional optimization flags...
CMAKE_DEFS="-DCMAKE_BUILD_TYPE=Release -DLLAMA_SERVER_VERBOSE=off ${CMAKE_DEFS}"
fi
case $(uname -s) in
"Darwin")
LIB_EXT="dylib"
WHOLE_ARCHIVE="-Wl,-force_load"
NO_WHOLE_ARCHIVE=""
GCC_ARCH="-arch ${ARCH}"
;;
"Linux")
LIB_EXT="so"
WHOLE_ARCHIVE="-Wl,--whole-archive"
NO_WHOLE_ARCHIVE="-Wl,--no-whole-archive"
# Cross compiling not supported on linux - Use docker
GCC_ARCH=""
;;
*)
;;
esac
if [ -z "${CMAKE_CUDA_ARCHITECTURES}" ] ; then
CMAKE_CUDA_ARCHITECTURES="50;52;61;70;75;80"
fi
}
git_module_setup() {
if [ -n "${OLLAMA_SKIP_PATCHING}" ]; then
echo "Skipping submodule initialization"
return
fi
# Make sure the tree is clean after the directory moves
if [ -d "${LLAMACPP_DIR}/gguf" ]; then
echo "Cleaning up old submodule"
rm -rf ${LLAMACPP_DIR}
fi
git submodule init
git submodule update --force ${LLAMACPP_DIR}
}
apply_patches() {
# Wire up our CMakefile
if ! grep ollama ${LLAMACPP_DIR}/examples/server/CMakeLists.txt; then
echo 'include (../../../ext_server/CMakeLists.txt) # ollama' >>${LLAMACPP_DIR}/examples/server/CMakeLists.txt
fi
if [ -n "$(ls -A ../patches/*.diff)" ]; then
# apply temporary patches until fix is upstream
for patch in ../patches/*.diff; do
for file in $(grep "^+++ " ${patch} | cut -f2 -d' ' | cut -f2- -d/); do
(cd ${LLAMACPP_DIR}; git checkout ${file})
done
done
for patch in ../patches/*.diff; do
(cd ${LLAMACPP_DIR} && git apply ${patch})
done
fi
# Avoid duplicate main symbols when we link into the cgo binary
sed -e 's/int main(/int __main(/g' <${LLAMACPP_DIR}/examples/server/server.cpp >${LLAMACPP_DIR}/examples/server/server.cpp.tmp &&
mv ${LLAMACPP_DIR}/examples/server/server.cpp.tmp ${LLAMACPP_DIR}/examples/server/server.cpp
}
build() {
cmake -S ${LLAMACPP_DIR} -B ${BUILD_DIR} ${CMAKE_DEFS}
cmake --build ${BUILD_DIR} ${CMAKE_TARGETS} -j8
mkdir -p ${BUILD_DIR}/lib/
g++ -fPIC -g -shared -o ${BUILD_DIR}/lib/libext_server.${LIB_EXT} \
${GCC_ARCH} \
${WHOLE_ARCHIVE} ${BUILD_DIR}/examples/server/libext_server.a ${NO_WHOLE_ARCHIVE} \
${BUILD_DIR}/common/libcommon.a \
${BUILD_DIR}/libllama.a \
-Wl,-rpath,\$ORIGIN \
-lpthread -ldl -lm \
${EXTRA_LIBS}
}
compress_libs() {
echo "Compressing payloads to reduce overall binary size..."
pids=""
rm -rf ${BUILD_DIR}/lib/*.${LIB_EXT}*.gz
for lib in ${BUILD_DIR}/lib/*.${LIB_EXT}* ; do
gzip --best -f ${lib} &
pids+=" $!"
done
echo
for pid in ${pids}; do
wait $pid
done
echo "Finished compression"
}
# Keep the local tree clean after we're done with the build
cleanup() {
(cd ${LLAMACPP_DIR}/examples/server/ && git checkout CMakeLists.txt server.cpp)
if [ -n "$(ls -A ../patches/*.diff)" ]; then
for patch in ../patches/*.diff; do
for file in $(grep "^+++ " ${patch} | cut -f2 -d' ' | cut -f2- -d/); do
(cd ${LLAMACPP_DIR}; git checkout ${file})
done
done
fi
}

77
llm/generate/gen_darwin.sh Executable file
View File

@@ -0,0 +1,77 @@
#!/bin/bash
# This script is intended to run inside the go generate
# working directory must be ./llm/generate/
# TODO - add hardening to detect missing tools (cmake, etc.)
set -ex
set -o pipefail
echo "Starting darwin generate script"
source $(dirname $0)/gen_common.sh
init_vars
git_module_setup
apply_patches
sign() {
if [ -n "$APPLE_IDENTITY" ]; then
codesign -f --timestamp --deep --options=runtime --sign "$APPLE_IDENTITY" --identifier ai.ollama.ollama $1
fi
}
COMMON_DARWIN_DEFS="-DCMAKE_OSX_DEPLOYMENT_TARGET=11.0 -DCMAKE_SYSTEM_NAME=Darwin"
case "${GOARCH}" in
"amd64")
COMMON_CPU_DEFS="${COMMON_DARWIN_DEFS} -DCMAKE_SYSTEM_PROCESSOR=${ARCH} -DCMAKE_OSX_ARCHITECTURES=${ARCH} -DLLAMA_METAL=off -DLLAMA_NATIVE=off"
#
# CPU first for the default library, set up as lowest common denominator for maximum compatibility (including Rosetta)
#
CMAKE_DEFS="${COMMON_CPU_DEFS} -DLLAMA_ACCELERATE=off -DLLAMA_AVX=off -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_FMA=off -DLLAMA_F16C=off ${CMAKE_DEFS}"
BUILD_DIR="${LLAMACPP_DIR}/build/darwin/${ARCH}/cpu"
echo "Building LCD CPU"
build
sign ${LLAMACPP_DIR}/build/darwin/${ARCH}/cpu/lib/libext_server.dylib
compress_libs
#
# ~2011 CPU Dynamic library with more capabilities turned on to optimize performance
# Approximately 400% faster than LCD on same CPU
#
init_vars
CMAKE_DEFS="${COMMON_CPU_DEFS} -DLLAMA_ACCELERATE=off -DLLAMA_AVX=on -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_FMA=off -DLLAMA_F16C=off ${CMAKE_DEFS}"
BUILD_DIR="${LLAMACPP_DIR}/build/darwin/${ARCH}/cpu_avx"
echo "Building AVX CPU"
build
sign ${LLAMACPP_DIR}/build/darwin/${ARCH}/cpu_avx/lib/libext_server.dylib
compress_libs
#
# ~2013 CPU Dynamic library
# Approximately 10% faster than AVX on same CPU
#
init_vars
CMAKE_DEFS="${COMMON_CPU_DEFS} -DLLAMA_ACCELERATE=on -DLLAMA_AVX=on -DLLAMA_AVX2=on -DLLAMA_AVX512=off -DLLAMA_FMA=on -DLLAMA_F16C=on ${CMAKE_DEFS}"
BUILD_DIR="${LLAMACPP_DIR}/build/darwin/${ARCH}/cpu_avx2"
echo "Building AVX2 CPU"
EXTRA_LIBS="${EXTRA_LIBS} -framework Accelerate -framework Foundation"
build
sign ${LLAMACPP_DIR}/build/darwin/${ARCH}/cpu_avx2/lib/libext_server.dylib
compress_libs
;;
"arm64")
CMAKE_DEFS="${COMMON_DARWIN_DEFS} -DLLAMA_ACCELERATE=on -DCMAKE_SYSTEM_PROCESSOR=${ARCH} -DCMAKE_OSX_ARCHITECTURES=${ARCH} -DLLAMA_METAL=on ${CMAKE_DEFS}"
BUILD_DIR="${LLAMACPP_DIR}/build/darwin/${ARCH}/metal"
EXTRA_LIBS="${EXTRA_LIBS} -framework Accelerate -framework Foundation -framework Metal -framework MetalKit -framework MetalPerformanceShaders"
build
sign ${LLAMACPP_DIR}/build/darwin/${ARCH}/metal/lib/libext_server.dylib
compress_libs
;;
*)
echo "GOARCH must be set"
echo "this script is meant to be run from within go generate"
exit 1
;;
esac
cleanup

190
llm/generate/gen_linux.sh Executable file
View File

@@ -0,0 +1,190 @@
#!/bin/bash
# This script is intended to run inside the go generate
# working directory must be llm/generate/
# First we build one or more CPU based LLM libraries
#
# Then if we detect CUDA, we build a CUDA dynamic library, and carry the required
# library dependencies
#
# Then if we detect ROCm, we build a dynamically loaded ROCm lib. The ROCM
# libraries are quite large, and also dynamically load data files at runtime
# which in turn are large, so we don't attempt to cary them as payload
set -ex
set -o pipefail
# See https://llvm.org/docs/AMDGPUUsage.html#processors for reference
amdGPUs() {
if [ -n "${AMDGPU_TARGETS}" ]; then
echo "${AMDGPU_TARGETS}"
return
fi
GPU_LIST=(
"gfx803"
"gfx900"
"gfx906:xnack-"
"gfx908:xnack-"
"gfx90a:xnack+"
"gfx90a:xnack-"
"gfx1010"
"gfx1012"
"gfx1030"
"gfx1100"
"gfx1101"
"gfx1102"
)
(
IFS=$';'
echo "'${GPU_LIST[*]}'"
)
}
echo "Starting linux generate script"
if [ -z "${CUDACXX}" ]; then
if [ -x /usr/local/cuda/bin/nvcc ]; then
export CUDACXX=/usr/local/cuda/bin/nvcc
else
# Try the default location in case it exists
export CUDACXX=$(command -v nvcc)
fi
fi
COMMON_CMAKE_DEFS="-DCMAKE_POSITION_INDEPENDENT_CODE=on -DLLAMA_NATIVE=off -DLLAMA_AVX=on -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_FMA=off -DLLAMA_F16C=off"
source $(dirname $0)/gen_common.sh
init_vars
git_module_setup
apply_patches
if [ -z "${OLLAMA_SKIP_CPU_GENERATE}" ]; then
# Users building from source can tune the exact flags we pass to cmake for configuring
# llama.cpp, and we'll build only 1 CPU variant in that case as the default.
if [ -n "${OLLAMA_CUSTOM_CPU_DEFS}" ]; then
echo "OLLAMA_CUSTOM_CPU_DEFS=\"${OLLAMA_CUSTOM_CPU_DEFS}\""
CMAKE_DEFS="${OLLAMA_CUSTOM_CPU_DEFS} -DCMAKE_POSITION_INDEPENDENT_CODE=on ${CMAKE_DEFS}"
BUILD_DIR="${LLAMACPP_DIR}/build/linux/${ARCH}/cpu"
echo "Building custom CPU"
build
compress_libs
else
# Darwin Rosetta x86 emulation does NOT support AVX, AVX2, AVX512
# -DLLAMA_AVX -- 2011 Intel Sandy Bridge & AMD Bulldozer
# -DLLAMA_F16C -- 2012 Intel Ivy Bridge & AMD 2011 Bulldozer (No significant improvement over just AVX)
# -DLLAMA_AVX2 -- 2013 Intel Haswell & 2015 AMD Excavator / 2017 AMD Zen
# -DLLAMA_FMA (FMA3) -- 2013 Intel Haswell & 2012 AMD Piledriver
# Note: the following seem to yield slower results than AVX2 - ymmv
# -DLLAMA_AVX512 -- 2017 Intel Skylake and High End DeskTop (HEDT)
# -DLLAMA_AVX512_VBMI -- 2018 Intel Cannon Lake
# -DLLAMA_AVX512_VNNI -- 2021 Intel Alder Lake
COMMON_CPU_DEFS="-DCMAKE_POSITION_INDEPENDENT_CODE=on -DLLAMA_NATIVE=off"
if [ -z "${OLLAMA_CPU_TARGET}" -o "${OLLAMA_CPU_TARGET}" = "cpu" ]; then
#
# CPU first for the default library, set up as lowest common denominator for maximum compatibility (including Rosetta)
#
CMAKE_DEFS="${COMMON_CPU_DEFS} -DLLAMA_AVX=off -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_FMA=off -DLLAMA_F16C=off ${CMAKE_DEFS}"
BUILD_DIR="${LLAMACPP_DIR}/build/linux/${ARCH}/cpu"
echo "Building LCD CPU"
build
compress_libs
fi
if [ -z "${OLLAMA_CPU_TARGET}" -o "${OLLAMA_CPU_TARGET}" = "cpu_avx" ]; then
#
# ~2011 CPU Dynamic library with more capabilities turned on to optimize performance
# Approximately 400% faster than LCD on same CPU
#
init_vars
CMAKE_DEFS="${COMMON_CPU_DEFS} -DLLAMA_AVX=on -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_FMA=off -DLLAMA_F16C=off ${CMAKE_DEFS}"
BUILD_DIR="${LLAMACPP_DIR}/build/linux/${ARCH}/cpu_avx"
echo "Building AVX CPU"
build
compress_libs
fi
if [ -z "${OLLAMA_CPU_TARGET}" -o "${OLLAMA_CPU_TARGET}" = "cpu_avx2" ]; then
#
# ~2013 CPU Dynamic library
# Approximately 10% faster than AVX on same CPU
#
init_vars
CMAKE_DEFS="${COMMON_CPU_DEFS} -DLLAMA_AVX=on -DLLAMA_AVX2=on -DLLAMA_AVX512=off -DLLAMA_FMA=on -DLLAMA_F16C=on ${CMAKE_DEFS}"
BUILD_DIR="${LLAMACPP_DIR}/build/linux/${ARCH}/cpu_avx2"
echo "Building AVX2 CPU"
build
compress_libs
fi
fi
else
echo "Skipping CPU generation step as requested"
fi
# If needed, look for the default CUDA toolkit location
if [ -z "${CUDA_LIB_DIR}" ] && [ -d /usr/local/cuda/lib64 ]; then
CUDA_LIB_DIR=/usr/local/cuda/lib64
fi
# If needed, look for CUDA on Arch Linux
if [ -z "${CUDA_LIB_DIR}" ] && [ -d /opt/cuda/targets/x86_64-linux/lib ]; then
CUDA_LIB_DIR=/opt/cuda/targets/x86_64-linux/lib
fi
if [ -d "${CUDA_LIB_DIR}" ]; then
echo "CUDA libraries detected - building dynamic CUDA library"
init_vars
CUDA_MAJOR=$(ls "${CUDA_LIB_DIR}"/libcudart.so.* | head -1 | cut -f3 -d. || true)
if [ -n "${CUDA_MAJOR}" ]; then
CUDA_VARIANT=_v${CUDA_MAJOR}
fi
CMAKE_DEFS="-DLLAMA_CUBLAS=on -DLLAMA_CUDA_FORCE_MMQ=on -DCMAKE_CUDA_ARCHITECTURES=${CMAKE_CUDA_ARCHITECTURES} ${COMMON_CMAKE_DEFS} ${CMAKE_DEFS}"
BUILD_DIR="${LLAMACPP_DIR}/build/linux/${ARCH}/cuda${CUDA_VARIANT}"
EXTRA_LIBS="-L${CUDA_LIB_DIR} -lcudart -lcublas -lcublasLt -lcuda"
build
# Cary the CUDA libs as payloads to help reduce dependency burden on users
#
# TODO - in the future we may shift to packaging these separately and conditionally
# downloading them in the install script.
DEPS="$(ldd ${BUILD_DIR}/lib/libext_server.so )"
for lib in libcudart.so libcublas.so libcublasLt.so ; do
DEP=$(echo "${DEPS}" | grep ${lib} | cut -f1 -d' ' | xargs || true)
if [ -n "${DEP}" -a -e "${CUDA_LIB_DIR}/${DEP}" ]; then
cp "${CUDA_LIB_DIR}/${DEP}" "${BUILD_DIR}/lib/"
elif [ -e "${CUDA_LIB_DIR}/${lib}.${CUDA_MAJOR}" ]; then
cp "${CUDA_LIB_DIR}/${lib}.${CUDA_MAJOR}" "${BUILD_DIR}/lib/"
else
cp -d "${CUDA_LIB_DIR}/${lib}*" "${BUILD_DIR}/lib/"
fi
done
compress_libs
fi
if [ -z "${ROCM_PATH}" ]; then
# Try the default location in case it exists
ROCM_PATH=/opt/rocm
fi
if [ -z "${CLBlast_DIR}" ]; then
# Try the default location in case it exists
if [ -d /usr/lib/cmake/CLBlast ]; then
export CLBlast_DIR=/usr/lib/cmake/CLBlast
fi
fi
if [ -d "${ROCM_PATH}" ]; then
echo "ROCm libraries detected - building dynamic ROCm library"
if [ -f ${ROCM_PATH}/lib/librocm_smi64.so.? ]; then
ROCM_VARIANT=_v$(ls ${ROCM_PATH}/lib/librocm_smi64.so.? | cut -f3 -d. || true)
fi
init_vars
CMAKE_DEFS="${COMMON_CMAKE_DEFS} ${CMAKE_DEFS} -DLLAMA_HIPBLAS=on -DCMAKE_C_COMPILER=$ROCM_PATH/llvm/bin/clang -DCMAKE_CXX_COMPILER=$ROCM_PATH/llvm/bin/clang++ -DAMDGPU_TARGETS=$(amdGPUs) -DGPU_TARGETS=$(amdGPUs)"
BUILD_DIR="${LLAMACPP_DIR}/build/linux/${ARCH}/rocm${ROCM_VARIANT}"
EXTRA_LIBS="-L${ROCM_PATH}/lib -L/opt/amdgpu/lib/x86_64-linux-gnu/ -Wl,-rpath,${ROCM_PATH}/lib,-rpath,/opt/amdgpu/lib/x86_64-linux-gnu/ -lhipblas -lrocblas -lamdhip64 -lrocsolver -lamd_comgr -lhsa-runtime64 -lrocsparse -ldrm -ldrm_amdgpu"
build
# Note: the ROCM libs and runtime library files are too large to embed, so we depend on
# them being present at runtime on the host
compress_libs
fi
cleanup

