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1 Commits

Author SHA1 Message Date
Matt Williams
e2389b63aa add examples of streaming in python and node
Signed-off-by: Matt Williams <m@technovangelist.com>
2023-09-14 07:12:09 -07:00
36 changed files with 532 additions and 1145 deletions

View File

@@ -1,7 +1,5 @@
.vscode
ollama
app
dist
scripts
llm/llama.cpp/ggml
llm/llama.cpp/gguf

1
.gitmodules vendored
View File

@@ -6,5 +6,4 @@
[submodule "llm/llama.cpp/gguf"]
path = llm/llama.cpp/gguf
url = https://github.com/ggerganov/llama.cpp.git
ignore = dirty
shallow = true

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@@ -1,28 +1,18 @@
ARG CUDA_VERSION=12.2.0
FROM nvidia/cuda:$CUDA_VERSION-devel-ubuntu22.04
ARG TARGETARCH
ARG VERSION=0.0.0
FROM golang:alpine
WORKDIR /go/src/github.com/jmorganca/ollama
RUN apt-get update && apt-get install -y git build-essential cmake
ADD https://dl.google.com/go/go1.21.1.linux-$TARGETARCH.tar.gz /tmp/go1.21.1.tar.gz
RUN mkdir -p /usr/local && tar xz -C /usr/local </tmp/go1.21.1.tar.gz
RUN apk add --no-cache git build-base cmake
COPY . .
ENV GOARCH=$TARGETARCH
RUN /usr/local/go/bin/go generate ./... \
&& /usr/local/go/bin/go build -ldflags "-linkmode=external -extldflags='-static' -X=github.com/jmorganca/ollama/version.Version=$VERSION -X=github.com/jmorganca/ollama/server.mode=release" .
RUN go generate ./... && go build -ldflags '-linkmode external -extldflags "-static"' .
FROM ubuntu:22.04
FROM alpine
ENV OLLAMA_HOST 0.0.0.0
RUN apt-get update && apt-get install -y ca-certificates
RUN apk add --no-cache libstdc++
ARG USER=ollama
ARG GROUP=ollama
RUN groupadd $GROUP && useradd -m -g $GROUP $USER
RUN addgroup $GROUP && adduser -D -G $GROUP $USER
COPY --from=0 /go/src/github.com/jmorganca/ollama/ollama /bin/ollama

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@@ -1,29 +0,0 @@
ARG VERSION=0.0.0
# centos7 amd64 dependencies
FROM --platform=linux/amd64 nvidia/cuda:11.8.0-devel-centos7 AS base-amd64
RUN yum install -y https://repo.ius.io/ius-release-el7.rpm centos-release-scl && \
yum update -y && \
yum install -y devtoolset-10-gcc devtoolset-10-gcc-c++ git236 wget
RUN wget "https://github.com/Kitware/CMake/releases/download/v3.27.6/cmake-3.27.6-linux-x86_64.sh" -O cmake-installer.sh && chmod +x cmake-installer.sh && ./cmake-installer.sh --skip-license --prefix=/usr/local
ENV PATH /opt/rh/devtoolset-10/root/usr/bin:$PATH
# centos8 arm64 dependencies
FROM --platform=linux/arm64 nvidia/cuda:11.4.3-devel-centos8 AS base-arm64
RUN sed -i -e 's/mirrorlist/#mirrorlist/g' -e 's|#baseurl=http://mirror.centos.org|baseurl=http://vault.centos.org|g' /etc/yum.repos.d/CentOS-*
RUN yum install -y git cmake
FROM base-${TARGETARCH}
ARG TARGETARCH
# install go
ADD https://dl.google.com/go/go1.21.1.linux-$TARGETARCH.tar.gz /tmp/go1.21.1.tar.gz
RUN mkdir -p /usr/local && tar xz -C /usr/local </tmp/go1.21.1.tar.gz
# build the final binary
WORKDIR /go/src/github.com/jmorganca/ollama
COPY . .
ENV GOARCH=$TARGETARCH
RUN /usr/local/go/bin/go generate ./... && \
/usr/local/go/bin/go build -ldflags "-X=github.com/jmorganca/ollama/version.Version=$VERSION -X=github.com/jmorganca/ollama/server.mode=release" .

22
Dockerfile.cuda Normal file
View File

@@ -0,0 +1,22 @@
FROM nvidia/cuda:12.2.0-devel-ubuntu22.04
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/go1.21.1.linux-amd64.tar.gz /tmp/go1.21.1.tar.gz
RUN mkdir -p /usr/local && tar xz -C /usr/local </tmp/go1.21.1.tar.gz
COPY . .
RUN /usr/local/go/bin/go generate ./... && /usr/local/go/bin/go build -ldflags '-linkmode external -extldflags "-static"' .
FROM nvidia/cuda:12.2.0-runtime-ubuntu22.04
ENV OLLAMA_HOST 0.0.0.0
ARG USER=ollama
ARG GROUP=ollama
RUN groupadd $GROUP && useradd -m -g $GROUP $USER
COPY --from=0 /go/src/github.com/jmorganca/ollama/ollama /bin/ollama
USER $USER:$GROUP
ENTRYPOINT ["/bin/ollama"]
CMD ["serve"]