View File

@@ -0,0 +1,175 @@
#!powershell
$ErrorActionPreference = "Stop"
function init_vars {
$script:llamacppDir = "../llama.cpp"
$script:cmakeDefs = @("-DBUILD_SHARED_LIBS=on", "-DLLAMA_NATIVE=off", "-A","x64")
$script:cmakeTargets = @("ext_server")
$script:ARCH = "amd64" # arm not yet supported.
if ($env:CGO_CFLAGS -contains "-g") {
$script:cmakeDefs += @("-DCMAKE_VERBOSE_MAKEFILE=on", "-DLLAMA_SERVER_VERBOSE=on")
$script:config = "RelWithDebInfo"
} else {
$script:cmakeDefs += @("-DLLAMA_SERVER_VERBOSE=off")
$script:config = "Release"
}
# Try to find the CUDA dir
if ($env:CUDA_LIB_DIR -eq $null) {
$d=(get-command -ea 'silentlycontinue' nvcc).path
if ($d -ne $null) {
$script:CUDA_LIB_DIR=($d| split-path -parent)
}
} else {
$script:CUDA_LIB_DIR=$env:CUDA_LIB_DIR
}
$script:GZIP=(get-command -ea 'silentlycontinue' gzip).path
$script:DUMPBIN=(get-command -ea 'silentlycontinue' dumpbin).path
if ($null -eq $env:CMAKE_CUDA_ARCHITECTURES) {
$script:CMAKE_CUDA_ARCHITECTURES="50;52;61;70;75;80"
} else {
$script:CMAKE_CUDA_ARCHITECTURES=$env:CMAKE_CUDA_ARCHITECTURES
}
}
function git_module_setup {
# TODO add flags to skip the init/patch logic to make it easier to mod llama.cpp code in-repo
& git submodule init
if ($LASTEXITCODE -ne 0) { exit($LASTEXITCODE)}
& git submodule update --force "${script:llamacppDir}"
if ($LASTEXITCODE -ne 0) { exit($LASTEXITCODE)}
}
function apply_patches {
# Wire up our CMakefile
if (!(Select-String -Path "${script:llamacppDir}/examples/server/CMakeLists.txt" -Pattern 'ollama')) {
Add-Content -Path "${script:llamacppDir}/examples/server/CMakeLists.txt" -Value 'include (../../../ext_server/CMakeLists.txt) # ollama'
}
# Apply temporary patches until fix is upstream
$patches = Get-ChildItem "../patches/*.diff"
foreach ($patch in $patches) {
# Extract file paths from the patch file
$filePaths = Get-Content $patch.FullName | Where-Object { $_ -match '^\+\+\+ ' } | ForEach-Object {
$parts = $_ -split ' '
($parts[1] -split '/', 2)[1]
}
# Checkout each file
foreach ($file in $filePaths) {
Set-Location -Path ${script:llamacppDir}
git checkout $file
}
}
# Apply each patch
foreach ($patch in $patches) {
Set-Location -Path ${script:llamacppDir}
git apply $patch.FullName
}
# Avoid duplicate main symbols when we link into the cgo binary
$content = Get-Content -Path "${script:llamacppDir}/examples/server/server.cpp"
$content = $content -replace 'int main\(', 'int __main('
Set-Content -Path "${script:llamacppDir}/examples/server/server.cpp" -Value $content
}
function build {
write-host "generating config with: cmake -S ${script:llamacppDir} -B $script:buildDir $script:cmakeDefs"
& cmake --version
& cmake -S "${script:llamacppDir}" -B $script:buildDir $script:cmakeDefs
if ($LASTEXITCODE -ne 0) { exit($LASTEXITCODE)}
write-host "building with: cmake --build $script:buildDir --config $script:config ($script:cmakeTargets | ForEach-Object { "--target", $_ })"
& cmake --build $script:buildDir --config $script:config ($script:cmakeTargets | ForEach-Object { "--target", $_ })
if ($LASTEXITCODE -ne 0) { exit($LASTEXITCODE)}
}
function install {
rm -ea 0 -recurse -force -path "${script:buildDir}/lib"
md "${script:buildDir}/lib" -ea 0 > $null
cp "${script:buildDir}/bin/${script:config}/ext_server.dll" "${script:buildDir}/lib"
cp "${script:buildDir}/bin/${script:config}/llama.dll" "${script:buildDir}/lib"
# Display the dll dependencies in the build log
if ($script:DUMPBIN -ne $null) {
& "$script:DUMPBIN" /dependents "${script:buildDir}/bin/${script:config}/ext_server.dll" | select-string ".dll"
}
}
function compress_libs {
if ($script:GZIP -eq $null) {
write-host "gzip not installed, not compressing files"
return
}
write-host "Compressing dlls..."
$libs = dir "${script:buildDir}/lib/*.dll"
foreach ($file in $libs) {
& "$script:GZIP" --best -f $file
}
}
function cleanup {
Set-Location "${script:llamacppDir}/examples/server"
git checkout CMakeLists.txt server.cpp
}
init_vars
git_module_setup
apply_patches
# -DLLAMA_AVX -- 2011 Intel Sandy Bridge & AMD Bulldozer
# -DLLAMA_F16C -- 2012 Intel Ivy Bridge & AMD 2011 Bulldozer (No significant improvement over just AVX)
# -DLLAMA_AVX2 -- 2013 Intel Haswell & 2015 AMD Excavator / 2017 AMD Zen
# -DLLAMA_FMA (FMA3) -- 2013 Intel Haswell & 2012 AMD Piledriver
$script:commonCpuDefs = @("-DCMAKE_POSITION_INDEPENDENT_CODE=on", "-DLLAMA_NATIVE=off")
$script:cmakeDefs = $script:commonCpuDefs + @("-DLLAMA_AVX=off", "-DLLAMA_AVX2=off", "-DLLAMA_AVX512=off", "-DLLAMA_FMA=off", "-DLLAMA_F16C=off") + $script:cmakeDefs
$script:buildDir="${script:llamacppDir}/build/windows/${script:ARCH}/cpu"
write-host "Building LCD CPU"
build
install
compress_libs
$script:cmakeDefs = $script:commonCpuDefs + @("-DLLAMA_AVX=on", "-DLLAMA_AVX2=off", "-DLLAMA_AVX512=off", "-DLLAMA_FMA=off", "-DLLAMA_F16C=off") + $script:cmakeDefs
$script:buildDir="${script:llamacppDir}/build/windows/${script:ARCH}/cpu_avx"
write-host "Building AVX CPU"
build
install
compress_libs
$script:cmakeDefs = $script:commonCpuDefs + @("-DLLAMA_AVX=on", "-DLLAMA_AVX2=on", "-DLLAMA_AVX512=off", "-DLLAMA_FMA=on", "-DLLAMA_F16C=on") + $script:cmakeDefs
$script:buildDir="${script:llamacppDir}/build/windows/${script:ARCH}/cpu_avx2"
write-host "Building AVX2 CPU"
build
install
compress_libs
if ($null -ne $script:CUDA_LIB_DIR) {
# Then build cuda as a dynamically loaded library
$nvcc = (get-command -ea 'silentlycontinue' nvcc)
if ($null -ne $nvcc) {
$script:CUDA_VERSION=(get-item ($nvcc | split-path | split-path)).Basename
}
if ($null -ne $script:CUDA_VERSION) {
$script:CUDA_VARIANT="_"+$script:CUDA_VERSION
}
init_vars
$script:buildDir="${script:llamacppDir}/build/windows/${script:ARCH}/cuda$script:CUDA_VARIANT"
$script:cmakeDefs += @("-DLLAMA_CUBLAS=ON", "-DLLAMA_AVX=on", "-DCMAKE_CUDA_ARCHITECTURES=${script:CMAKE_CUDA_ARCHITECTURES}")
build
install
cp "${script:CUDA_LIB_DIR}/cudart64_*.dll" "${script:buildDir}/lib"
cp "${script:CUDA_LIB_DIR}/cublas64_*.dll" "${script:buildDir}/lib"
cp "${script:CUDA_LIB_DIR}/cublasLt64_*.dll" "${script:buildDir}/lib"
compress_libs
}
# TODO - actually implement ROCm support on windows
$script:buildDir="${script:llamacppDir}/build/windows/${script:ARCH}/rocm"
rm -ea 0 -recurse -force -path "${script:buildDir}/lib"
md "${script:buildDir}/lib" -ea 0 > $null
echo $null >> "${script:buildDir}/lib/.generated"
cleanup
write-host "`ngo generate completed"

View File

@@ -1,3 +1,3 @@
package llm
package generate
//go:generate sh ./gen_darwin.sh

View File

@@ -1,3 +1,3 @@
package llm
package generate
//go:generate bash ./gen_linux.sh

View File

@@ -1,3 +1,3 @@
package llm
package generate
//go:generate powershell -ExecutionPolicy Bypass -File ./gen_windows.ps1

View File

@@ -78,7 +78,12 @@ type model interface {
ModelFamily() string
ModelType() string
FileType() string
NumLayers() int64
NumLayers() uint32
NumGQA() uint32
NumEmbed() uint32
NumHead() uint32
NumHeadKv() uint32
NumCtx() uint32
}
type container interface {
@@ -94,9 +99,9 @@ func (c *containerLORA) Name() string {
return "ggla"
}
func (c *containerLORA) Decode(ro *readSeekOffset) (model, error) {
func (c *containerLORA) Decode(rso *readSeekOffset) (model, error) {
var version uint32
binary.Read(ro, binary.LittleEndian, &version)
binary.Read(rso, binary.LittleEndian, &version)
switch version {
case 1:
@@ -107,7 +112,7 @@ func (c *containerLORA) Decode(ro *readSeekOffset) (model, error) {
c.version = version
// remaining file contents aren't decoded
ro.Seek(0, io.SeekEnd)
rso.Seek(0, io.SeekEnd)
return nil, nil
}

View File

@@ -69,12 +69,65 @@ type tensor struct {
name string
kind uint32
offset uint64
size uint64
// shape is the number of elements in each dimension
shape [4]uint64
}
func (t tensor) blockSize() uint64 {
switch {
case t.kind < 2:
return 1
case t.kind < 10:
return 32
default:
return 256
}
}
func (t tensor) typeSize() uint64 {
blockSize := t.blockSize()
switch t.kind {
case 0: // FP32
return 4
case 1: // FP16
return 2
case 2: // Q4_0
return 2 + blockSize/2
case 3: // Q4_1
return 2 + 2 + blockSize/2
case 6: // Q5_0
return 2 + 4 + blockSize/2
case 7: // Q5_1
return 2 + 2 + 4 + blockSize/2
case 8: // Q8_0
return 2 + blockSize
case 9: // Q8_1
return 4 + 4 + blockSize
case 10: // Q2_K
return blockSize/16 + blockSize/4 + 2 + 2
case 11: // Q3_K
return blockSize/8 + blockSize/4 + 12 + 2
case 12: // Q4_K
return 2 + 2 + 12 + blockSize/2
case 13: // Q5_K
return 2 + 2 + 12 + blockSize/8 + blockSize/2
case 14: // Q6_K
return blockSize/2 + blockSize/4 + blockSize/16 + 2
default:
return 0
}
}
func (t tensor) parameters() uint64 {
return t.shape[0] * t.shape[1] * t.shape[2] * t.shape[3]
}
func (t tensor) size() uint64 {
return t.parameters() * t.typeSize() / t.blockSize()
}
type ggufModel struct {
*containerGGUF
@@ -201,61 +254,15 @@ func (llm *ggufModel) Decode(rso *readSeekOffset) error {
shape[i] = llm.readU64(rso)
}
kind := llm.readU32(rso)
offset := llm.readU64(rso)
var blockSize uint64
switch {
case kind < 2:
blockSize = 1
case kind < 10:
blockSize = 32
default:
blockSize = 256
}
var typeSize uint64
switch kind {
case 0: // FP32
typeSize = 4
case 1: // FP16
typeSize = 2
case 2: // Q4_0
typeSize = 2 + blockSize/2
case 3: // Q4_1
typeSize = 2 + 2 + blockSize/2
case 6: // Q5_0
typeSize = 2 + 4 + blockSize/2
case 7: // Q5_1
typeSize = 2 + 2 + 4 + blockSize/2
case 8: // Q8_0
typeSize = 2 + blockSize
case 9: // Q8_1
typeSize = 4 + 4 + blockSize
case 10: // Q2_K
typeSize = blockSize/16 + blockSize/4 + 2 + 2
case 11: // Q3_K
typeSize = blockSize/8 + blockSize/4 + 12 + 2
case 12: // Q4_K
typeSize = 2 + 2 + 12 + blockSize/2
case 13: // Q5_K
typeSize = 2 + 2 + 12 + blockSize/8 + blockSize/2
case 14: // Q6_K
typeSize = blockSize/2 + blockSize/4 + blockSize/16 + 2
}
parameters := shape[0] * shape[1] * shape[2] * shape[3]
size := parameters * typeSize / blockSize
llm.tensors = append(llm.tensors, tensor{
tensor := tensor{
name: name,
kind: kind,
offset: offset,
size: size,
kind: llm.readU32(rso),
offset: llm.readU64(rso),
shape: shape,
})
}
llm.parameters += parameters
llm.tensors = append(llm.tensors, tensor)
llm.parameters += tensor.parameters()
}
alignment, ok := llm.kv["general.alignment"].(uint32)
@@ -265,21 +272,65 @@ func (llm *ggufModel) Decode(rso *readSeekOffset) error {
rso.Seek(int64(alignment)-rso.offset%int64(alignment), io.SeekCurrent)
for _, tensor := range llm.tensors {
padded := (int64(tensor.size) + int64(alignment) - 1) & ^(int64(alignment) - 1)
padded := (int64(tensor.size()) + int64(alignment) - 1) & ^(int64(alignment) - 1)
rso.Seek(padded, io.SeekCurrent)
}
return nil
}
func (llm *ggufModel) NumLayers() int64 {
func (llm *ggufModel) NumLayers() uint32 {
value, exists := llm.kv[fmt.Sprintf("%s.block_count", llm.ModelFamily())]
if !exists {
return 0
}
v := value.(uint32)
return int64(v)
return value.(uint32)
}
func (llm *ggufModel) NumHead() uint32 {
value, exists := llm.kv[fmt.Sprintf("%s.attention.head_count", llm.ModelFamily())]
if !exists {
return 0
}
return value.(uint32)
}
func (llm *ggufModel) NumEmbed() uint32 {
value, exists := llm.kv[fmt.Sprintf("%s.embedding_length", llm.ModelFamily())]
if !exists {
return 0
}
return value.(uint32)
}
func (llm *ggufModel) NumHeadKv() uint32 {
value, exists := llm.kv[fmt.Sprintf("%s.attention.head_count_kv", llm.ModelFamily())]
if !exists {
return 0
}
return value.(uint32)
}
func (llm *ggufModel) NumCtx() uint32 {
value, exists := llm.kv[fmt.Sprintf("%s.context_length", llm.ModelFamily())]
if !exists {
return 0
}
return value.(uint32)
}
func (llm *ggufModel) NumGQA() uint32 {
numHeadKv := llm.NumHeadKv()
if numHeadKv == 0 {
return 0
}
return llm.NumHead() / numHeadKv
}
func (llm ggufModel) readU8(r io.Reader) uint8 {

1
llm/llama.cpp Submodule

Submodule llm/llama.cpp added at d2f650cb5b

View File

@@ -1,29 +0,0 @@
# Ollama specific CMakefile to include in llama.cpp/examples/server
set(TARGET ext_server)
option(LLAMA_SERVER_VERBOSE "Build verbose logging option for Server" ON)
add_library(${TARGET} STATIC ../../../ext_server.cpp)
target_include_directories(${TARGET} PRIVATE ../../common)
target_include_directories(${TARGET} PRIVATE ../..)
target_include_directories(${TARGET} PRIVATE ../../..)
target_compile_features(${TARGET} PRIVATE cxx_std_11)
target_compile_definitions(${TARGET} PUBLIC LLAMA_SERVER_LIBRARY=1)
target_link_libraries(${TARGET} PRIVATE common llama llava ${CMAKE_THREAD_LIBS_INIT})
target_compile_definitions(${TARGET} PRIVATE
SERVER_VERBOSE=$<BOOL:${LLAMA_SERVER_VERBOSE}>
)
if (BUILD_SHARED_LIBS)
set_target_properties(ext_server PROPERTIES POSITION_INDEPENDENT_CODE ON)
target_compile_definitions(ext_server PRIVATE LLAMA_SHARED LLAMA_BUILD)
add_library(ext_server_shared SHARED $<TARGET_OBJECTS:ext_server>)
target_link_libraries(ext_server_shared PRIVATE ggml llama llava common ${CMAKE_THREAD_LIBS_INIT})
install(TARGETS ext_server_shared LIBRARY)
endif()
if (CUDAToolkit_FOUND)
target_include_directories(${TARGET} PRIVATE ${CMAKE_CUDA_TOOLKIT_INCLUDE_DIRECTORIES})
if (WIN32)
target_link_libraries(ext_server_shared PRIVATE nvml)
endif()
endif()

View File

@@ -1,53 +0,0 @@
# common logic accross linux and darwin
init_vars() {
LLAMACPP_DIR=gguf
PATCHES="0001-Expose-callable-API-for-server.patch"
CMAKE_DEFS=""
CMAKE_TARGETS="--target ggml --target ggml_static --target llama --target build_info --target common --target ext_server --target llava_static"
if echo "${CGO_CFLAGS}" | grep -- '-g' >/dev/null; then
CMAKE_DEFS="-DCMAKE_BUILD_TYPE=RelWithDebInfo -DCMAKE_VERBOSE_MAKEFILE=on -DLLAMA_GPROF=on -DLLAMA_SERVER_VERBOSE=on"
else
# TODO - add additional optimization flags...
CMAKE_DEFS="-DCMAKE_BUILD_TYPE=Release -DLLAMA_SERVER_VERBOSE=off"
fi
}
git_module_setup() {
if [ -n "${OLLAMA_SKIP_PATCHING}" ]; then
echo "Skipping submodule initialization"
return
fi
git submodule init
git submodule update --force gguf
}
apply_patches() {
# Wire up our CMakefile
if ! grep ollama gguf/examples/server/CMakeLists.txt; then
echo 'include (../../../CMakeLists.txt) # ollama' >>gguf/examples/server/CMakeLists.txt
fi
# Avoid duplicate main symbols when we link into the cgo binary
sed -e 's/int main(/int __main(/g' <./gguf/examples/server/server.cpp >./gguf/examples/server/server.cpp.tmp &&
mv ./gguf/examples/server/server.cpp.tmp ./gguf/examples/server/server.cpp
}
build() {
cmake -S ${LLAMACPP_DIR} -B ${BUILD_DIR} ${CMAKE_DEFS}
cmake --build ${BUILD_DIR} ${CMAKE_TARGETS} -j8
}
install() {
rm -rf ${BUILD_DIR}/lib
mkdir -p ${BUILD_DIR}/lib
cp ${BUILD_DIR}/examples/server/libext_server.a ${BUILD_DIR}/lib
cp ${BUILD_DIR}/common/libcommon.a ${BUILD_DIR}/lib
cp ${BUILD_DIR}/libllama.a ${BUILD_DIR}/lib
cp ${BUILD_DIR}/libggml_static.a ${BUILD_DIR}/lib
}
# Keep the local tree clean after we're done with the build
cleanup() {
(cd gguf/examples/server/ && git checkout CMakeLists.txt server.cpp)
}

View File

@@ -1,32 +0,0 @@
#!/bin/bash
# This script is intended to run inside the go generate
# working directory must be ../llm/llama.cpp
# TODO - add hardening to detect missing tools (cmake, etc.)
set -ex
set -o pipefail
echo "Starting darwin generate script"
source $(dirname $0)/gen_common.sh
init_vars
CMAKE_DEFS="-DCMAKE_OSX_DEPLOYMENT_TARGET=11.0 -DLLAMA_METAL=on -DLLAMA_ACCELERATE=on ${CMAKE_DEFS}"
BUILD_DIR="gguf/build/darwin/metal"
case "${GOARCH}" in
"amd64")
CMAKE_DEFS="-DCMAKE_SYSTEM_PROCESSOR=x86_64 -DCMAKE_OSX_ARCHITECTURES=x86_64 -DLLAMA_NATIVE=off -DLLAMA_AVX=on -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_FMA=off -DLLAMA_F16C=off ${CMAKE_DEFS}"
;;
"arm64")
CMAKE_DEFS="-DCMAKE_SYSTEM_PROCESSOR=arm64 -DCMAKE_OSX_ARCHITECTURES=arm64 ${CMAKE_DEFS}"
;;
*)
echo "GOARCH must be set"
echo "this script is meant to be run from within go generate"
exit 1
;;
esac
git_module_setup
apply_patches
build
install
cleanup

View File

@@ -1,116 +0,0 @@
#!/bin/bash
# This script is intended to run inside the go generate
# working directory must be llm/llama.cpp
# First we build our default built-in library which will be linked into the CGO
# binary as a normal dependency. This default build is CPU based.
#
# Then we build a CUDA dynamic library (although statically linked with the CUDA
# library dependencies for maximum portability)
#
# Then if we detect ROCm, we build a dynamically loaded ROCm lib. ROCm is particularly
# important to be a dynamic lib even if it's the only GPU library detected because
# we can't redistribute the objectfiles but must rely on dynamic libraries at
# runtime, which could lead the server not to start if not present.
set -ex
set -o pipefail
# See https://llvm.org/docs/AMDGPUUsage.html#processors for reference
amdGPUs() {
GPU_LIST=(
"gfx803"
"gfx900"
"gfx906:xnack-"
"gfx908:xnack-"
"gfx90a:xnack+"
"gfx90a:xnack-"
"gfx1010"
"gfx1012"
"gfx1030"
"gfx1100"
"gfx1101"
"gfx1102"
)
(
IFS=$';'
echo "'${GPU_LIST[*]}'"
)
}
echo "Starting linux generate script"
if [ -z "${CUDACXX}" -a -x /usr/local/cuda/bin/nvcc ]; then
export CUDACXX=/usr/local/cuda/bin/nvcc
fi
COMMON_CMAKE_DEFS="-DCMAKE_POSITION_INDEPENDENT_CODE=on -DLLAMA_NATIVE=off -DLLAMA_AVX=on -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_FMA=off -DLLAMA_F16C=off"
source $(dirname $0)/gen_common.sh
init_vars
git_module_setup
apply_patches
#
# CPU first for the default library
#
CMAKE_DEFS="${COMMON_CMAKE_DEFS} ${CMAKE_DEFS}"
BUILD_DIR="gguf/build/linux/cpu"
build
install
# Placeholder to keep go embed happy until we start building dynamic CPU lib variants
touch ${BUILD_DIR}/lib/dummy.so
if [ -d /usr/local/cuda/lib64/ ]; then
echo "CUDA libraries detected - building dynamic CUDA library"
init_vars
CMAKE_DEFS="-DLLAMA_CUBLAS=on ${COMMON_CMAKE_DEFS} ${CMAKE_DEFS}"
BUILD_DIR="gguf/build/linux/cuda"
CUDA_LIB_DIR=/usr/local/cuda/lib64
build
install
gcc -fPIC -g -shared -o ${BUILD_DIR}/lib/libext_server.so \
-Wl,--whole-archive \
${BUILD_DIR}/lib/libext_server.a \
${BUILD_DIR}/lib/libcommon.a \
${BUILD_DIR}/lib/libllama.a \
-Wl,--no-whole-archive \
${CUDA_LIB_DIR}/libcudart_static.a \
${CUDA_LIB_DIR}/libcublas_static.a \
${CUDA_LIB_DIR}/libcublasLt_static.a \
${CUDA_LIB_DIR}/libcudadevrt.a \
${CUDA_LIB_DIR}/libculibos.a \
-lrt -lpthread -ldl -lstdc++ -lm
fi
if [ -z "${ROCM_PATH}" ]; then
# Try the default location in case it exists
ROCM_PATH=/opt/rocm
fi
if [ -z "${CLBlast_DIR}" ]; then
# Try the default location in case it exists
if [ -d /usr/lib/cmake/CLBlast ]; then
export CLBlast_DIR=/usr/lib/cmake/CLBlast
fi
fi
if [ -d "${ROCM_PATH}" ]; then
echo "ROCm libraries detected - building dynamic ROCm library"
init_vars
CMAKE_DEFS="${COMMON_CMAKE_DEFS} ${CMAKE_DEFS} -DLLAMA_HIPBLAS=on -DCMAKE_C_COMPILER=$ROCM_PATH/llvm/bin/clang -DCMAKE_CXX_COMPILER=$ROCM_PATH/llvm/bin/clang++ -DAMDGPU_TARGETS=$(amdGPUs) -DGPU_TARGETS=$(amdGPUs)"
BUILD_DIR="gguf/build/linux/rocm"
build
install
gcc -fPIC -g -shared -o ${BUILD_DIR}/lib/libext_server.so \
-Wl,--whole-archive \
${BUILD_DIR}/lib/libext_server.a \
${BUILD_DIR}/lib/libcommon.a \
${BUILD_DIR}/lib/libllama.a \
-Wl,--no-whole-archive \
-lrt -lpthread -ldl -lstdc++ -lm \
-L/opt/rocm/lib -L/opt/amdgpu/lib/x86_64-linux-gnu/ \
-Wl,-rpath,/opt/rocm/lib,-rpath,/opt/amdgpu/lib/x86_64-linux-gnu/ \
-lhipblas -lrocblas -lamdhip64 -lrocsolver -lamd_comgr -lhsa-runtime64 -lrocsparse -ldrm -ldrm_amdgpu
fi
cleanup

View File

@@ -1,87 +0,0 @@
#!powershell
$ErrorActionPreference = "Stop"
function init_vars {
$script:patches = @("0001-Expose-callable-API-for-server.patch")
$script:cmakeDefs = @("-DBUILD_SHARED_LIBS=on", "-DLLAMA_NATIVE=off", "-DLLAMA_F16C=off", "-DLLAMA_FMA=off", "-DLLAMA_AVX512=off", "-DLLAMA_AVX2=off", "-DLLAMA_AVX=on", "-A","x64")
$script:cmakeTargets = @("ggml", "ggml_static", "llama", "build_info", "common", "ext_server_shared", "llava_static")
if ($env:CGO_CFLAGS -contains "-g") {
$script:cmakeDefs += @("-DCMAKE_VERBOSE_MAKEFILE=on", "-DLLAMA_SERVER_VERBOSE=on")
$script:config = "RelWithDebInfo"
} else {
$script:cmakeDefs += @("-DLLAMA_SERVER_VERBOSE=off")
$script:config = "Release"
}
}
function git_module_setup {
# TODO add flags to skip the init/patch logic to make it easier to mod llama.cpp code in-repo
& git submodule init
if ($LASTEXITCODE -ne 0) { exit($LASTEXITCODE)}
& git submodule update --force gguf
if ($LASTEXITCODE -ne 0) { exit($LASTEXITCODE)}
}
function apply_patches {
# Wire up our CMakefile
if (!(Select-String -Path "gguf/examples/server/CMakeLists.txt" -Pattern 'ollama')) {
Add-Content -Path "gguf/examples/server/CMakeLists.txt" -Value 'include (../../../CMakeLists.txt) # ollama'
}
# Avoid duplicate main symbols when we link into the cgo binary
$content = Get-Content -Path "./gguf/examples/server/server.cpp"
$content = $content -replace 'int main\(', 'int __main('
Set-Content -Path "./gguf/examples/server/server.cpp" -Value $content
}
function build {
write-host "generating config with: cmake -S gguf -B $script:buildDir $script:cmakeDefs"
& cmake --version
& cmake -S gguf -B $script:buildDir $script:cmakeDefs
if ($LASTEXITCODE -ne 0) { exit($LASTEXITCODE)}
write-host "building with: cmake --build $script:buildDir --config $script:config ($script:cmakeTargets | ForEach-Object { "--target", $_ })"
& cmake --build $script:buildDir --config $script:config ($script:cmakeTargets | ForEach-Object { "--target", $_ })
if ($LASTEXITCODE -ne 0) { exit($LASTEXITCODE)}
}
function install {
rm -ea 0 -recurse -force -path "${script:buildDir}/lib"
md "${script:buildDir}/lib" -ea 0 > $null
cp "${script:buildDir}/bin/${script:config}/ext_server_shared.dll" "${script:buildDir}/lib"
cp "${script:buildDir}/bin/${script:config}/llama.dll" "${script:buildDir}/lib"
# Display the dll dependencies in the build log
dumpbin /dependents "${script:buildDir}/bin/${script:config}/ext_server_shared.dll" | select-string ".dll"
}
function cleanup {
Set-Location "gguf/examples/server"
git checkout CMakeLists.txt server.cpp
}
init_vars
git_module_setup
apply_patches
# first build CPU based
$script:buildDir="gguf/build/windows/cpu"
build
install
# Then build cuda as a dynamically loaded library
init_vars
$script:buildDir="gguf/build/windows/cuda"
$script:cmakeDefs += @("-DLLAMA_CUBLAS=ON")
build
install
# TODO - actually implement ROCm support on windows
$script:buildDir="gguf/build/windows/rocm"
rm -ea 0 -recurse -force -path "${script:buildDir}/lib"
md "${script:buildDir}/lib" -ea 0 > $null
echo $null >> "${script:buildDir}/lib/.generated"
cleanup
write-host "`ngo generate completed"

View File

@@ -1,18 +1,11 @@
package llm
import (
"bytes"
"context"
_ "embed"
"errors"
"fmt"
"os"
"os/exec"
"sync"
"time"
"github.com/jmorganca/ollama/api"
"github.com/jmorganca/ollama/format"
)
const jsonGrammar = `
@@ -43,109 +36,12 @@ number ::= ("-"? ([0-9] | [1-9] [0-9]*)) ("." [0-9]+)? ([eE] [-+]? [0-9]+)? ws
ws ::= ([ \t\n] ws)?
`
type llamaModel struct {
hyperparameters llamaHyperparameters
}
func (llm *llamaModel) ModelFamily() string {
return "llama"
}
func llamaModelType(numLayer uint32) string {
switch numLayer {
case 26:
return "3B"
case 32:
return "7B"
case 40:
return "13B"
case 48:
return "34B"
case 60:
return "30B"
case 80:
return "65B"
default:
return "unknown"
}
}
func (llm *llamaModel) ModelType() string {
return llamaModelType(llm.hyperparameters.NumLayer)
}
func (llm *llamaModel) FileType() string {
return fileType(llm.hyperparameters.FileType)
}
func (llm *llamaModel) NumLayers() int64 {
return int64(llm.hyperparameters.NumLayer)
}
type llamaHyperparameters struct {
// NumVocab is the size of the model's vocabulary.
NumVocab uint32
// NumEmbd is the size of the model's embedding layer.
NumEmbd uint32
NumMult uint32
NumHead uint32
// NumLayer is the number of layers in the model.
NumLayer uint32
NumRot uint32
// FileType describes the quantization level of the model, e.g. Q4_0, Q5_K, etc.
FileType uint32
}
type Running struct {
Port int
Cmd *exec.Cmd
Cancel context.CancelFunc
exitOnce sync.Once
exitCh chan error // channel to receive the exit status of the subprocess
*StatusWriter // captures error messages from the llama runner process
}
type ImageData struct {
Data []byte `json:"data"`
ID int `json:"id"`
}
var (
errNvidiaSMI = errors.New("warning: gpu support may not be enabled, check that you have installed GPU drivers: nvidia-smi command failed")
errAvailableVRAM = errors.New("not enough VRAM available, falling back to CPU only")
payloadMissing = fmt.Errorf("expected dynamic library payloads not included in this build of ollama")
)
// StatusWriter is a writer that captures error messages from the llama runner process
type StatusWriter struct {
ErrCh chan error
LastErrMsg string
}
func NewStatusWriter() *StatusWriter {
return &StatusWriter{
ErrCh: make(chan error, 1),
}
}
func (w *StatusWriter) Write(b []byte) (int, error) {
var errMsg string
if _, after, ok := bytes.Cut(b, []byte("error:")); ok {
errMsg = string(bytes.TrimSpace(after))
} else if _, after, ok := bytes.Cut(b, []byte("CUDA error")); ok {
errMsg = string(bytes.TrimSpace(after))
}
if errMsg != "" {
w.LastErrMsg = errMsg
w.ErrCh <- fmt.Errorf("llama runner: %s", errMsg)
}
return os.Stderr.Write(b)
}
var payloadMissing = fmt.Errorf("expected dynamic library payloads not included in this build of ollama")
type prediction struct {
Content string `json:"content"`
@@ -161,14 +57,12 @@ type prediction struct {
}
}
const maxBufferSize = 512 * format.KiloByte
const maxRetries = 3
const retryDelay = 1 * time.Second
type PredictOpts struct {
Prompt string
Format string
Images []api.ImageData
Images []ImageData
Options api.Options
}

View File

@@ -3,14 +3,11 @@ package llm
import (
"context"
"fmt"
"log"
"log/slog"
"os"
"runtime"
"github.com/pbnjay/memory"
"github.com/jmorganca/ollama/api"
"github.com/jmorganca/ollama/format"
"github.com/jmorganca/ollama/gpu"
)
@@ -22,8 +19,6 @@ type LLM interface {
Close()
}
var AvailableShims = map[string]string{}
func New(workDir, model string, adapters, projectors []string, opts api.Options) (LLM, error) {
if _, err := os.Stat(model); err != nil {
return nil, err
@@ -40,40 +35,92 @@ func New(workDir, model string, adapters, projectors []string, opts api.Options)
return nil, err
}
if runtime.GOOS == "darwin" {
var requiredMemory int64
var f16Multiplier int64 = 2
switch ggml.ModelType() {
case "3B", "7B":
requiredMemory = 8 * format.GigaByte
case "13B":
requiredMemory = 16 * format.GigaByte
case "30B", "34B", "40B":
requiredMemory = 32 * format.GigaByte
case "47B":
requiredMemory = 48 * format.GigaByte
case "65B", "70B":
requiredMemory = 64 * format.GigaByte
case "180B":
requiredMemory = 128 * format.GigaByte
f16Multiplier = 4
}
systemMemory := int64(memory.TotalMemory())
if ggml.FileType() == "F16" && requiredMemory*f16Multiplier > systemMemory {
return nil, fmt.Errorf("F16 model requires at least %s of memory", format.HumanBytes(requiredMemory))
} else if requiredMemory > systemMemory {
return nil, fmt.Errorf("model requires at least %s of memory", format.HumanBytes(requiredMemory))
}
if opts.NumCtx > int(ggml.NumCtx()) {
slog.Warn(fmt.Sprintf("requested context length is greater than model's max context length (%d > %d), using %d instead", opts.NumCtx, ggml.NumCtx(), ggml.NumCtx()))
opts.NumCtx = int(ggml.NumCtx())
}
if opts.NumCtx < 4 {
opts.NumCtx = 4
}
vram, _ := gpu.CheckVRAM()
size := ggml.Size
// fp16 k,v matrices require = n_ctx * n_layer * n_embd / n_head * n_head_kv * 2 bytes each * 2 key and value
kv := 2 * 2 * int64(opts.NumCtx) * int64(ggml.NumLayers()) * int64(ggml.NumEmbed()) * int64(ggml.NumHeadKv()) / int64(ggml.NumHead())
// this amount is the overhead + tensors in memory
// TODO: get this from the llama.cpp's graph calculations instead of
// estimating it's 1/6 * kv_cache_size * num_gqa
graph := int64(ggml.NumGQA()) * kv / 6
info := gpu.GetGPUInfo()
switch runtime.GOOS {
case "darwin":
if opts.NumGPU == 0 {
break
}
if size+kv+graph > vram {
slog.Info("not enough vram available, falling back to CPU only")
info.Library = "cpu"
info.Variant = gpu.GetCPUVariant()
opts.NumGPU = 0
break
}
// TODO: implement layer splitting on macOS
opts.NumGPU = 999
default:
if info.Library == "cpu" {
slog.Info("GPU not available, falling back to CPU")
opts.NumGPU = 0
break
}
// don't use GPU at all if no layers are loaded
if opts.NumGPU == 0 {
info.Library = "cpu"
info.Variant = gpu.GetCPUVariant()
break
}
// user-defined GPU count
if opts.NumGPU != -1 {
break
}
// the "main" GPU needs the most memory and determines the limit
// of how many layers can be loaded. It needs to fit:
// 1. the full compute graph allocation for all devices (graph)
// 2. the proportional kv cache for all devices (kv * % layers)
// 3. the proportional model (size * % layers / # devices)
// This estimates the number of layers
maxlayers := int64(ggml.NumLayers()) + 1
devices := int64(info.DeviceCount)
avg := vram / devices
layers := maxlayers * (avg - graph) / (kv + size/devices)
if layers > maxlayers {
layers = maxlayers
}
// 1 + 2 must fit on the main gpu
min := graph + kv*layers/maxlayers
if layers <= 0 || min > avg {
slog.Info("not enough vram available, falling back to CPU only")
info.Library = "cpu"
info.Variant = gpu.GetCPUVariant()
opts.NumGPU = 0
break
}
opts.NumGPU = int(layers)
}
opts.NumGQA = 0
opts.RopeFrequencyBase = 0.0
opts.RopeFrequencyScale = 0.0
gpuInfo := gpu.GetGPUInfo()
return newLlmServer(gpuInfo.Library, model, adapters, projectors, ggml.NumLayers(), opts)
return newLlmServer(info, model, adapters, projectors, opts)
}
// Give any native cgo implementations an opportunity to initialize
@@ -81,16 +128,30 @@ func Init(workdir string) error {
return nativeInit(workdir)
}
func newLlmServer(library, model string, adapters, projectors []string, numLayers int64, opts api.Options) (extServer, error) {
if _, libPresent := AvailableShims[library]; libPresent && library != "default" {
srv, err := newDynamicShimExtServer(AvailableShims[library], model, adapters, projectors, numLayers, opts)
func newLlmServer(gpuInfo gpu.GpuInfo, model string, adapters, projectors []string, opts api.Options) (LLM, error) {
dynLibs := getDynLibs(gpuInfo)
// Check to see if the user has requested a specific library instead of auto-detecting
demandLib := os.Getenv("OLLAMA_LLM_LIBRARY")
if demandLib != "" {
libPath := availableDynLibs[demandLib]
if libPath == "" {
slog.Info(fmt.Sprintf("Invalid OLLAMA_LLM_LIBRARY %s - not found", demandLib))
} else {
slog.Info(fmt.Sprintf("Loading OLLAMA_LLM_LIBRARY=%s", demandLib))
dynLibs = []string{libPath}
}
}
err2 := fmt.Errorf("unable to locate suitable llm library")
for _, dynLib := range dynLibs {
srv, err := newDynExtServer(dynLib, model, adapters, projectors, opts)
if err == nil {
return srv, nil
}
log.Printf("Failed to load dynamic library %s - falling back to CPU mode %s", library, err)
// TODO - update some state to indicate we were unable to load the GPU library for future "info" ux
slog.Warn(fmt.Sprintf("Failed to load dynamic library %s %s", dynLib, err))
err2 = err
}
return newDefaultExtServer(model, adapters, projectors, numLayers, opts)
return nil, err2
}

30
llm/patches/01-cache.diff Normal file
View File

@@ -0,0 +1,30 @@
diff --git a/examples/server/server.cpp b/examples/server/server.cpp
index a48582ad..9fffffd8 100644
--- a/examples/server/server.cpp
+++ b/examples/server/server.cpp
@@ -1564,12 +1564,6 @@ struct llama_server_context
LOG_TEE("slot %d : in cache: %i tokens | to process: %i tokens\n", slot.id, slot.n_past, slot.num_prompt_tokens_processed);
}
- LOG_TEE("slot %d : kv cache rm - [%d, end)\n", slot.id, (int) system_tokens.size() + slot.n_past);
-
- llama_kv_cache_seq_rm(ctx, slot.id, system_tokens.size() + slot.n_past, -1);
-
- slot.cache_tokens = prompt_tokens;
-
if (slot.n_past == slot.num_prompt_tokens && slot.n_past > 0)
{
// we have to evaluate at least 1 token to generate logits.
@@ -1581,6 +1575,12 @@ struct llama_server_context
}
}
+ LOG_TEE("slot %d : kv cache rm - [%d, end)\n", slot.id, (int) system_tokens.size() + slot.n_past);
+
+ llama_kv_cache_seq_rm(ctx, slot.id, system_tokens.size() + slot.n_past, -1);
+
+ slot.cache_tokens = prompt_tokens;
+
LOG_VERBOSE("prompt ingested", {
{"n_past", slot.n_past},
{"cached", tokens_to_str(ctx, slot.cache_tokens.cbegin(), slot.cache_tokens.cbegin() + slot.n_past)},

View File

@@ -0,0 +1,90 @@
diff --git a/examples/server/server.cpp b/examples/server/server.cpp
index 11dd82c3..311495a8 100644
--- a/examples/server/server.cpp
+++ b/examples/server/server.cpp
@@ -28,6 +28,7 @@
#include <chrono>
#include <condition_variable>
#include <atomic>
+#include <signal.h>
using json = nlohmann::json;
@@ -2394,6 +2395,9 @@ static void append_to_generated_text_from_generated_token_probs(llama_server_con
}
}
+std::function<void(int)> shutdown_handler;
+inline void signal_handler(int signal) { shutdown_handler(signal); }
+
int main(int argc, char **argv)
{
#if SERVER_VERBOSE != 1
@@ -3014,8 +3018,14 @@ int main(int argc, char **argv)
std::placeholders::_2,
std::placeholders::_3
));
- llama.queue_tasks.start_loop();
+ shutdown_handler = [&](int) {
+ llama.queue_tasks.terminate();
+ };
+ signal(SIGTERM, signal_handler);
+ signal(SIGINT, signal_handler);
+ llama.queue_tasks.start_loop();
+ svr.stop();
t.join();
llama_backend_free();
diff --git a/examples/server/utils.hpp b/examples/server/utils.hpp
index 70cce072..2acb1eab 100644
--- a/examples/server/utils.hpp
+++ b/examples/server/utils.hpp
@@ -6,6 +6,7 @@
#include <mutex>
#include <condition_variable>
#include <unordered_map>
+#include <atomic>
#include "json.hpp"
@@ -190,6 +191,7 @@ inline std::string format_chatml(std::vector<json> messages)
struct llama_server_queue {
int id = 0;
std::mutex mutex_tasks;
+ std::atomic<bool> running;
// queues
std::vector<task_server> queue_tasks;
std::vector<task_server> queue_tasks_deferred;
@@ -248,9 +250,15 @@ struct llama_server_queue {
queue_tasks_deferred.clear();
}
- // Start the main loop. This call is blocking
- [[noreturn]]
+ // end the start_loop routine
+ void terminate() {
+ running = false;
+ condition_tasks.notify_all();
+ }
+
+ // Start the main loop.
void start_loop() {
+ running = true;
while (true) {
// new task arrived
LOG_VERBOSE("have new task", {});
@@ -294,8 +302,12 @@ struct llama_server_queue {
{
std::unique_lock<std::mutex> lock(mutex_tasks);
if (queue_tasks.empty()) {
+ if (!running.load()) {
+ LOG_VERBOSE("ending start_loop", {});
+ return;
+ }
condition_tasks.wait(lock, [&]{
- return !queue_tasks.empty();
+ return (!queue_tasks.empty() || !running.load());
});
}
}

283
llm/payload_common.go Normal file
View File

@@ -0,0 +1,283 @@
package llm
import (
"compress/gzip"
"errors"
"fmt"
"io"
"io/fs"
"log/slog"
"os"
"path/filepath"
"runtime"
"strings"
"golang.org/x/exp/slices"
"golang.org/x/sync/errgroup"
"github.com/jmorganca/ollama/gpu"
)
// Libraries names may contain an optional variant separated by '_'
// For example, "rocm_v6" and "rocm_v5" or "cpu" and "cpu_avx2"
// Any library without a variant is the lowest common denominator
var availableDynLibs = map[string]string{}
const pathComponentCount = 7
// getDynLibs returns an ordered list of LLM libraries to try, starting with the best
func getDynLibs(gpuInfo gpu.GpuInfo) []string {
// Short circuit if we know we're using the default built-in (darwin only)
if gpuInfo.Library == "default" {
return []string{"default"}
}
// TODO - temporary until we have multiple CPU variations for Darwin
// Short circuit on darwin with metal only
if len(availableDynLibs) == 1 {
if _, onlyMetal := availableDynLibs["metal"]; onlyMetal {
return []string{availableDynLibs["metal"]}
}
}
exactMatch := ""
dynLibs := []string{}
altDynLibs := []string{}
requested := gpuInfo.Library
if gpuInfo.Variant != "" {
requested += "_" + gpuInfo.Variant
}
// Try to find an exact match
for cmp := range availableDynLibs {
if requested == cmp {
exactMatch = cmp
dynLibs = []string{availableDynLibs[cmp]}
break
}
}
// Then for GPUs load alternates and sort the list for consistent load ordering
if gpuInfo.Library != "cpu" {
for cmp := range availableDynLibs {
if gpuInfo.Library == strings.Split(cmp, "_")[0] && cmp != exactMatch {
altDynLibs = append(altDynLibs, cmp)
}
}
slices.Sort(altDynLibs)
for _, altDynLib := range altDynLibs {
dynLibs = append(dynLibs, availableDynLibs[altDynLib])
}
}
// Load up the best CPU variant if not primary requested
if gpuInfo.Library != "cpu" {
variant := gpu.GetCPUVariant()
// If no variant, then we fall back to default
// If we have a variant, try that if we find an exact match
// Attempting to run the wrong CPU instructions will panic the
// process
if variant != "" {
for cmp := range availableDynLibs {
if cmp == "cpu_"+variant {
dynLibs = append(dynLibs, availableDynLibs[cmp])
break
}
}
} else {
dynLibs = append(dynLibs, availableDynLibs["cpu"])
}
}
// Finally, if we didn't find any matches, LCD CPU FTW
if len(dynLibs) == 0 {
dynLibs = []string{availableDynLibs["cpu"]}
}
return dynLibs
}
func rocmDynLibPresent() bool {
for dynLibName := range availableDynLibs {
if strings.HasPrefix(dynLibName, "rocm") {
return true
}
}
return false
}
func nativeInit(workdir string) error {
slog.Info("Extracting dynamic libraries...")
if runtime.GOOS == "darwin" {
err := extractPayloadFiles(workdir, "llama.cpp/ggml-metal.metal")
if err != nil {
if err == payloadMissing {
// TODO perhaps consider this a hard failure on arm macs?
slog.Info("ggml-meta.metal payload missing")
return nil
}
return err
}
os.Setenv("GGML_METAL_PATH_RESOURCES", workdir)
}
libs, err := extractDynamicLibs(workdir, "llama.cpp/build/*/*/*/lib/*")
if err != nil {
if err == payloadMissing {
slog.Info(fmt.Sprintf("%s", payloadMissing))
return nil
}
return err
}
for _, lib := range libs {
// The last dir component is the variant name
variant := filepath.Base(filepath.Dir(lib))
availableDynLibs[variant] = lib
}
if err := verifyDriverAccess(); err != nil {
return err
}
// Report which dynamic libraries we have loaded to assist troubleshooting
variants := make([]string, len(availableDynLibs))
i := 0
for variant := range availableDynLibs {
variants[i] = variant
i++
}
slog.Info(fmt.Sprintf("Dynamic LLM libraries %v", variants))
slog.Debug("Override detection logic by setting OLLAMA_LLM_LIBRARY")
return nil
}
func extractDynamicLibs(workDir, glob string) ([]string, error) {
files, err := fs.Glob(libEmbed, glob)
if err != nil || len(files) == 0 {
return nil, payloadMissing
}
libs := []string{}
// TODO consider making this idempotent with some sort of persistent directory (where we store models probably)
// and tracking by version so we don't reexpand the files every time
// Also maybe consider lazy loading only what is needed
g := new(errgroup.Group)
for _, file := range files {
pathComps := strings.Split(file, "/")
if len(pathComps) != pathComponentCount {
slog.Error(fmt.Sprintf("unexpected payload components: %v", pathComps))
continue
}
file := file
g.Go(func() error {
// llama.cpp/build/$OS/$GOARCH/$VARIANT/lib/$LIBRARY
// Include the variant in the path to avoid conflicts between multiple server libs
targetDir := filepath.Join(workDir, pathComps[pathComponentCount-3])
srcFile, err := libEmbed.Open(file)
if err != nil {
return fmt.Errorf("read payload %s: %v", file, err)
}
defer srcFile.Close()
if err := os.MkdirAll(targetDir, 0o755); err != nil {
return fmt.Errorf("create payload temp dir %s: %v", workDir, err)
}
src := io.Reader(srcFile)
filename := file
if strings.HasSuffix(file, ".gz") {
src, err = gzip.NewReader(src)
if err != nil {
return fmt.Errorf("decompress payload %s: %v", file, err)
}
filename = strings.TrimSuffix(filename, ".gz")
}
destFile := filepath.Join(targetDir, filepath.Base(filename))
if strings.Contains(destFile, "server") {
libs = append(libs, destFile)
}
_, err = os.Stat(destFile)
switch {
case errors.Is(err, os.ErrNotExist):
destFile, err := os.OpenFile(destFile, os.O_WRONLY|os.O_CREATE|os.O_TRUNC, 0o755)
if err != nil {
return fmt.Errorf("write payload %s: %v", file, err)
}
defer destFile.Close()
if _, err := io.Copy(destFile, src); err != nil {
return fmt.Errorf("copy payload %s: %v", file, err)
}
case err != nil:
return fmt.Errorf("stat payload %s: %v", file, err)
}
return nil
})
}
return libs, g.Wait()
}
func extractPayloadFiles(workDir, glob string) error {
files, err := fs.Glob(libEmbed, glob)
if err != nil || len(files) == 0 {
return payloadMissing
}
for _, file := range files {
srcFile, err := libEmbed.Open(file)
if err != nil {
return fmt.Errorf("read payload %s: %v", file, err)
}
defer srcFile.Close()
if err := os.MkdirAll(workDir, 0o755); err != nil {
return fmt.Errorf("create payload temp dir %s: %v", workDir, err)
}
src := io.Reader(srcFile)
filename := file
if strings.HasSuffix(file, ".gz") {
src, err = gzip.NewReader(src)
if err != nil {
return fmt.Errorf("decompress payload %s: %v", file, err)
}
filename = strings.TrimSuffix(filename, ".gz")
}
destFile := filepath.Join(workDir, filepath.Base(filename))
_, err = os.Stat(destFile)
switch {
case errors.Is(err, os.ErrNotExist):
destFile, err := os.OpenFile(destFile, os.O_WRONLY|os.O_CREATE|os.O_TRUNC, 0o755)
if err != nil {
return fmt.Errorf("write payload %s: %v", file, err)
}
defer destFile.Close()
if _, err := io.Copy(destFile, src); err != nil {
return fmt.Errorf("copy payload %s: %v", file, err)
}
case err != nil:
return fmt.Errorf("stat payload %s: %v", file, err)
}
}
return nil
}
func verifyDriverAccess() error {
if runtime.GOOS != "linux" {
return nil
}
// Only check ROCm access if we have the dynamic lib loaded
if rocmDynLibPresent() {
// Verify we have permissions - either running as root, or we have group access to the driver
fd, err := os.OpenFile("/dev/kfd", os.O_RDWR, 0666)
if err != nil {
if errors.Is(err, fs.ErrPermission) {
return fmt.Errorf("Radeon card detected, but permissions not set up properly. Either run ollama as root, or add you user account to the render group.")
} else if errors.Is(err, fs.ErrNotExist) {
// expected behavior without a radeon card
return nil
}
return fmt.Errorf("failed to check permission on /dev/kfd: %w", err)
}
fd.Close()
}
return nil
}

View File

@@ -0,0 +1,8 @@
package llm
import (
"embed"
)
//go:embed llama.cpp/ggml-metal.metal llama.cpp/build/darwin/x86_64/*/lib/*.dylib*
var libEmbed embed.FS

View File

@@ -0,0 +1,8 @@
package llm
import (
"embed"
)
//go:embed llama.cpp/ggml-metal.metal llama.cpp/build/darwin/arm64/*/lib/*.dylib*
var libEmbed embed.FS

8
llm/payload_linux.go Normal file
View File

@@ -0,0 +1,8 @@
package llm
import (
"embed"
)
//go:embed llama.cpp/build/linux/*/*/lib/*.so*
var libEmbed embed.FS

58
llm/payload_test.go Normal file
View File

@@ -0,0 +1,58 @@
package llm
import (
"testing"
"github.com/jmorganca/ollama/gpu"
"github.com/stretchr/testify/assert"
)
func TestGetDynLibs(t *testing.T) {
availableDynLibs = map[string]string{
"cpu": "X_cpu",
}
assert.Equal(t, false, rocmDynLibPresent())
res := getDynLibs(gpu.GpuInfo{Library: "cpu"})
assert.Len(t, res, 1)
assert.Equal(t, availableDynLibs["cpu"], res[0])
variant := gpu.GetCPUVariant()
if variant != "" {
variant = "_" + variant
}
availableDynLibs = map[string]string{
"rocm_v5": "X_rocm_v5",
"rocm_v6": "X_rocm_v6",
"cpu" + variant: "X_cpu",
}
assert.Equal(t, true, rocmDynLibPresent())
res = getDynLibs(gpu.GpuInfo{Library: "rocm"})
assert.Len(t, res, 3)
assert.Equal(t, availableDynLibs["rocm_v5"], res[0])
assert.Equal(t, availableDynLibs["rocm_v6"], res[1])
assert.Equal(t, availableDynLibs["cpu"+variant], res[2])
res = getDynLibs(gpu.GpuInfo{Library: "rocm", Variant: "v6"})
assert.Len(t, res, 3)
assert.Equal(t, availableDynLibs["rocm_v6"], res[0])
assert.Equal(t, availableDynLibs["rocm_v5"], res[1])
assert.Equal(t, availableDynLibs["cpu"+variant], res[2])
res = getDynLibs(gpu.GpuInfo{Library: "cuda"})
assert.Len(t, res, 1)
assert.Equal(t, availableDynLibs["cpu"+variant], res[0])
res = getDynLibs(gpu.GpuInfo{Library: "default"})
assert.Len(t, res, 1)
assert.Equal(t, "default", res[0])
availableDynLibs = map[string]string{
"rocm": "X_rocm_v5",
"cpu" + variant: "X_cpu",
}
assert.Equal(t, true, rocmDynLibPresent())
res = getDynLibs(gpu.GpuInfo{Library: "rocm", Variant: "v6"})
assert.Len(t, res, 2)
assert.Equal(t, availableDynLibs["rocm"], res[0])
assert.Equal(t, availableDynLibs["cpu"+variant], res[1])
}

8
llm/payload_windows.go Normal file
View File

@@ -0,0 +1,8 @@
package llm
import (
"embed"
)
//go:embed llama.cpp/build/windows/*/*/lib/*.dll*
var libEmbed embed.FS

View File

@@ -1,71 +0,0 @@
package llm
import (
"embed"
"errors"
"fmt"
"io"
"io/fs"
"log"
"os"
"path/filepath"
"github.com/jmorganca/ollama/api"
)
//go:embed llama.cpp/gguf/ggml-metal.metal
var libEmbed embed.FS
func newDynamicShimExtServer(library, model string, adapters, projectors []string, numLayers int64, opts api.Options) (extServer, error) {
// should never happen...
return nil, fmt.Errorf("Dynamic library loading not supported on Mac")
}
func nativeInit(workdir string) error {
err := extractPayloadFiles(workdir, "llama.cpp/gguf/ggml-metal.metal")
if err != nil {
if err == payloadMissing {
// TODO perhaps consider this a hard failure on arm macs?
log.Printf("ggml-meta.metal payload missing")
return nil
}
return err
}
os.Setenv("GGML_METAL_PATH_RESOURCES", workdir)
return nil
}
func extractPayloadFiles(workDir, glob string) error {
files, err := fs.Glob(libEmbed, glob)
if err != nil || len(files) == 0 {
return payloadMissing
}
for _, file := range files {
srcFile, err := libEmbed.Open(file)
if err != nil {
return fmt.Errorf("read payload %s: %v", file, err)
}
defer srcFile.Close()
if err := os.MkdirAll(workDir, 0o755); err != nil {
return fmt.Errorf("create payload temp dir %s: %v", workDir, err)
}
destFile := filepath.Join(workDir, filepath.Base(file))
_, err = os.Stat(destFile)
switch {
case errors.Is(err, os.ErrNotExist):
destFile, err := os.OpenFile(destFile, os.O_WRONLY|os.O_CREATE|os.O_TRUNC, 0o755)
if err != nil {
return fmt.Errorf("write payload %s: %v", file, err)
}
defer destFile.Close()
if _, err := io.Copy(destFile, srcFile); err != nil {
return fmt.Errorf("copy payload %s: %v", file, err)
}
case err != nil:
return fmt.Errorf("stat payload %s: %v", file, err)
}
}
return nil
}

View File

@@ -1,191 +0,0 @@
//go:build !darwin
package llm
/*
#include <stdlib.h>
#include "dynamic_shim.h"
*/
import "C"
import (
"context"
"errors"
"fmt"
"io"
"io/fs"
"log"
"os"
"path/filepath"
"strings"
"sync"
"unsafe"
"github.com/jmorganca/ollama/api"
)
type shimExtServer struct {
s C.struct_dynamic_llama_server
options api.Options
}
// Note: current implementation does not support concurrent instantiations
var shimMutex sync.Mutex
var llm *shimExtServer
func (llm *shimExtServer) llama_server_init(sparams *C.ext_server_params_t, err *C.ext_server_resp_t) {
C.dynamic_shim_llama_server_init(llm.s, sparams, err)
}
func (llm *shimExtServer) llama_server_start() {
C.dynamic_shim_llama_server_start(llm.s)
}
func (llm *shimExtServer) llama_server_stop() {
C.dynamic_shim_llama_server_stop(llm.s)
}
func (llm *shimExtServer) llama_server_completion(json_req *C.char, resp *C.ext_server_resp_t) {
C.dynamic_shim_llama_server_completion(llm.s, json_req, resp)
}
func (llm *shimExtServer) llama_server_completion_next_result(task_id C.int, resp *C.ext_server_task_result_t) {
C.dynamic_shim_llama_server_completion_next_result(llm.s, task_id, resp)
}
func (llm *shimExtServer) llama_server_completion_cancel(task_id C.int, err *C.ext_server_resp_t) {
C.dynamic_shim_llama_server_completion_cancel(llm.s, task_id, err)
}
func (llm *shimExtServer) llama_server_release_task_result(result *C.ext_server_task_result_t) {
C.dynamic_shim_llama_server_release_task_result(llm.s, result)
}
func (llm *shimExtServer) llama_server_tokenize(json_req *C.char, json_resp **C.char, err *C.ext_server_resp_t) {
C.dynamic_shim_llama_server_tokenize(llm.s, json_req, json_resp, err)
}
func (llm *shimExtServer) llama_server_detokenize(json_req *C.char, json_resp **C.char, err *C.ext_server_resp_t) {
C.dynamic_shim_llama_server_detokenize(llm.s, json_req, json_resp, err)
}
func (llm *shimExtServer) llama_server_embedding(json_req *C.char, json_resp **C.char, err *C.ext_server_resp_t) {
C.dynamic_shim_llama_server_embedding(llm.s, json_req, json_resp, err)
}
func (llm *shimExtServer) llama_server_release_json_resp(json_resp **C.char) {
C.dynamic_shim_llama_server_release_json_resp(llm.s, json_resp)
}
func newDynamicShimExtServer(library, model string, adapters, projectors []string, numLayers int64, opts api.Options) (extServer, error) {
shimMutex.Lock()
defer shimMutex.Unlock()
updatePath(filepath.Dir(library))
libPath := C.CString(library)
defer C.free(unsafe.Pointer(libPath))
resp := newExtServerResp(128)
defer freeExtServerResp(resp)
var srv C.struct_dynamic_llama_server
C.dynamic_shim_init(libPath, &srv, &resp)
if resp.id < 0 {
return nil, fmt.Errorf("Unable to load dynamic library: %s", C.GoString(resp.msg))
}
llm = &shimExtServer{
s: srv,
options: opts,
}
log.Printf("Loading Dynamic Shim llm server: %s", library)
return newExtServer(llm, model, adapters, projectors, numLayers, opts)
}
func (llm *shimExtServer) Predict(ctx context.Context, pred PredictOpts, fn func(PredictResult)) error {
return predict(ctx, llm, pred, fn)
}
func (llm *shimExtServer) Encode(ctx context.Context, prompt string) ([]int, error) {
return encode(llm, ctx, prompt)
}
func (llm *shimExtServer) Decode(ctx context.Context, tokens []int) (string, error) {
return decode(llm, ctx, tokens)
}
func (llm *shimExtServer) Embedding(ctx context.Context, input string) ([]float64, error) {
return embedding(llm, ctx, input)
}
func (llm *shimExtServer) Close() {
close(llm)
}
func nativeInit(workdir string) error {
libs, err := extractDynamicLibs(workdir, "llama.cpp/gguf/build/*/*/lib/*")
if err != nil {
if err == payloadMissing {
log.Printf("%s", payloadMissing)
return nil
}
return err
}
for _, lib := range libs {
// The last dir component is the variant name
variant := filepath.Base(filepath.Dir(lib))
AvailableShims[variant] = lib
}
if err := verifyDriverAccess(); err != nil {
return err
}
// Report which dynamic libraries we have loaded to assist troubleshooting
variants := make([]string, len(AvailableShims))
i := 0
for variant := range AvailableShims {
variants[i] = variant
i++
}
log.Printf("Dynamic LLM variants %v", variants)
return nil
}
func extractDynamicLibs(workDir, glob string) ([]string, error) {
files, err := fs.Glob(libEmbed, glob)
if err != nil || len(files) == 0 {
return nil, payloadMissing
}
libs := []string{}
for _, file := range files {
pathComps := strings.Split(file, "/")
if len(pathComps) != 7 {
log.Printf("unexpected payload components: %v", pathComps)
continue
}
// llama.cpp/gguf/build/$OS/$VARIANT/lib/$LIBRARY
// Include the variant in the path to avoid conflicts between multiple server libs
targetDir := filepath.Join(workDir, pathComps[4])
srcFile, err := libEmbed.Open(file)
if err != nil {
return nil, fmt.Errorf("read payload %s: %v", file, err)
}
defer srcFile.Close()
if err := os.MkdirAll(targetDir, 0o755); err != nil {
return nil, fmt.Errorf("create payload temp dir %s: %v", workDir, err)
}
destFile := filepath.Join(targetDir, filepath.Base(file))
if strings.Contains(destFile, "server") {
libs = append(libs, destFile)
}
_, err = os.Stat(destFile)
switch {
case errors.Is(err, os.ErrNotExist):
destFile, err := os.OpenFile(destFile, os.O_WRONLY|os.O_CREATE|os.O_TRUNC, 0o755)
if err != nil {
return nil, fmt.Errorf("write payload %s: %v", file, err)
}
defer destFile.Close()
if _, err := io.Copy(destFile, srcFile); err != nil {
return nil, fmt.Errorf("copy payload %s: %v", file, err)
}
case err != nil:
return nil, fmt.Errorf("stat payload %s: %v", file, err)
}
}
return libs, nil
}

View File

@@ -1,46 +0,0 @@
package llm
import (
"embed"
"errors"
"fmt"
"io/fs"
"log"
"os"
"strings"
)
//go:embed llama.cpp/gguf/build/*/*/lib/*.so
var libEmbed embed.FS
func updatePath(dir string) {
pathComponents := strings.Split(os.Getenv("PATH"), ":")
for _, comp := range pathComponents {
if comp == dir {
return
}
}
newPath := strings.Join(append(pathComponents, dir), ":")
log.Printf("Updating PATH to %s", newPath)
os.Setenv("PATH", newPath)
}
func verifyDriverAccess() error {
// Only check ROCm access if we have the dynamic lib loaded
if _, rocmPresent := AvailableShims["rocm"]; rocmPresent {
// Verify we have permissions - either running as root, or we have group access to the driver
fd, err := os.OpenFile("/dev/kfd", os.O_RDWR, 0666)
if err != nil {
if errors.Is(err, fs.ErrPermission) {
return fmt.Errorf("Radeon card detected, but permissions not set up properly. Either run ollama as root, or add you user account to the render group.")
} else if errors.Is(err, fs.ErrNotExist) {
// expected behavior without a radeon card
return nil
}
return fmt.Errorf("failed to check permission on /dev/kfd: %w", err)
}
fd.Close()
}
return nil
}

View File

@@ -1,36 +0,0 @@
package llm
import (
"embed"
"log"
"os"
"path/filepath"
"strings"
)
//go:embed llama.cpp/gguf/build/windows/*/lib/*.dll
var libEmbed embed.FS
func updatePath(dir string) {
tmpDir := filepath.Dir(dir)
pathComponents := strings.Split(os.Getenv("PATH"), ";")
i := 0
for _, comp := range pathComponents {
if strings.EqualFold(comp, dir) {
return
}
// Remove any other prior paths to our temp dir
if !strings.HasPrefix(strings.ToLower(comp), strings.ToLower(tmpDir)) {
pathComponents[i] = comp
i++
}
}
newPath := strings.Join(append([]string{dir}, pathComponents...), ";")
log.Printf("Updating PATH to %s", newPath)
os.Setenv("PATH", newPath)
}
func verifyDriverAccess() error {
// TODO if applicable
return nil
}

View File

@@ -6,7 +6,8 @@ import (
"errors"
"fmt"
"io"
"log"
"log/slog"
"slices"
)
type Command struct {
@@ -56,10 +57,20 @@ func Parse(reader io.Reader) ([]Command, error) {
command.Args = string(bytes.TrimSpace(fields[1]))
case "EMBED":
return nil, fmt.Errorf("deprecated command: EMBED is no longer supported, use the /embed API endpoint instead")
case "MESSAGE":
command.Name = string(bytes.ToLower(fields[0]))
fields = bytes.SplitN(fields[1], []byte(" "), 2)
if len(fields) < 2 {
return nil, fmt.Errorf("should be in the format <role> <message>")
}
if !slices.Contains([]string{"system", "user", "assistant"}, string(bytes.ToLower(fields[0]))) {
return nil, fmt.Errorf("role must be one of \"system\", \"user\", or \"assistant\"")
}
command.Args = fmt.Sprintf("%s: %s", string(bytes.ToLower(fields[0])), string(fields[1]))
default:
if !bytes.HasPrefix(fields[0], []byte("#")) {
// log a warning for unknown commands
log.Printf("WARNING: Unknown command: %s", fields[0])
slog.Warn(fmt.Sprintf("Unknown command: %s", fields[0]))
}
continue
}

98
parser/parser_test.go Normal file
View File

@@ -0,0 +1,98 @@
package parser
import (
"strings"
"testing"
"github.com/stretchr/testify/assert"
)
func Test_Parser(t *testing.T) {
input := `
FROM model1
ADAPTER adapter1
LICENSE MIT
PARAMETER param1 value1
PARAMETER param2 value2
TEMPLATE template1
`
reader := strings.NewReader(input)
commands, err := Parse(reader)
assert.Nil(t, err)
expectedCommands := []Command{
{Name: "model", Args: "model1"},
{Name: "adapter", Args: "adapter1"},
{Name: "license", Args: "MIT"},
{Name: "param1", Args: "value1"},
{Name: "param2", Args: "value2"},
{Name: "template", Args: "template1"},
}
assert.Equal(t, expectedCommands, commands)
}
func Test_Parser_NoFromLine(t *testing.T) {
input := `
PARAMETER param1 value1
PARAMETER param2 value2
`
reader := strings.NewReader(input)
_, err := Parse(reader)
assert.ErrorContains(t, err, "no FROM line")
}
func Test_Parser_MissingValue(t *testing.T) {
input := `
FROM foo
PARAMETER param1
`
reader := strings.NewReader(input)
_, err := Parse(reader)
assert.ErrorContains(t, err, "missing value for [param1]")
}
func Test_Parser_Messages(t *testing.T) {
input := `
FROM foo
MESSAGE system You are a Parser. Always Parse things.
MESSAGE user Hey there!
MESSAGE assistant Hello, I want to parse all the things!
`
reader := strings.NewReader(input)
commands, err := Parse(reader)
assert.Nil(t, err)
expectedCommands := []Command{
{Name: "model", Args: "foo"},
{Name: "message", Args: "system: You are a Parser. Always Parse things."},
{Name: "message", Args: "user: Hey there!"},
{Name: "message", Args: "assistant: Hello, I want to parse all the things!"},
}
assert.Equal(t, expectedCommands, commands)
}
func Test_Parser_Messages_BadRole(t *testing.T) {
input := `
FROM foo
MESSAGE badguy I'm a bad guy!
`
reader := strings.NewReader(input)
_, err := Parse(reader)
assert.ErrorContains(t, err, "role must be one of \"system\", \"user\", or \"assistant\"")
}

View File

@@ -77,7 +77,7 @@ func (p *Progress) Add(key string, state State) {
p.states = append(p.states, state)
}
func (p *Progress) render() error {
func (p *Progress) render() {
p.mu.Lock()
defer p.mu.Unlock()
@@ -101,8 +101,6 @@ func (p *Progress) render() error {
}
p.pos = len(p.states)
return nil
}
func (p *Progress) start() {

View File

@@ -25,10 +25,7 @@ func NewBuffer(prompt *Prompt) (*Buffer, error) {
return nil, err
}
lwidth := width - len(prompt.Prompt)
if prompt.UseAlt {
lwidth = width - len(prompt.AltPrompt)
}
lwidth := width - len(prompt.prompt())
b := &Buffer{
Pos: 0,
@@ -78,7 +75,7 @@ func (b *Buffer) MoveRight() {
if b.Pos < b.Size() {
b.Pos += 1
if b.Pos%b.LineWidth == 0 {
fmt.Printf(CursorDown + CursorBOL + cursorRightN(b.PromptSize()))
fmt.Printf(CursorDown + CursorBOL + cursorRightN(len(b.Prompt.prompt())))
} else {
fmt.Print(CursorRight)
}
@@ -109,7 +106,7 @@ func (b *Buffer) MoveToStart() {
fmt.Print(CursorUp)
}
}
fmt.Printf(CursorBOL + cursorRightN(b.PromptSize()))
fmt.Printf(CursorBOL + cursorRightN(len(b.Prompt.prompt())))
b.Pos = 0
}
}
@@ -123,7 +120,7 @@ func (b *Buffer) MoveToEnd() {
fmt.Print(CursorDown)
}
remainder := b.Size() % b.LineWidth
fmt.Printf(CursorBOL + cursorRightN(b.PromptSize()+remainder))
fmt.Printf(CursorBOL + cursorRightN(len(b.Prompt.prompt())+remainder))
} else {
fmt.Print(cursorRightN(b.Size() - b.Pos))
}
@@ -136,20 +133,6 @@ func (b *Buffer) Size() int {
return b.Buf.Size()
}
func min(n, m int) int {
if n > m {
return m
}
return n
}
func (b *Buffer) PromptSize() int {
if b.Prompt.UseAlt {
return len(b.Prompt.AltPrompt)
}
return len(b.Prompt.Prompt)
}
func (b *Buffer) Add(r rune) {
if b.Pos == b.Buf.Size() {
fmt.Printf("%c", r)
@@ -232,7 +215,7 @@ func (b *Buffer) Remove() {
remainingLines := (b.Size() - b.Pos) / b.LineWidth
fmt.Printf(cursorDownN(remainingLines+1) + CursorBOL + ClearToEOL)
place := b.Pos % b.LineWidth
fmt.Printf(cursorUpN(remainingLines+1) + cursorRightN(place+len(b.Prompt.Prompt)))
fmt.Printf(cursorUpN(remainingLines+1) + cursorRightN(place+len(b.Prompt.prompt())))
}
}
}
@@ -247,7 +230,7 @@ func (b *Buffer) Delete() {
remainingLines := (b.Size() - b.Pos) / b.LineWidth
fmt.Printf(cursorDownN(remainingLines) + CursorBOL + ClearToEOL)
place := b.Pos % b.LineWidth
fmt.Printf(cursorUpN(remainingLines) + cursorRightN(place+len(b.Prompt.Prompt)))
fmt.Printf(cursorUpN(remainingLines) + cursorRightN(place+len(b.Prompt.prompt())))
}
}
}
@@ -294,15 +277,15 @@ func (b *Buffer) DeleteWord() {
}
func (b *Buffer) ClearScreen() {
fmt.Printf(ClearScreen + CursorReset + b.Prompt.Prompt)
fmt.Printf(ClearScreen + CursorReset + b.Prompt.prompt())
if b.IsEmpty() {
ph := b.Prompt.Placeholder
ph := b.Prompt.placeholder()
fmt.Printf(ColorGrey + ph + cursorLeftN(len(ph)) + ColorDefault)
} else {
currPos := b.Pos
b.Pos = 0
b.drawRemaining()
fmt.Printf(CursorReset + cursorRightN(len(b.Prompt.Prompt)))
fmt.Printf(CursorReset + cursorRightN(len(b.Prompt.prompt())))
if currPos > 0 {
targetLine := currPos / b.LineWidth
if targetLine > 0 {
@@ -329,7 +312,7 @@ func (b *Buffer) IsEmpty() bool {
func (b *Buffer) Replace(r []rune) {
b.Pos = 0
b.Buf.Clear()
fmt.Printf(ClearLine + CursorBOL + b.Prompt.Prompt)
fmt.Printf(ClearLine + CursorBOL + b.Prompt.prompt())
for _, c := range r {
b.Add(c)
}

View File

@@ -23,7 +23,7 @@ type History struct {
func NewHistory() (*History, error) {
h := &History{
Buf: arraylist.New(),
Limit: 100, //resizeme
Limit: 100, // resizeme
Autosave: true,
Enabled: true,
}
@@ -49,7 +49,7 @@ func (h *History) Init() error {
h.Filename = path
f, err := os.OpenFile(path, os.O_CREATE|os.O_RDONLY, 0600)
f, err := os.OpenFile(path, os.O_CREATE|os.O_RDONLY, 0o600)
if err != nil {
if errors.Is(err, os.ErrNotExist) {
return nil
@@ -84,7 +84,7 @@ func (h *History) Add(l []rune) {
h.Compact()
h.Pos = h.Size()
if h.Autosave {
h.Save()
_ = h.Save()
}
}
@@ -132,7 +132,7 @@ func (h *History) Save() error {
tmpFile := h.Filename + ".tmp"
f, err := os.OpenFile(tmpFile, os.O_CREATE|os.O_WRONLY|os.O_TRUNC|os.O_APPEND, 0666)
f, err := os.OpenFile(tmpFile, os.O_CREATE|os.O_WRONLY|os.O_TRUNC|os.O_APPEND, 0o600)
if err != nil {
return err
}

View File

@@ -16,6 +16,20 @@ type Prompt struct {
UseAlt bool
}
func (p *Prompt) prompt() string {
if p.UseAlt {
return p.AltPrompt
}
return p.Prompt
}
func (p *Prompt) placeholder() string {
if p.UseAlt {
return p.AltPlaceholder
}
return p.Placeholder
}
type Terminal struct {
outchan chan rune
}
@@ -46,8 +60,9 @@ func New(prompt Prompt) (*Instance, error) {
}
func (i *Instance) Readline() (string, error) {
prompt := i.Prompt.Prompt
if i.Prompt.UseAlt || i.Pasting {
prompt := i.Prompt.prompt()
if i.Pasting {
// force alt prompt when pasting
prompt = i.Prompt.AltPrompt
}
fmt.Print(prompt)
@@ -57,6 +72,7 @@ func (i *Instance) Readline() (string, error) {
if err != nil {
return "", err
}
// nolint: errcheck
defer UnsetRawMode(fd, termios)
buf, _ := NewBuffer(i.Prompt)
@@ -71,10 +87,7 @@ func (i *Instance) Readline() (string, error) {
// don't show placeholder when pasting unless we're in multiline mode
showPlaceholder := !i.Pasting || i.Prompt.UseAlt
if buf.IsEmpty() && showPlaceholder {
ph := i.Prompt.Placeholder
if i.Prompt.UseAlt {
ph = i.Prompt.AltPlaceholder
}
ph := i.Prompt.placeholder()
fmt.Printf(ColorGrey + ph + fmt.Sprintf(CursorLeftN, len(ph)) + ColorDefault)
}

View File

@@ -11,7 +11,7 @@ func handleCharCtrlZ(fd int, termios *Termios) (string, error) {
return "", err
}
syscall.Kill(0, syscall.SIGSTOP)
_ = syscall.Kill(0, syscall.SIGSTOP)
// on resume...
return "", nil

View File

@@ -1,31 +1,46 @@
#!/bin/sh
set -eu
set -e
export VERSION=${VERSION:-0.0.0}
export VERSION=${VERSION:-$(git describe --tags --first-parent --abbrev=7 --long --dirty --always | sed -e "s/^v//g")}
export GOFLAGS="'-ldflags=-w -s \"-X=github.com/jmorganca/ollama/version.Version=$VERSION\" \"-X=github.com/jmorganca/ollama/server.mode=release\"'"
mkdir -p dist
for TARGETARCH in arm64 amd64; do
rm -rf llm/llama.cpp/build
GOOS=darwin GOARCH=$TARGETARCH go generate ./...
CGO_ENABLED=1 GOOS=darwin GOARCH=$TARGETARCH go build -o dist/ollama-darwin-$TARGETARCH
rm -rf llm/llama.cpp/*/build
CGO_ENABLED=1 GOOS=darwin GOARCH=$TARGETARCH go build -cover -o dist/ollama-darwin-$TARGETARCH-cov
done
lipo -create -output dist/ollama dist/ollama-darwin-*
rm -f dist/ollama-darwin-*
codesign --deep --force --options=runtime --sign "$APPLE_IDENTITY" --timestamp dist/ollama
lipo -create -output dist/ollama dist/ollama-darwin-arm64 dist/ollama-darwin-amd64
rm -f dist/ollama-darwin-arm64 dist/ollama-darwin-amd64
if [ -n "$APPLE_IDENTITY" ]; then
codesign --deep --force --options=runtime --sign "$APPLE_IDENTITY" --timestamp dist/ollama
else
echo "Skipping code signing - set APPLE_IDENTITY"
fi
chmod +x dist/ollama
# build and sign the mac app
# build and optionally sign the mac app
npm install --prefix app
npm run --prefix app make:sign
if [ -n "$APPLE_IDENTITY" ]; then
npm run --prefix app make:sign
else
npm run --prefix app make
fi
cp app/out/make/zip/darwin/universal/Ollama-darwin-universal-$VERSION.zip dist/Ollama-darwin.zip
# sign the binary and rename it
codesign -f --timestamp -s "$APPLE_IDENTITY" --identifier ai.ollama.ollama --options=runtime dist/ollama
if [ -n "$APPLE_IDENTITY" ]; then
codesign -f --timestamp -s "$APPLE_IDENTITY" --identifier ai.ollama.ollama --options=runtime dist/ollama
else
echo "WARNING: Skipping code signing - set APPLE_IDENTITY"
fi
ditto -c -k --keepParent dist/ollama dist/temp.zip
xcrun notarytool submit dist/temp.zip --wait --timeout 10m --apple-id $APPLE_ID --password $APPLE_PASSWORD --team-id $APPLE_TEAM_ID
if [ -n "$APPLE_IDENTITY" ]; then
xcrun notarytool submit dist/temp.zip --wait --timeout 10m --apple-id $APPLE_ID --password $APPLE_PASSWORD --team-id $APPLE_TEAM_ID
fi
mv dist/ollama dist/ollama-darwin
rm -f dist/temp.zip

View File

@@ -2,7 +2,7 @@
set -eu
export VERSION=${VERSION:-0.0.0}
export VERSION=${VERSION:-$(git describe --tags --first-parent --abbrev=7 --long --dirty --always | sed -e "s/^v//g")}
export GOFLAGS="'-ldflags=-w -s \"-X=github.com/jmorganca/ollama/version.Version=$VERSION\" \"-X=github.com/jmorganca/ollama/server.mode=release\"'"
docker build \
@@ -13,3 +13,13 @@ docker build \
-f Dockerfile \
-t ollama/ollama:$VERSION \
.
docker build \
--load \
--platform=linux/amd64 \
--build-arg=VERSION \
--build-arg=GOFLAGS \
--target runtime-rocm \
-f Dockerfile \
-t ollama/ollama:$VERSION-rocm \
.

View File

@@ -2,13 +2,24 @@
set -eu
export VERSION=${VERSION:-0.0.0}
export VERSION=${VERSION:-$(git describe --tags --first-parent --abbrev=7 --long --dirty --always | sed -e "s/^v//g")}
export GOFLAGS="'-ldflags=-w -s \"-X=github.com/jmorganca/ollama/version.Version=$VERSION\" \"-X=github.com/jmorganca/ollama/server.mode=release\"'"
BUILD_ARCH=${BUILD_ARCH:-"amd64 arm64"}
export AMDGPU_TARGETS=${AMDGPU_TARGETS:=""}
mkdir -p dist
for TARGETARCH in amd64 arm64; do
docker build --platform=linux/$TARGETARCH --build-arg=VERSION --build-arg=GOFLAGS --build-arg=CGO_CFLAGS -f Dockerfile.build -t builder:$TARGETARCH .
for TARGETARCH in ${BUILD_ARCH}; do
docker build \
--platform=linux/$TARGETARCH \
--build-arg=GOFLAGS \
--build-arg=CGO_CFLAGS \
--build-arg=OLLAMA_CUSTOM_CPU_DEFS \
--build-arg=AMDGPU_TARGETS \
--target build-$TARGETARCH \
-f Dockerfile \
-t builder:$TARGETARCH \
.
docker create --platform linux/$TARGETARCH --name builder-$TARGETARCH builder:$TARGETARCH
docker cp builder-$TARGETARCH:/go/src/github.com/jmorganca/ollama/ollama ./dist/ollama-linux-$TARGETARCH
docker rm builder-$TARGETARCH

View File

@@ -66,3 +66,7 @@ subprocess.check_call(['ssh', netloc, 'cd', path, ';', GoCmd, 'generate', './...
print("Building")
subprocess.check_call(['ssh', netloc, 'cd', path, ';', GoCmd, 'build', '.'])
print("Copying built result")
subprocess.check_call(['scp', netloc +":"+ path + "/ollama.exe", './dist/'])

View File

@@ -231,8 +231,8 @@ if ! check_gpu nvidia-smi || [ -z "$(nvidia-smi | grep -o "CUDA Version: [0-9]*\
case $OS_NAME in
centos|rhel) install_cuda_driver_yum 'rhel' $(echo $OS_VERSION | cut -d '.' -f 1) ;;
rocky) install_cuda_driver_yum 'rhel' $(echo $OS_VERSION | cut -c1) ;;
fedora) install_cuda_driver_yum $OS_NAME $OS_VERSION ;;
amzn) install_cuda_driver_yum 'fedora' '35' ;;
fedora) [ $OS_VERSION -lt '37' ] && install_cuda_driver_yum $OS_NAME $OS_VERSION || install_cuda_driver_yum $OS_NAME '37';;
amzn) install_cuda_driver_yum 'fedora' '37' ;;
debian) install_cuda_driver_apt $OS_NAME $OS_VERSION ;;
ubuntu) install_cuda_driver_apt $OS_NAME $(echo $OS_VERSION | sed 's/\.//') ;;
*) exit ;;

43
scripts/rh_linux_deps.sh Normal file
View File

@@ -0,0 +1,43 @@
#!/bin/sh
# Script for common Dockerfile dependency installation in redhat linux based images
set -ex
MACHINE=$(uname -m)
if grep -i "centos" /etc/system-release >/dev/null; then
# Centos 7 derivatives have too old of a git version to run our generate script
# uninstall and ignore failures
yum remove -y git
yum -y install epel-release centos-release-scl
yum -y install dnf
if [ "${MACHINE}" = "x86_64" ]; then
yum -y install https://repo.ius.io/ius-release-el7.rpm
dnf install -y git236
else
dnf install -y rh-git227-git
ln -s /opt/rh/rh-git227/root/usr/bin/git /usr/local/bin/git
fi
dnf install -y devtoolset-10-gcc devtoolset-10-gcc-c++
elif grep -i "rocky" /etc/system-release >/dev/null; then
dnf install -y git gcc-toolset-10-gcc gcc-toolset-10-gcc-c++
else
echo "ERROR Unexpected distro"
exit 1
fi
if [ -n "${CMAKE_VERSION}" ]; then
curl -s -L https://github.com/Kitware/CMake/releases/download/v${CMAKE_VERSION}/cmake-${CMAKE_VERSION}-linux-$(uname -m).tar.gz | tar -zx -C /usr --strip-components 1
fi
if [ -n "${GOLANG_VERSION}" ]; then
if [ "${MACHINE}" = "x86_64" ]; then
GO_ARCH="amd64"
else
GO_ARCH="arm64"
fi
mkdir -p /usr/local
curl -s -L https://dl.google.com/go/go${GOLANG_VERSION}.linux-${GO_ARCH}.tar.gz | tar xz -C /usr/local
ln -s /usr/local/go/bin/go /usr/local/bin/go
ln -s /usr/local/go/bin/gofmt /usr/local/bin/gofmt
fi

View File

@@ -10,7 +10,7 @@ import (
"encoding/json"
"fmt"
"io"
"log"
"log/slog"
"net/http"
"net/url"
"os"
@@ -86,7 +86,7 @@ func getAuthToken(ctx context.Context, redirData AuthRedirect) (string, error) {
rawKey, err := os.ReadFile(keyPath)
if err != nil {
log.Printf("Failed to load private key: %v", err)
slog.Info(fmt.Sprintf("Failed to load private key: %v", err))
return "", err
}
@@ -105,7 +105,7 @@ func getAuthToken(ctx context.Context, redirData AuthRedirect) (string, error) {
headers.Set("Authorization", sig)
resp, err := makeRequest(ctx, http.MethodGet, redirectURL, headers, nil, nil)
if err != nil {
log.Printf("couldn't get token: %q", err)
slog.Info(fmt.Sprintf("couldn't get token: %q", err))
return "", err
}
defer resp.Body.Close()
@@ -147,12 +147,7 @@ func (s SignatureData) Bytes() []byte {
// SignData takes a SignatureData object and signs it with a raw private key
func (s SignatureData) Sign(rawKey []byte) (string, error) {
privateKey, err := ssh.ParseRawPrivateKey(rawKey)
if err != nil {
return "", err
}
signer, err := ssh.NewSignerFromKey(privateKey)
signer, err := ssh.ParsePrivateKey(rawKey)
if err != nil {
return "", err
}

View File

@@ -6,7 +6,7 @@ import (
"errors"
"fmt"
"io"
"log"
"log/slog"
"math"
"net/http"
"net/url"
@@ -25,6 +25,11 @@ import (
"github.com/jmorganca/ollama/format"
)
const maxRetries = 6
var errMaxRetriesExceeded = errors.New("max retries exceeded")
var errPartStalled = errors.New("part stalled")
var blobDownloadManager sync.Map
type blobDownload struct {
@@ -44,10 +49,11 @@ type blobDownload struct {
}
type blobDownloadPart struct {
N int
Offset int64
Size int64
Completed int64
N int
Offset int64
Size int64
Completed int64
lastUpdated time.Time
*blobDownload `json:"-"`
}
@@ -72,6 +78,13 @@ func (p *blobDownloadPart) StopsAt() int64 {
return p.Offset + p.Size
}
func (p *blobDownloadPart) Write(b []byte) (n int, err error) {
n = len(b)
p.blobDownload.Completed.Add(int64(n))
p.lastUpdated = time.Now()
return n, nil
}
func (b *blobDownload) Prepare(ctx context.Context, requestURL *url.URL, opts *RegistryOptions) error {
partFilePaths, err := filepath.Glob(b.Name + "-partial-*")
if err != nil {
@@ -98,7 +111,7 @@ func (b *blobDownload) Prepare(ctx context.Context, requestURL *url.URL, opts *R
b.Total, _ = strconv.ParseInt(resp.Header.Get("Content-Length"), 10, 64)
var size = b.Total / numDownloadParts
size := b.Total / numDownloadParts
switch {
case size < minDownloadPartSize:
size = minDownloadPartSize
@@ -120,7 +133,7 @@ func (b *blobDownload) Prepare(ctx context.Context, requestURL *url.URL, opts *R
}
}
log.Printf("downloading %s in %d %s part(s)", b.Digest[7:19], len(b.Parts), format.HumanBytes(b.Parts[0].Size))
slog.Info(fmt.Sprintf("downloading %s in %d %s part(s)", b.Digest[7:19], len(b.Parts), format.HumanBytes(b.Parts[0].Size)))
return nil
}
@@ -132,13 +145,13 @@ func (b *blobDownload) run(ctx context.Context, requestURL *url.URL, opts *Regis
defer blobDownloadManager.Delete(b.Digest)
ctx, b.CancelFunc = context.WithCancel(ctx)
file, err := os.OpenFile(b.Name+"-partial", os.O_CREATE|os.O_RDWR, 0644)
file, err := os.OpenFile(b.Name+"-partial", os.O_CREATE|os.O_RDWR, 0o644)
if err != nil {
return err
}
defer file.Close()
file.Truncate(b.Total)
_ = file.Truncate(b.Total)
g, inner := errgroup.WithContext(ctx)
g.SetLimit(numDownloadParts)
@@ -157,9 +170,12 @@ func (b *blobDownload) run(ctx context.Context, requestURL *url.URL, opts *Regis
case errors.Is(err, context.Canceled), errors.Is(err, syscall.ENOSPC):
// return immediately if the context is canceled or the device is out of space
return err
case errors.Is(err, errPartStalled):
try--
continue
case err != nil:
sleep := time.Second * time.Duration(math.Pow(2, float64(try)))
log.Printf("%s part %d attempt %d failed: %v, retrying in %s", b.Digest[7:19], part.N, try, err, sleep)
slog.Info(fmt.Sprintf("%s part %d attempt %d failed: %v, retrying in %s", b.Digest[7:19], part.N, try, err, sleep))
time.Sleep(sleep)
continue
default:
@@ -195,28 +211,54 @@ func (b *blobDownload) run(ctx context.Context, requestURL *url.URL, opts *Regis
}
func (b *blobDownload) downloadChunk(ctx context.Context, requestURL *url.URL, w io.Writer, part *blobDownloadPart, opts *RegistryOptions) error {
headers := make(http.Header)
headers.Set("Range", fmt.Sprintf("bytes=%d-%d", part.StartsAt(), part.StopsAt()-1))
resp, err := makeRequestWithRetry(ctx, http.MethodGet, requestURL, headers, nil, opts)
if err != nil {
return err
}
defer resp.Body.Close()
g, ctx := errgroup.WithContext(ctx)
g.Go(func() error {
headers := make(http.Header)
headers.Set("Range", fmt.Sprintf("bytes=%d-%d", part.StartsAt(), part.StopsAt()-1))
resp, err := makeRequestWithRetry(ctx, http.MethodGet, requestURL, headers, nil, opts)
if err != nil {
return err
}
defer resp.Body.Close()
n, err := io.Copy(w, io.TeeReader(resp.Body, b))
if err != nil && !errors.Is(err, context.Canceled) && !errors.Is(err, io.ErrUnexpectedEOF) {
// rollback progress
b.Completed.Add(-n)
return err
}
n, err := io.Copy(w, io.TeeReader(resp.Body, part))
if err != nil && !errors.Is(err, context.Canceled) && !errors.Is(err, io.ErrUnexpectedEOF) {
// rollback progress
b.Completed.Add(-n)
return err
}
part.Completed += n
if err := b.writePart(part.Name(), part); err != nil {
return err
}
part.Completed += n
if err := b.writePart(part.Name(), part); err != nil {
return err
}
// return nil or context.Canceled or UnexpectedEOF (resumable)
return err
// return nil or context.Canceled or UnexpectedEOF (resumable)
return err
})
g.Go(func() error {
ticker := time.NewTicker(time.Second)
for {
select {
case <-ticker.C:
if part.Completed >= part.Size {
return nil
}
if !part.lastUpdated.IsZero() && time.Since(part.lastUpdated) > 5*time.Second {
slog.Info(fmt.Sprintf("%s part %d stalled; retrying", b.Digest[7:19], part.N))
// reset last updated
part.lastUpdated = time.Time{}
return errPartStalled
}
case <-ctx.Done():
return ctx.Err()
}
}
})
return g.Wait()
}
func (b *blobDownload) newPart(offset, size int64) error {
@@ -246,7 +288,7 @@ func (b *blobDownload) readPart(partName string) (*blobDownloadPart, error) {
}
func (b *blobDownload) writePart(partName string, part *blobDownloadPart) error {
partFile, err := os.OpenFile(partName, os.O_CREATE|os.O_RDWR|os.O_TRUNC, 0644)
partFile, err := os.OpenFile(partName, os.O_CREATE|os.O_RDWR|os.O_TRUNC, 0o644)
if err != nil {
return err
}
@@ -255,12 +297,6 @@ func (b *blobDownload) writePart(partName string, part *blobDownloadPart) error
return json.NewEncoder(partFile).Encode(part)
}
func (b *blobDownload) Write(p []byte) (n int, err error) {
n = len(p)
b.Completed.Add(int64(n))
return n, nil
}
func (b *blobDownload) acquire() {
b.references.Add(1)
}
@@ -279,20 +315,19 @@ func (b *blobDownload) Wait(ctx context.Context, fn func(api.ProgressResponse))
for {
select {
case <-ticker.C:
fn(api.ProgressResponse{
Status: fmt.Sprintf("pulling %s", b.Digest[7:19]),
Digest: b.Digest,
Total: b.Total,
Completed: b.Completed.Load(),
})
if b.done || b.err != nil {
return b.err
}
case <-ctx.Done():
return ctx.Err()
}
fn(api.ProgressResponse{
Status: fmt.Sprintf("pulling %s", b.Digest[7:19]),
Digest: b.Digest,
Total: b.Total,
Completed: b.Completed.Load(),
})
if b.done || b.err != nil {
return b.err
}
}
}
@@ -303,10 +338,6 @@ type downloadOpts struct {
fn func(api.ProgressResponse)
}
const maxRetries = 6
var errMaxRetriesExceeded = errors.New("max retries exceeded")
// downloadBlob downloads a blob from the registry and stores it in the blobs directory
func downloadBlob(ctx context.Context, opts downloadOpts) error {
fp, err := GetBlobsPath(opts.digest)
@@ -340,6 +371,7 @@ func downloadBlob(ctx context.Context, opts downloadOpts) error {
return err
}
// nolint: contextcheck
go download.Run(context.Background(), requestURL, opts.regOpts)
}

View File

@@ -10,6 +10,7 @@ import (
"fmt"
"io"
"log"
"log/slog"
"net/http"
"net/url"
"os"
@@ -40,7 +41,7 @@ type Model struct {
Config ConfigV2
ShortName string
ModelPath string
OriginalModel string
ParentModel string
AdapterPaths []string
ProjectorPaths []string
Template string
@@ -49,6 +50,12 @@ type Model struct {
Digest string
Size int64
Options map[string]interface{}
Messages []Message
}
type Message struct {
Role string `json:"role"`
Content string `json:"content"`
}
type PromptVars struct {
@@ -56,6 +63,7 @@ type PromptVars struct {
Prompt string
Response string
First bool
Images []llm.ImageData
}
// extractParts extracts the parts of the template before and after the {{.Response}} node.
@@ -112,10 +120,6 @@ func Prompt(promptTemplate string, p PromptVars) (string, error) {
// PreResponsePrompt returns the prompt before the response tag
func (m *Model) PreResponsePrompt(p PromptVars) (string, error) {
if p.System == "" {
// use the default system prompt for this model if one is not specified
p.System = m.System
}
pre, _, err := extractParts(m.Template)
if err != nil {
return "", err
@@ -143,62 +147,68 @@ func (m *Model) PostResponseTemplate(p PromptVars) (string, error) {
return Prompt(post, p)
}
func (m *Model) ChatPrompt(msgs []api.Message) (string, []api.ImageData, error) {
type ChatHistory struct {
Prompts []PromptVars
LastSystem string
}
// ChatPrompts returns a list of formatted chat prompts from a list of messages
func (m *Model) ChatPrompts(msgs []api.Message) (*ChatHistory, error) {
// build the prompt from the list of messages
var prompt strings.Builder
var currentImages []api.ImageData
lastSystem := m.System
currentVars := PromptVars{
First: true,
System: m.System,
}
writePrompt := func() error {
p, err := Prompt(m.Template, currentVars)
if err != nil {
return err
}
prompt.WriteString(p)
currentVars = PromptVars{}
return nil
}
prompts := []PromptVars{}
var images []llm.ImageData
for _, msg := range msgs {
switch strings.ToLower(msg.Role) {
case "system":
if currentVars.System != "" {
if err := writePrompt(); err != nil {
return "", nil, err
}
// if this is the first message it overrides the system prompt in the modelfile
if !currentVars.First && currentVars.System != "" {
prompts = append(prompts, currentVars)
currentVars = PromptVars{}
}
currentVars.System = msg.Content
lastSystem = msg.Content
case "user":
if currentVars.Prompt != "" {
if err := writePrompt(); err != nil {
return "", nil, err
}
prompts = append(prompts, currentVars)
currentVars = PromptVars{}
}
currentVars.Prompt = msg.Content
currentImages = msg.Images
for i := range msg.Images {
id := len(images) + i
currentVars.Prompt += fmt.Sprintf(" [img-%d]", id)
currentVars.Images = append(currentVars.Images, llm.ImageData{
ID: id,
Data: msg.Images[i],
})
}
images = append(images, currentVars.Images...)
case "assistant":
currentVars.Response = msg.Content
if err := writePrompt(); err != nil {
return "", nil, err
}
prompts = append(prompts, currentVars)
currentVars = PromptVars{}
default:
return "", nil, fmt.Errorf("invalid role: %s, role must be one of [system, user, assistant]", msg.Role)
return nil, fmt.Errorf("invalid role: %s, role must be one of [system, user, assistant]", msg.Role)
}
}
// Append the last set of vars if they are non-empty
if currentVars.Prompt != "" || currentVars.System != "" {
p, err := m.PreResponsePrompt(currentVars)
if err != nil {
return "", nil, fmt.Errorf("pre-response template: %w", err)
}
prompt.WriteString(p)
prompts = append(prompts, currentVars)
}
return prompt.String(), currentImages, nil
return &ChatHistory{
Prompts: prompts,
LastSystem: lastSystem,
}, nil
}
type ManifestV2 struct {
@@ -332,11 +342,11 @@ func GetModel(name string) (*Model, error) {
switch layer.MediaType {
case "application/vnd.ollama.image.model":
model.ModelPath = filename
model.OriginalModel = layer.From
model.ParentModel = layer.From
case "application/vnd.ollama.image.embed":
// Deprecated in versions > 0.1.2
// TODO: remove this warning in a future version
log.Print("WARNING: model contains embeddings, but embeddings in modelfiles have been deprecated and will be ignored.")
slog.Info("WARNING: model contains embeddings, but embeddings in modelfiles have been deprecated and will be ignored.")
case "application/vnd.ollama.image.adapter":
model.AdapterPaths = append(model.AdapterPaths, filename)
case "application/vnd.ollama.image.projector":
@@ -373,6 +383,16 @@ func GetModel(name string) (*Model, error) {
if err = json.NewDecoder(params).Decode(&model.Options); err != nil {
return nil, err
}
case "application/vnd.ollama.image.messages":
msgs, err := os.Open(filename)
if err != nil {
return nil, err
}
defer msgs.Close()
if err = json.NewDecoder(msgs).Decode(&model.Messages); err != nil {
return nil, err
}
case "application/vnd.ollama.image.license":
bts, err := os.ReadFile(filename)
if err != nil {
@@ -411,6 +431,13 @@ func realpath(mfDir, from string) string {
}
func CreateModel(ctx context.Context, name, modelFileDir string, commands []parser.Command, fn func(resp api.ProgressResponse)) error {
deleteMap := make(map[string]struct{})
if manifest, _, err := GetManifest(ParseModelPath(name)); err == nil {
for _, layer := range append(manifest.Layers, manifest.Config) {
deleteMap[layer.Digest] = struct{}{}
}
}
config := ConfigV2{
OS: "linux",
Architecture: "amd64",
@@ -419,15 +446,13 @@ func CreateModel(ctx context.Context, name, modelFileDir string, commands []pars
},
}
deleteMap := make(map[string]struct{})
var layers Layers
messages := []string{}
params := make(map[string][]string)
fromParams := make(map[string]any)
for _, c := range commands {
log.Printf("[%s] - %s", c.Name, c.Args)
mediatype := fmt.Sprintf("application/vnd.ollama.image.%s", c.Name)
switch c.Name {
@@ -478,32 +503,6 @@ func CreateModel(ctx context.Context, name, modelFileDir string, commands []pars
return err
}
// if the model is not in gguf format, pull the base model to try and get it in gguf format
if fromConfig.ModelFormat != "gguf" {
fn(api.ProgressResponse{Status: "updating base model"})
parent, err := GetModel(c.Args)
if err != nil {
return err
}
originalModel := parent.OriginalModel
if originalModel == "" {
originalModel = parent.ShortName
}
if err := PullModel(ctx, originalModel, &RegistryOptions{}, fn); err != nil {
log.Printf("error pulling parent model: %v", err)
}
// Reset the file pointer to the beginning of the file
_, err = fromConfigFile.Seek(0, 0)
if err != nil {
return fmt.Errorf("update from config after pull: %w", err)
}
if err := json.NewDecoder(fromConfigFile).Decode(&fromConfig); err != nil {
return err
}
}
// if the model is still not in gguf format, error out
if fromConfig.ModelFormat != "gguf" {
return fmt.Errorf("%s is not in gguf format, this base model is not compatible with this version of ollama", c.Args)
@@ -627,11 +626,37 @@ func CreateModel(ctx context.Context, name, modelFileDir string, commands []pars
}
layers.Replace(layer)
case "message":
messages = append(messages, c.Args)
default:
params[c.Name] = append(params[c.Name], c.Args)
}
}
if len(messages) > 0 {
fn(api.ProgressResponse{Status: "creating parameters layer"})
msgs := make([]api.Message, 0)
for _, m := range messages {
// todo: handle images
msg := strings.SplitN(m, ": ", 2)
msgs = append(msgs, api.Message{Role: msg[0], Content: msg[1]})
}
var b bytes.Buffer
if err := json.NewEncoder(&b).Encode(msgs); err != nil {
return err
}
layer, err := NewLayer(&b, "application/vnd.ollama.image.messages")
if err != nil {
return err
}
layers.Replace(layer)
}
if len(params) > 0 {
fn(api.ProgressResponse{Status: "creating parameters layer"})
@@ -773,6 +798,7 @@ func deleteUnusedLayers(skipModelPath *ModelPath, deleteMap map[string]struct{},
// save (i.e. delete from the deleteMap) any files used in other manifests
manifest, _, err := GetManifest(fmp)
if err != nil {
// nolint: nilerr
return nil
}
@@ -792,16 +818,16 @@ func deleteUnusedLayers(skipModelPath *ModelPath, deleteMap map[string]struct{},
for k := range deleteMap {
fp, err := GetBlobsPath(k)
if err != nil {
log.Printf("couldn't get file path for '%s': %v", k, err)
slog.Info(fmt.Sprintf("couldn't get file path for '%s': %v", k, err))
continue
}
if !dryRun {
if err := os.Remove(fp); err != nil {
log.Printf("couldn't remove file '%s': %v", fp, err)
slog.Info(fmt.Sprintf("couldn't remove file '%s': %v", fp, err))
continue
}
} else {
log.Printf("wanted to remove: %s", fp)
slog.Info(fmt.Sprintf("wanted to remove: %s", fp))
}
}
@@ -817,7 +843,7 @@ func PruneLayers() error {
blobs, err := os.ReadDir(p)
if err != nil {
log.Printf("couldn't read dir '%s': %v", p, err)
slog.Info(fmt.Sprintf("couldn't read dir '%s': %v", p, err))
return err
}
@@ -831,14 +857,14 @@ func PruneLayers() error {
}
}
log.Printf("total blobs: %d", len(deleteMap))
slog.Info(fmt.Sprintf("total blobs: %d", len(deleteMap)))
err = deleteUnusedLayers(nil, deleteMap, false)
if err != nil {
return err
}
log.Printf("total unused blobs removed: %d", len(deleteMap))
slog.Info(fmt.Sprintf("total unused blobs removed: %d", len(deleteMap)))
return nil
}
@@ -900,7 +926,7 @@ func DeleteModel(name string) error {
}
err = os.Remove(fp)
if err != nil {
log.Printf("couldn't remove manifest file '%s': %v", fp, err)
slog.Info(fmt.Sprintf("couldn't remove manifest file '%s': %v", fp, err))
return err
}
@@ -927,8 +953,8 @@ func ShowModelfile(model *Model) (string, error) {
mt.Model = model
mt.From = model.ModelPath
if model.OriginalModel != "" {
mt.From = model.OriginalModel
if model.ParentModel != "" {
mt.From = model.ParentModel
}
modelFile := `# Modelfile generated by "ollama show"
@@ -954,14 +980,14 @@ PARAMETER {{ $k }} {{ printf "%#v" $parameter }}
tmpl, err := template.New("").Parse(modelFile)
if err != nil {
log.Printf("error parsing template: %q", err)
slog.Info(fmt.Sprintf("error parsing template: %q", err))
return "", err
}
var buf bytes.Buffer
if err = tmpl.Execute(&buf, mt); err != nil {
log.Printf("error executing template: %q", err)
slog.Info(fmt.Sprintf("error executing template: %q", err))
return "", err
}
@@ -988,7 +1014,7 @@ func PushModel(ctx context.Context, name string, regOpts *RegistryOptions, fn fu
for _, layer := range layers {
if err := uploadBlob(ctx, mp, layer, regOpts, fn); err != nil {
log.Printf("error uploading blob: %v", err)
slog.Info(fmt.Sprintf("error uploading blob: %v", err))
if errors.Is(err, errUnauthorized) {
return fmt.Errorf("unable to push %s, make sure this namespace exists and you are authorized to push to it", ParseModelPath(name).GetNamespaceRepository())
}
@@ -1083,7 +1109,7 @@ func PullModel(ctx context.Context, name string, regOpts *RegistryOptions, fn fu
}
if err := os.Remove(fp); err != nil {
// log this, but return the original error
log.Printf("couldn't remove file with digest mismatch '%s': %v", fp, err)
slog.Info(fmt.Sprintf("couldn't remove file with digest mismatch '%s': %v", fp, err))
}
}
return err
@@ -1107,7 +1133,7 @@ func PullModel(ctx context.Context, name string, regOpts *RegistryOptions, fn fu
err = os.WriteFile(fp, manifestJSON, 0o644)
if err != nil {
log.Printf("couldn't write to %s", fp)
slog.Info(fmt.Sprintf("couldn't write to %s", fp))
return err
}
@@ -1157,49 +1183,46 @@ func GetSHA256Digest(r io.Reader) (string, int64) {
var errUnauthorized = fmt.Errorf("unauthorized")
func makeRequestWithRetry(ctx context.Context, method string, requestURL *url.URL, headers http.Header, body io.ReadSeeker, regOpts *RegistryOptions) (*http.Response, error) {
resp, err := makeRequest(ctx, method, requestURL, headers, body, regOpts)
if err != nil {
if !errors.Is(err, context.Canceled) {
log.Printf("request failed: %v", err)
}
return nil, err
}
switch {
case resp.StatusCode == http.StatusUnauthorized:
// Handle authentication error with one retry
auth := resp.Header.Get("www-authenticate")
authRedir := ParseAuthRedirectString(auth)
token, err := getAuthToken(ctx, authRedir)
for i := 0; i < 2; i++ {
resp, err := makeRequest(ctx, method, requestURL, headers, body, regOpts)
if err != nil {
if !errors.Is(err, context.Canceled) {
slog.Info(fmt.Sprintf("request failed: %v", err))
}
return nil, err
}
regOpts.Token = token
if body != nil {
_, err = body.Seek(0, io.SeekStart)
switch {
case resp.StatusCode == http.StatusUnauthorized:
// Handle authentication error with one retry
auth := resp.Header.Get("www-authenticate")
authRedir := ParseAuthRedirectString(auth)
token, err := getAuthToken(ctx, authRedir)
if err != nil {
return nil, err
}
regOpts.Token = token
if body != nil {
_, err = body.Seek(0, io.SeekStart)
if err != nil {
return nil, err
}
}
case resp.StatusCode == http.StatusNotFound:
return nil, os.ErrNotExist
case resp.StatusCode >= http.StatusBadRequest:
responseBody, err := io.ReadAll(resp.Body)
if err != nil {
return nil, fmt.Errorf("%d: %s", resp.StatusCode, err)
}
return nil, fmt.Errorf("%d: %s", resp.StatusCode, responseBody)
default:
return resp, nil
}
resp, err := makeRequest(ctx, method, requestURL, headers, body, regOpts)
if resp.StatusCode == http.StatusUnauthorized {
return nil, errUnauthorized
}
return resp, err
case resp.StatusCode == http.StatusNotFound:
return nil, os.ErrNotExist
case resp.StatusCode >= http.StatusBadRequest:
responseBody, err := io.ReadAll(resp.Body)
if err != nil {
return nil, fmt.Errorf("%d: %s", resp.StatusCode, err)
}
return nil, fmt.Errorf("%d: %s", resp.StatusCode, responseBody)
}
return resp, nil
return nil, errUnauthorized
}
func makeRequest(ctx context.Context, method string, requestURL *url.URL, headers http.Header, body io.Reader, regOpts *RegistryOptions) (*http.Response, error) {

View File

@@ -1,6 +1,7 @@
package server
import (
"bytes"
"strings"
"testing"
@@ -233,17 +234,58 @@ func TestModel_PreResponsePrompt_PostResponsePrompt(t *testing.T) {
}
}
func chatHistoryEqual(a, b ChatHistory) bool {
if len(a.Prompts) != len(b.Prompts) {
return false
}
for i, v := range a.Prompts {
if v.First != b.Prompts[i].First {
return false
}
if v.Response != b.Prompts[i].Response {
return false
}
if v.Prompt != b.Prompts[i].Prompt {
return false
}
if v.System != b.Prompts[i].System {
return false
}
if len(v.Images) != len(b.Prompts[i].Images) {
return false
}
for j, img := range v.Images {
if img.ID != b.Prompts[i].Images[j].ID {
return false
}
if !bytes.Equal(img.Data, b.Prompts[i].Images[j].Data) {
return false
}
}
}
return a.LastSystem == b.LastSystem
}
func TestChat(t *testing.T) {
tests := []struct {
name string
template string
msgs []api.Message
want string
wantErr string
name string
model Model
msgs []api.Message
want ChatHistory
wantErr string
}{
{
name: "Single Message",
template: "[INST] {{ .System }} {{ .Prompt }} [/INST]",
name: "Single Message",
model: Model{
Template: "[INST] {{ .System }} {{ .Prompt }} [/INST]",
},
msgs: []api.Message{
{
Role: "system",
@@ -254,34 +296,22 @@ func TestChat(t *testing.T) {
Content: "What are the potion ingredients?",
},
},
want: "[INST] You are a Wizard. What are the potion ingredients? [/INST]",
},
{
name: "First Message",
template: "[INST] {{if .First}}Hello!{{end}} {{ .System }} {{ .Prompt }} [/INST]",
msgs: []api.Message{
{
Role: "system",
Content: "You are a Wizard.",
},
{
Role: "user",
Content: "What are the potion ingredients?",
},
{
Role: "assistant",
Content: "eye of newt",
},
{
Role: "user",
Content: "Anything else?",
want: ChatHistory{
Prompts: []PromptVars{
{
System: "You are a Wizard.",
Prompt: "What are the potion ingredients?",
First: true,
},
},
LastSystem: "You are a Wizard.",
},
want: "[INST] Hello! You are a Wizard. What are the potion ingredients? [/INST]eye of newt[INST] Anything else? [/INST]",
},
{
name: "Message History",
template: "[INST] {{ .System }} {{ .Prompt }} [/INST]",
name: "Message History",
model: Model{
Template: "[INST] {{ .System }} {{ .Prompt }} [/INST]",
},
msgs: []api.Message{
{
Role: "system",
@@ -300,18 +330,85 @@ func TestChat(t *testing.T) {
Content: "Anything else?",
},
},
want: "[INST] You are a Wizard. What are the potion ingredients? [/INST]sugar[INST] Anything else? [/INST]",
want: ChatHistory{
Prompts: []PromptVars{
{
System: "You are a Wizard.",
Prompt: "What are the potion ingredients?",
Response: "sugar",
First: true,
},
{
Prompt: "Anything else?",
},
},
LastSystem: "You are a Wizard.",
},
},
{
name: "Assistant Only",
template: "[INST] {{ .System }} {{ .Prompt }} [/INST]",
name: "Assistant Only",
model: Model{
Template: "[INST] {{ .System }} {{ .Prompt }} [/INST]",
},
msgs: []api.Message{
{
Role: "assistant",
Content: "everything nice",
},
},
want: "[INST] [/INST]everything nice",
want: ChatHistory{
Prompts: []PromptVars{
{
Response: "everything nice",
First: true,
},
},
},
},
{
name: "Last system message is preserved from modelfile",
model: Model{
Template: "[INST] {{ .System }} {{ .Prompt }} [/INST]",
System: "You are Mojo Jojo.",
},
msgs: []api.Message{
{
Role: "user",
Content: "hi",
},
},
want: ChatHistory{
Prompts: []PromptVars{
{
System: "You are Mojo Jojo.",
Prompt: "hi",
First: true,
},
},
LastSystem: "You are Mojo Jojo.",
},
},
{
name: "Last system message is preserved from messages",
model: Model{
Template: "[INST] {{ .System }} {{ .Prompt }} [/INST]",
System: "You are Mojo Jojo.",
},
msgs: []api.Message{
{
Role: "system",
Content: "You are Professor Utonium.",
},
},
want: ChatHistory{
Prompts: []PromptVars{
{
System: "You are Professor Utonium.",
First: true,
},
},
LastSystem: "You are Professor Utonium.",
},
},
{
name: "Invalid Role",
@@ -326,11 +423,8 @@ func TestChat(t *testing.T) {
}
for _, tt := range tests {
m := Model{
Template: tt.template,
}
t.Run(tt.name, func(t *testing.T) {
got, _, err := m.ChatPrompt(tt.msgs)
got, err := tt.model.ChatPrompts(tt.msgs)
if tt.wantErr != "" {
if err == nil {
t.Errorf("ChatPrompt() expected error, got nil")
@@ -338,9 +432,10 @@ func TestChat(t *testing.T) {
if !strings.Contains(err.Error(), tt.wantErr) {
t.Errorf("ChatPrompt() error = %v, wantErr %v", err, tt.wantErr)
}
return
}
if got != tt.want {
t.Errorf("ChatPrompt() got = %v, want %v", got, tt.want)
if !chatHistoryEqual(*got, tt.want) {
t.Errorf("ChatPrompt() got = %#v, want %#v", got, tt.want)
}
})
}

View File

@@ -26,9 +26,9 @@ func WriteManifest(name string, config *Layer, layers []*Layer) error {
return err
}
if err := os.MkdirAll(filepath.Dir(manifestPath), 0755); err != nil {
if err := os.MkdirAll(filepath.Dir(manifestPath), 0o755); err != nil {
return err
}
return os.WriteFile(manifestPath, b.Bytes(), 0644)
return os.WriteFile(manifestPath, b.Bytes(), 0o644)
}

View File

@@ -46,7 +46,8 @@ func ParseModelPath(name string) ModelPath {
name = after
}
parts := strings.Split(name, string(os.PathSeparator))
name = strings.ReplaceAll(name, string(os.PathSeparator), "/")
parts := strings.Split(name, "/")
switch len(parts) {
case 3:
mp.Registry = parts[0]

View File

@@ -7,7 +7,7 @@ import (
"fmt"
"io"
"io/fs"
"log"
"log/slog"
"net"
"net/http"
"os"
@@ -15,7 +15,6 @@ import (
"path/filepath"
"reflect"
"runtime"
"strconv"
"strings"
"sync"
"syscall"
@@ -74,7 +73,7 @@ func load(c *gin.Context, model *Model, opts api.Options, sessionDuration time.D
if needLoad {
if loaded.runner != nil {
log.Println("changing loaded model")
slog.Info("changing loaded model")
loaded.runner.Close()
loaded.runner = nil
loaded.Model = nil
@@ -187,7 +186,13 @@ func GenerateHandler(c *gin.Context) {
return
}
sessionDuration := defaultSessionDuration
var sessionDuration time.Duration
if req.KeepAlive == nil {
sessionDuration = defaultSessionDuration
} else {
sessionDuration = req.KeepAlive.Duration
}
if err := load(c, model, opts, sessionDuration); err != nil {
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
@@ -198,7 +203,8 @@ func GenerateHandler(c *gin.Context) {
c.JSON(http.StatusOK, api.GenerateResponse{
CreatedAt: time.Now().UTC(),
Model: req.Model,
Done: true})
Done: true,
})
return
}
@@ -233,6 +239,15 @@ func GenerateHandler(c *gin.Context) {
Prompt: req.Prompt,
First: len(req.Context) == 0,
}
if promptVars.System == "" {
promptVars.System = model.System
}
for i := range req.Images {
promptVars.Prompt += fmt.Sprintf(" [img-%d]", i)
}
p, err := model.PreResponsePrompt(promptVars)
if err != nil {
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
@@ -242,6 +257,8 @@ func GenerateHandler(c *gin.Context) {
prompt = rebuild.String()
}
slog.Debug("generate handler", "prompt", prompt)
ch := make(chan any)
var generated strings.Builder
go func() {
@@ -295,11 +312,19 @@ func GenerateHandler(c *gin.Context) {
ch <- resp
}
var images []llm.ImageData
for i := range req.Images {
images = append(images, llm.ImageData{
ID: i,
Data: req.Images[i],
})
}
// Start prediction
predictReq := llm.PredictOpts{
Prompt: prompt,
Format: req.Format,
Images: req.Images,
Images: images,
Options: opts,
}
if err := loaded.runner.Predict(c.Request.Context(), predictReq, fn); err != nil {
@@ -378,7 +403,14 @@ func EmbeddingHandler(c *gin.Context) {
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
sessionDuration := defaultSessionDuration
var sessionDuration time.Duration
if req.KeepAlive == nil {
sessionDuration = defaultSessionDuration
} else {
sessionDuration = req.KeepAlive.Duration
}
if err := load(c, model, opts, sessionDuration); err != nil {
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
@@ -391,7 +423,7 @@ func EmbeddingHandler(c *gin.Context) {
embedding, err := loaded.runner.Embedding(c.Request.Context(), req.Prompt)
if err != nil {
log.Printf("embedding generation failed: %v", err)
slog.Info(fmt.Sprintf("embedding generation failed: %v", err))
c.JSON(http.StatusInternalServerError, gin.H{"error": "failed to generate embedding"})
return
}
@@ -414,8 +446,13 @@ func PullModelHandler(c *gin.Context) {
return
}
if req.Name == "" {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "name is required"})
var model string
if req.Model != "" {
model = req.Model
} else if req.Name != "" {
model = req.Name
} else {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "model is required"})
return
}
@@ -433,7 +470,7 @@ func PullModelHandler(c *gin.Context) {
ctx, cancel := context.WithCancel(c.Request.Context())
defer cancel()
if err := PullModel(ctx, req.Name, regOpts, fn); err != nil {
if err := PullModel(ctx, model, regOpts, fn); err != nil {
ch <- gin.H{"error": err.Error()}
}
}()
@@ -458,8 +495,13 @@ func PushModelHandler(c *gin.Context) {
return
}
if req.Name == "" {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "name is required"})
var model string
if req.Model != "" {
model = req.Model
} else if req.Name != "" {
model = req.Name
} else {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "model is required"})
return
}
@@ -477,7 +519,7 @@ func PushModelHandler(c *gin.Context) {
ctx, cancel := context.WithCancel(c.Request.Context())
defer cancel()
if err := PushModel(ctx, req.Name, regOpts, fn); err != nil {
if err := PushModel(ctx, model, regOpts, fn); err != nil {
ch <- gin.H{"error": err.Error()}
}
}()
@@ -502,12 +544,17 @@ func CreateModelHandler(c *gin.Context) {
return
}
if req.Name == "" {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "name is required"})
var model string
if req.Model != "" {
model = req.Model
} else if req.Name != "" {
model = req.Name
} else {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "model is required"})
return
}
if err := ParseModelPath(req.Name).Validate(); err != nil {
if err := ParseModelPath(model).Validate(); err != nil {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": err.Error()})
return
}
@@ -545,7 +592,7 @@ func CreateModelHandler(c *gin.Context) {
ctx, cancel := context.WithCancel(c.Request.Context())
defer cancel()
if err := CreateModel(ctx, req.Name, filepath.Dir(req.Path), commands, fn); err != nil {
if err := CreateModel(ctx, model, filepath.Dir(req.Path), commands, fn); err != nil {
ch <- gin.H{"error": err.Error()}
}
}()
@@ -570,14 +617,19 @@ func DeleteModelHandler(c *gin.Context) {
return
}
if req.Name == "" {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "name is required"})
var model string
if req.Model != "" {
model = req.Model
} else if req.Name != "" {
model = req.Name
} else {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "model is required"})
return
}
if err := DeleteModel(req.Name); err != nil {
if err := DeleteModel(model); err != nil {
if os.IsNotExist(err) {
c.JSON(http.StatusNotFound, gin.H{"error": fmt.Sprintf("model '%s' not found", req.Name)})
c.JSON(http.StatusNotFound, gin.H{"error": fmt.Sprintf("model '%s' not found", model)})
} else {
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
}
@@ -610,15 +662,19 @@ func ShowModelHandler(c *gin.Context) {
return
}
if req.Name == "" {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "name is required"})
if req.Model != "" {
// noop
} else if req.Name != "" {
req.Model = req.Name
} else {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "model is required"})
return
}
resp, err := GetModelInfo(req.Name)
resp, err := GetModelInfo(req)
if err != nil {
if os.IsNotExist(err) {
c.JSON(http.StatusNotFound, gin.H{"error": fmt.Sprintf("model '%s' not found", req.Name)})
c.JSON(http.StatusNotFound, gin.H{"error": fmt.Sprintf("model '%s' not found", req.Model)})
} else {
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
}
@@ -628,13 +684,14 @@ func ShowModelHandler(c *gin.Context) {
c.JSON(http.StatusOK, resp)
}
func GetModelInfo(name string) (*api.ShowResponse, error) {
model, err := GetModel(name)
func GetModelInfo(req api.ShowRequest) (*api.ShowResponse, error) {
model, err := GetModel(req.Model)
if err != nil {
return nil, err
}
modelDetails := api.ModelDetails{
ParentModel: model.ParentModel,
Format: model.Config.ModelFormat,
Family: model.Config.ModelFamily,
Families: model.Config.ModelFamilies,
@@ -642,11 +699,45 @@ func GetModelInfo(name string) (*api.ShowResponse, error) {
QuantizationLevel: model.Config.FileType,
}
if req.System != "" {
model.System = req.System
}
if req.Template != "" {
model.Template = req.Template
}
msgs := make([]api.Message, 0)
for _, msg := range model.Messages {
msgs = append(msgs, api.Message{Role: msg.Role, Content: msg.Content})
}
resp := &api.ShowResponse{
License: strings.Join(model.License, "\n"),
System: model.System,
Template: model.Template,
Details: modelDetails,
Messages: msgs,
}
var params []string
cs := 30
for k, v := range model.Options {
switch val := v.(type) {
case []interface{}:
for _, nv := range val {
params = append(params, fmt.Sprintf("%-*s %#v", cs, k, nv))
}
default:
params = append(params, fmt.Sprintf("%-*s %#v", cs, k, v))
}
}
resp.Parameters = strings.Join(params, "\n")
for k, v := range req.Options {
if _, ok := req.Options[k]; ok {
model.Options[k] = v
}
}
mf, err := ShowModelfile(model)
@@ -656,41 +747,12 @@ func GetModelInfo(name string) (*api.ShowResponse, error) {
resp.Modelfile = mf
var params []string
cs := 30
for k, v := range model.Options {
switch val := v.(type) {
case string:
params = append(params, fmt.Sprintf("%-*s %s", cs, k, val))
case int:
params = append(params, fmt.Sprintf("%-*s %s", cs, k, strconv.Itoa(val)))
case float64:
params = append(params, fmt.Sprintf("%-*s %s", cs, k, strconv.FormatFloat(val, 'f', 0, 64)))
case bool:
params = append(params, fmt.Sprintf("%-*s %s", cs, k, strconv.FormatBool(val)))
case []interface{}:
for _, nv := range val {
switch nval := nv.(type) {
case string:
params = append(params, fmt.Sprintf("%-*s %s", cs, k, nval))
case int:
params = append(params, fmt.Sprintf("%-*s %s", cs, k, strconv.Itoa(nval)))
case float64:
params = append(params, fmt.Sprintf("%-*s %s", cs, k, strconv.FormatFloat(nval, 'f', 0, 64)))
case bool:
params = append(params, fmt.Sprintf("%-*s %s", cs, k, strconv.FormatBool(nval)))
}
}
}
}
resp.Parameters = strings.Join(params, "\n")
return resp, nil
}
func ListModelsHandler(c *gin.Context) {
models := make([]api.ModelResponse, 0)
fp, err := GetManifestPath()
manifestsPath, err := GetManifestPath()
if err != nil {
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
@@ -711,6 +773,7 @@ func ListModelsHandler(c *gin.Context) {
}
return api.ModelResponse{
Model: model.ShortName,
Name: model.ShortName,
Size: model.Size,
Digest: model.Digest,
@@ -720,13 +783,15 @@ func ListModelsHandler(c *gin.Context) {
walkFunc := func(path string, info os.FileInfo, _ error) error {
if !info.IsDir() {
dir, file := filepath.Split(path)
dir = strings.Trim(strings.TrimPrefix(dir, fp), string(os.PathSeparator))
tag := strings.Join([]string{dir, file}, ":")
path, tag := filepath.Split(path)
model := strings.Trim(strings.TrimPrefix(path, manifestsPath), string(os.PathSeparator))
modelPath := strings.Join([]string{model, tag}, ":")
canonicalModelPath := strings.ReplaceAll(modelPath, string(os.PathSeparator), "/")
resp, err := modelResponse(tag)
resp, err := modelResponse(canonicalModelPath)
if err != nil {
log.Printf("skipping file: %s", fp)
slog.Info(fmt.Sprintf("skipping file: %s", canonicalModelPath))
// nolint: nilerr
return nil
}
@@ -737,7 +802,7 @@ func ListModelsHandler(c *gin.Context) {
return nil
}
if err := filepath.Walk(fp, walkFunc); err != nil {
if err := filepath.Walk(manifestsPath, walkFunc); err != nil {
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
@@ -837,6 +902,7 @@ func (s *Server) GenerateRoutes() http.Handler {
config := cors.DefaultConfig()
config.AllowWildcard = true
config.AllowBrowserExtensions = true
config.AllowOrigins = origins
for _, allowOrigin := range defaultAllowOrigins {
@@ -884,6 +950,26 @@ func (s *Server) GenerateRoutes() http.Handler {
}
func Serve(ln net.Listener) error {
level := slog.LevelInfo
if debug := os.Getenv("OLLAMA_DEBUG"); debug != "" {
level = slog.LevelDebug
}
handler := slog.NewTextHandler(os.Stderr, &slog.HandlerOptions{
Level: level,
AddSource: true,
ReplaceAttr: func(_ []string, attr slog.Attr) slog.Attr {
if attr.Key == slog.SourceKey {
source := attr.Value.Any().(*slog.Source)
source.File = filepath.Base(source.File)
}
return attr
},
})
slog.SetDefault(slog.New(handler))
if noprune := os.Getenv("OLLAMA_NOPRUNE"); noprune == "" {
// clean up unused layers and manifests
if err := PruneLayers(); err != nil {
@@ -906,7 +992,7 @@ func Serve(ln net.Listener) error {
}
r := s.GenerateRoutes()
log.Printf("Listening on %s (version %s)", ln.Addr(), version.Version)
slog.Info(fmt.Sprintf("Listening on %s (version %s)", ln.Addr(), version.Version))
srvr := &http.Server{
Handler: r,
}
@@ -929,7 +1015,7 @@ func Serve(ln net.Listener) error {
if runtime.GOOS == "linux" { // TODO - windows too
// check compatibility to log warnings
if _, err := gpu.CheckVRAM(); err != nil {
log.Print(err.Error())
slog.Info(err.Error())
}
}
@@ -971,14 +1057,14 @@ func streamResponse(c *gin.Context, ch chan any) {
bts, err := json.Marshal(val)
if err != nil {
log.Printf("streamResponse: json.Marshal failed with %s", err)
slog.Info(fmt.Sprintf("streamResponse: json.Marshal failed with %s", err))
return false
}
// Delineate chunks with new-line delimiter
bts = append(bts, '\n')
if _, err := w.Write(bts); err != nil {
log.Printf("streamResponse: w.Write failed with %s", err)
slog.Info(fmt.Sprintf("streamResponse: w.Write failed with %s", err))
return false
}
@@ -1033,7 +1119,14 @@ func ChatHandler(c *gin.Context) {
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
sessionDuration := defaultSessionDuration
var sessionDuration time.Duration
if req.KeepAlive == nil {
sessionDuration = defaultSessionDuration
} else {
sessionDuration = req.KeepAlive.Duration
}
if err := load(c, model, opts, sessionDuration); err != nil {
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
@@ -1041,18 +1134,32 @@ func ChatHandler(c *gin.Context) {
// an empty request loads the model
if len(req.Messages) == 0 {
c.JSON(http.StatusOK, api.ChatResponse{CreatedAt: time.Now().UTC(), Model: req.Model, Done: true, Message: api.Message{Role: "assistant"}})
resp := api.ChatResponse{
CreatedAt: time.Now().UTC(),
Model: req.Model,
Done: true,
Message: api.Message{Role: "assistant"},
}
c.JSON(http.StatusOK, resp)
return
}
checkpointLoaded := time.Now()
prompt, images, err := model.ChatPrompt(req.Messages)
chat, err := model.ChatPrompts(req.Messages)
if err != nil {
c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
return
}
prompt, images, err := trimmedPrompt(c.Request.Context(), chat, model)
if err != nil {
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
slog.Debug("chat handler", "prompt", prompt)
ch := make(chan any)
go func() {
@@ -1126,3 +1233,115 @@ func ChatHandler(c *gin.Context) {
streamResponse(c, ch)
}
// promptInfo stores the variables used to template a prompt, and the token length of the resulting template for some model
type promptInfo struct {
vars PromptVars
tokenLen int
}
// trimmedPrompt builds a prompt to send to a running model. It ensures the prompt fits within the max context length,
// while preserving the most recent system message.
func trimmedPrompt(ctx context.Context, chat *ChatHistory, model *Model) (string, []llm.ImageData, error) {
if len(chat.Prompts) == 0 {
return "", nil, nil
}
var promptsToAdd []promptInfo
var totalTokenLength int
var systemPromptIncluded bool
var images []llm.ImageData
// reverse iterate through the prompts to build the prompt string in a way that fits the max context length
for i := len(chat.Prompts) - 1; i >= 0; i-- {
prompt := chat.Prompts[i]
promptText, err := promptString(model, prompt, i == len(chat.Prompts)-1)
if err != nil {
return "", nil, err
}
encodedTokens, err := loaded.runner.Encode(ctx, promptText)
if err != nil {
return "", nil, err
}
if totalTokenLength+len(encodedTokens) > loaded.NumCtx && i != len(chat.Prompts)-1 {
break // reached max context length, stop adding more prompts
}
for j := range prompt.Images {
if totalTokenLength+768 > loaded.NumCtx {
// this decreases the token length but overestimating is fine
prompt.Prompt = strings.ReplaceAll(prompt.Prompt, fmt.Sprintf(" [img-%d]", prompt.Images[j].ID), "")
continue
}
totalTokenLength += 768
images = append(images, prompt.Images[j])
}
totalTokenLength += len(encodedTokens)
systemPromptIncluded = systemPromptIncluded || prompt.System != ""
promptsToAdd = append(promptsToAdd, promptInfo{vars: prompt, tokenLen: len(encodedTokens)})
}
// ensure the system prompt is included, if not already
if chat.LastSystem != "" && !systemPromptIncluded {
var err error
promptsToAdd, err = includeSystemPrompt(ctx, chat.LastSystem, totalTokenLength, promptsToAdd)
if err != nil {
return "", nil, err
}
}
promptsToAdd[len(promptsToAdd)-1].vars.First = true
// construct the final prompt string from the prompts which fit within the context window
var result string
for i, prompt := range promptsToAdd {
promptText, err := promptString(model, prompt.vars, i == 0)
if err != nil {
return "", nil, err
}
result = promptText + result
}
return result, images, nil
}
// promptString applies the model template to the prompt
func promptString(model *Model, vars PromptVars, isMostRecent bool) (string, error) {
if isMostRecent {
p, err := model.PreResponsePrompt(vars)
if err != nil {
return "", fmt.Errorf("pre-response template: %w", err)
}
return p, nil
}
p, err := Prompt(model.Template, vars)
if err != nil {
return "", err
}
return p, nil
}
// includeSystemPrompt adjusts the prompts to include the system prompt.
func includeSystemPrompt(ctx context.Context, systemPrompt string, totalTokenLength int, promptsToAdd []promptInfo) ([]promptInfo, error) {
systemTokens, err := loaded.runner.Encode(ctx, systemPrompt)
if err != nil {
return nil, err
}
for i := len(promptsToAdd) - 1; i >= 0; i-- {
if totalTokenLength+len(systemTokens) <= loaded.NumCtx {
promptsToAdd[i].vars.System = systemPrompt
return promptsToAdd[:i+1], nil
}
totalTokenLength -= promptsToAdd[i].tokenLen
}
// if got here, system did not fit anywhere, so return the most recent prompt with the system message set
recent := promptsToAdd[len(promptsToAdd)-1]
recent.vars.System = systemPrompt
return []promptInfo{recent}, nil
}

View File

@@ -9,12 +9,14 @@ import (
"net/http"
"net/http/httptest"
"os"
"sort"
"strings"
"testing"
"github.com/stretchr/testify/assert"
"github.com/jmorganca/ollama/api"
"github.com/jmorganca/ollama/llm"
"github.com/jmorganca/ollama/parser"
"github.com/jmorganca/ollama/version"
)
@@ -50,7 +52,7 @@ func Test_Routes(t *testing.T) {
createTestModel := func(t *testing.T, name string) {
fname := createTestFile(t, "ollama-model")
modelfile := strings.NewReader(fmt.Sprintf("FROM %s", fname))
modelfile := strings.NewReader(fmt.Sprintf("FROM %s\nPARAMETER seed 42\nPARAMETER top_p 0.9\nPARAMETER stop foo\nPARAMETER stop bar", fname))
commands, err := parser.Parse(modelfile)
assert.Nil(t, err)
fn := func(resp api.ProgressResponse) {
@@ -167,6 +169,42 @@ func Test_Routes(t *testing.T) {
assert.Equal(t, "beefsteak:latest", model.ShortName)
},
},
{
Name: "Show Model Handler",
Method: http.MethodPost,
Path: "/api/show",
Setup: func(t *testing.T, req *http.Request) {
createTestModel(t, "show-model")
showReq := api.ShowRequest{Model: "show-model"}
jsonData, err := json.Marshal(showReq)
assert.Nil(t, err)
req.Body = io.NopCloser(bytes.NewReader(jsonData))
},
Expected: func(t *testing.T, resp *http.Response) {
contentType := resp.Header.Get("Content-Type")
assert.Equal(t, contentType, "application/json; charset=utf-8")
body, err := io.ReadAll(resp.Body)
assert.Nil(t, err)
var showResp api.ShowResponse
err = json.Unmarshal(body, &showResp)
assert.Nil(t, err)
var params []string
paramsSplit := strings.Split(showResp.Parameters, "\n")
for _, p := range paramsSplit {
params = append(params, strings.Join(strings.Fields(p), " "))
}
sort.Strings(params)
expectedParams := []string{
"seed 42",
"stop \"bar\"",
"stop \"foo\"",
"top_p 0.9",
}
assert.Equal(t, expectedParams, params)
},
},
}
s, err := setupServer(t)
@@ -193,13 +231,267 @@ func Test_Routes(t *testing.T) {
}
resp, err := httpSrv.Client().Do(req)
defer resp.Body.Close()
assert.Nil(t, err)
defer resp.Body.Close()
if tc.Expected != nil {
tc.Expected(t, resp)
}
}
}
func Test_ChatPrompt(t *testing.T) {
tests := []struct {
name string
template string
chat *ChatHistory
numCtx int
runner MockLLM
want string
wantErr string
}{
{
name: "Single Message",
template: "[INST] {{ .System }} {{ .Prompt }} [/INST]",
chat: &ChatHistory{
Prompts: []PromptVars{
{
System: "You are a Wizard.",
Prompt: "What are the potion ingredients?",
First: true,
},
},
LastSystem: "You are a Wizard.",
},
numCtx: 1,
runner: MockLLM{
encoding: []int{1}, // fit the ctxLen
},
want: "[INST] You are a Wizard. What are the potion ingredients? [/INST]",
},
{
name: "First Message",
template: "[INST] {{if .First}}Hello!{{end}} {{ .System }} {{ .Prompt }} [/INST]",
chat: &ChatHistory{
Prompts: []PromptVars{
{
System: "You are a Wizard.",
Prompt: "What are the potion ingredients?",
Response: "eye of newt",
First: true,
},
{
Prompt: "Anything else?",
},
},
LastSystem: "You are a Wizard.",
},
numCtx: 2,
runner: MockLLM{
encoding: []int{1}, // fit the ctxLen
},
want: "[INST] Hello! You are a Wizard. What are the potion ingredients? [/INST]eye of newt[INST] Anything else? [/INST]",
},
{
name: "Message History",
template: "[INST] {{ .System }} {{ .Prompt }} [/INST]",
chat: &ChatHistory{
Prompts: []PromptVars{
{
System: "You are a Wizard.",
Prompt: "What are the potion ingredients?",
Response: "sugar",
First: true,
},
{
Prompt: "Anything else?",
},
},
LastSystem: "You are a Wizard.",
},
numCtx: 4,
runner: MockLLM{
encoding: []int{1}, // fit the ctxLen, 1 for each message
},
want: "[INST] You are a Wizard. What are the potion ingredients? [/INST]sugar[INST] Anything else? [/INST]",
},
{
name: "Assistant Only",
template: "[INST] {{ .System }} {{ .Prompt }} [/INST]",
chat: &ChatHistory{
Prompts: []PromptVars{
{
Response: "everything nice",
First: true,
},
},
},
numCtx: 1,
runner: MockLLM{
encoding: []int{1},
},
want: "[INST] [/INST]everything nice",
},
{
name: "Message History Truncated, No System",
template: "[INST] {{ .System }} {{ .Prompt }} [/INST]",
chat: &ChatHistory{
Prompts: []PromptVars{
{
Prompt: "What are the potion ingredients?",
Response: "sugar",
First: true,
},
{
Prompt: "Anything else?",
Response: "spice",
},
{
Prompt: "... and?",
},
},
},
numCtx: 2, // only 1 message from history and most recent message
runner: MockLLM{
encoding: []int{1},
},
want: "[INST] Anything else? [/INST]spice[INST] ... and? [/INST]",
},
{
name: "System is Preserved when Truncated",
template: "[INST] {{ .System }} {{ .Prompt }} [/INST]",
chat: &ChatHistory{
Prompts: []PromptVars{
{
Prompt: "What are the magic words?",
Response: "abracadabra",
},
{
Prompt: "What is the spell for invisibility?",
},
},
LastSystem: "You are a wizard.",
},
numCtx: 2,
runner: MockLLM{
encoding: []int{1},
},
want: "[INST] You are a wizard. What is the spell for invisibility? [/INST]",
},
{
name: "System is Preserved when Length Exceeded",
template: "[INST] {{ .System }} {{ .Prompt }} [/INST]",
chat: &ChatHistory{
Prompts: []PromptVars{
{
Prompt: "What are the magic words?",
Response: "abracadabra",
},
{
Prompt: "What is the spell for invisibility?",
},
},
LastSystem: "You are a wizard.",
},
numCtx: 1,
runner: MockLLM{
encoding: []int{1},
},
want: "[INST] You are a wizard. What is the spell for invisibility? [/INST]",
},
{
name: "First is Preserved when Truncated",
template: "[INST] {{ if .First }}{{ .System }} {{ end }}{{ .Prompt }} [/INST]",
chat: &ChatHistory{
Prompts: []PromptVars{
// first message omitted for test
{
Prompt: "Do you have a magic hat?",
Response: "Of course.",
},
{
Prompt: "What is the spell for invisibility?",
},
},
LastSystem: "You are a wizard.",
},
numCtx: 3, // two most recent messages and room for system message
runner: MockLLM{
encoding: []int{1},
},
want: "[INST] You are a wizard. Do you have a magic hat? [/INST]Of course.[INST] What is the spell for invisibility? [/INST]",
},
{
name: "Most recent message is returned when longer than ctxLen",
template: "[INST] {{ .Prompt }} [/INST]",
chat: &ChatHistory{
Prompts: []PromptVars{
{
Prompt: "What is the spell for invisibility?",
First: true,
},
},
},
numCtx: 1, // two most recent messages
runner: MockLLM{
encoding: []int{1, 2},
},
want: "[INST] What is the spell for invisibility? [/INST]",
},
}
for _, testCase := range tests {
tt := testCase
m := &Model{
Template: tt.template,
}
t.Run(tt.name, func(t *testing.T) {
loaded.runner = &tt.runner
loaded.Options = &api.Options{
Runner: api.Runner{
NumCtx: tt.numCtx,
},
}
// TODO: add tests for trimming images
got, _, err := trimmedPrompt(context.Background(), tt.chat, m)
if tt.wantErr != "" {
if err == nil {
t.Errorf("ChatPrompt() expected error, got nil")
}
if !strings.Contains(err.Error(), tt.wantErr) {
t.Errorf("ChatPrompt() error = %v, wantErr %v", err, tt.wantErr)
}
}
if got != tt.want {
t.Errorf("ChatPrompt() got = %v, want %v", got, tt.want)
}
})
}
}
type MockLLM struct {
encoding []int
}
func (llm *MockLLM) Predict(ctx context.Context, pred llm.PredictOpts, fn func(llm.PredictResult)) error {
return nil
}
func (llm *MockLLM) Encode(ctx context.Context, prompt string) ([]int, error) {
return llm.encoding, nil
}
func (llm *MockLLM) Decode(ctx context.Context, tokens []int) (string, error) {
return "", nil
}
func (llm *MockLLM) Embedding(ctx context.Context, input string) ([]float64, error) {
return []float64{}, nil
}
func (llm *MockLLM) Close() {
// do nothing
}

View File

@@ -7,7 +7,7 @@ import (
"fmt"
"hash"
"io"
"log"
"log/slog"
"math"
"net/http"
"net/url"
@@ -88,7 +88,7 @@ func (b *blobUpload) Prepare(ctx context.Context, requestURL *url.URL, opts *Reg
return nil
}
var size = b.Total / numUploadParts
size := b.Total / numUploadParts
switch {
case size < minUploadPartSize:
size = minUploadPartSize
@@ -107,7 +107,7 @@ func (b *blobUpload) Prepare(ctx context.Context, requestURL *url.URL, opts *Reg
offset += size
}
log.Printf("uploading %s in %d %s part(s)", b.Digest[7:19], len(b.Parts), format.HumanBytes(b.Parts[0].Size))
slog.Info(fmt.Sprintf("uploading %s in %d %s part(s)", b.Digest[7:19], len(b.Parts), format.HumanBytes(b.Parts[0].Size)))
requestURL, err = url.Parse(location)
if err != nil {
@@ -156,7 +156,7 @@ func (b *blobUpload) Run(ctx context.Context, opts *RegistryOptions) {
return err
case err != nil:
sleep := time.Second * time.Duration(math.Pow(2, float64(try)))
log.Printf("%s part %d attempt %d failed: %v, retrying in %s", b.Digest[7:19], part.N, try, err, sleep)
slog.Info(fmt.Sprintf("%s part %d attempt %d failed: %v, retrying in %s", b.Digest[7:19], part.N, try, err, sleep))
time.Sleep(sleep)
continue
}
@@ -200,7 +200,7 @@ func (b *blobUpload) Run(ctx context.Context, opts *RegistryOptions) {
break
} else if err != nil {
sleep := time.Second * time.Duration(math.Pow(2, float64(try)))
log.Printf("%s complete upload attempt %d failed: %v, retrying in %s", b.Digest[7:19], try, err, sleep)
slog.Info(fmt.Sprintf("%s complete upload attempt %d failed: %v, retrying in %s", b.Digest[7:19], try, err, sleep))
time.Sleep(sleep)
continue
}
@@ -265,7 +265,7 @@ func (b *blobUpload) uploadPart(ctx context.Context, method string, requestURL *
return err
case err != nil:
sleep := time.Second * time.Duration(math.Pow(2, float64(try)))
log.Printf("%s part %d attempt %d failed: %v, retrying in %s", b.Digest[7:19], part.N, try, err, sleep)
slog.Info(fmt.Sprintf("%s part %d attempt %d failed: %v, retrying in %s", b.Digest[7:19], part.N, try, err, sleep))
time.Sleep(sleep)
continue
}
@@ -395,6 +395,7 @@ func uploadBlob(ctx context.Context, mp ModelPath, layer *Layer, opts *RegistryO
return err
}
// nolint: contextcheck
go upload.Run(context.Background(), opts)
}