View File

@@ -206,16 +206,10 @@ curl -X POST http://localhost:11434/api/generate -d '{
## Community Projects using Ollama
| Project | Description |
| -------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| [LangChain][1] and [LangChain.js][2] | Also, there is a question-answering [example][3]. |
| [Continue](https://github.com/continuedev/continue) | Embeds Ollama inside Visual Studio Code. The extension lets you highlight code to add to the prompt, ask questions in the sidebar, and generate code inline. |
| [LiteLLM](https://github.com/BerriAI/litellm) | Lightweight Python package to simplify LLM API calls. |
| [Discord AI Bot](https://github.com/mekb-turtle/discord-ai-bot) | Interact with Ollama as a chatbot on Discord. |
| [Raycast Ollama](https://github.com/MassimilianoPasquini97/raycast_ollama) | Raycast extension to use Ollama for local llama inference on Raycast. |
| [Simple HTML UI](https://github.com/rtcfirefly/ollama-ui) | Also, there is a Chrome extension. |
| [Emacs client](https://github.com/zweifisch/ollama) | |
[1]: https://python.langchain.com/docs/integrations/llms/ollama
[2]: https://js.langchain.com/docs/modules/model_io/models/llms/integrations/ollama
[3]: https://js.langchain.com/docs/use_cases/question_answering/local_retrieval_qa
- [LangChain](https://python.langchain.com/docs/integrations/llms/ollama) and [LangChain.js](https://js.langchain.com/docs/modules/model_io/models/llms/integrations/ollama) with a question-answering [example](https://js.langchain.com/docs/use_cases/question_answering/local_retrieval_qa).
- [Continue](https://github.com/continuedev/continue) - embeds Ollama inside Visual Studio Code. The extension lets you highlight code to add to the prompt, ask questions in the sidebar, and generate code inline.
- [LiteLLM](https://github.com/BerriAI/litellm) a lightweight python package to simplify LLM API calls
- [Discord AI Bot](https://github.com/mekb-turtle/discord-ai-bot) - interact with Ollama as a chatbot on Discord.
- [Raycast Ollama](https://github.com/MassimilianoPasquini97/raycast_ollama) - Raycast extension to use Ollama for local llama inference on Raycast.
- [Simple HTML UI for Ollama](https://github.com/rtcfirefly/ollama-ui)
- [Emacs client](https://github.com/zweifisch/ollama) for Ollama

View File

@@ -1,225 +0,0 @@
import os
import json
import requests
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, 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
}
# 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 model from a Modelfile. Use the callback function to override the default handler.
def create(model_name, model_path, callback=None):
try:
url = f"{BASE_URL}/api/create"
payload = {"name": model_name, "path": model_path}
# 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:
# Parsing each line (JSON chunk) and extracting the status
chunk = json.loads(line)
if callback:
callback(chunk)
else:
print(f"Status: {chunk.get('status')}")
except requests.exceptions.RequestException 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

@@ -11,19 +11,20 @@ import (
"io"
"log"
"net"
"net/http"
"os"
"os/exec"
"path"
"path/filepath"
"runtime"
"strings"
"time"
"github.com/chzyer/readline"
"github.com/dustin/go-humanize"
"github.com/olekukonko/tablewriter"
"github.com/pdevine/readline"
"github.com/spf13/cobra"
"golang.org/x/crypto/ssh"
"golang.org/x/term"
"github.com/jmorganca/ollama/api"
"github.com/jmorganca/ollama/format"
@@ -32,19 +33,6 @@ import (
"github.com/jmorganca/ollama/version"
)
type Painter struct {
HideHint bool
}
func (p Painter) Paint(line []rune, _ int) []rune {
termType := os.Getenv("TERM")
if termType == "xterm-256color" && len(line) == 0 && !p.HideHint {
prompt := "Send a message (/? for help)"
return []rune(fmt.Sprintf("\033[38;5;245m%s\033[%dD\033[0m", prompt, len(prompt)))
}
return line
}
func CreateHandler(cmd *cobra.Command, args []string) error {
filename, _ := cmd.Flags().GetString("file")
filename, err := filepath.Abs(filename)
@@ -110,28 +98,39 @@ func CreateHandler(cmd *cobra.Command, args []string) error {
}
func RunHandler(cmd *cobra.Command, args []string) error {
client, err := api.FromEnv()
insecure, err := cmd.Flags().GetBool("insecure")
if err != nil {
return err
}
models, err := client.List(context.Background())
mp := server.ParseModelPath(args[0])
if err != nil {
return err
}
modelName, modelTag, ok := strings.Cut(args[0], ":")
if !ok {
modelTag = "latest"
if mp.ProtocolScheme == "http" && !insecure {
return fmt.Errorf("insecure protocol http")
}
for _, model := range models.Models {
if model.Name == strings.Join([]string{modelName, modelTag}, ":") {
return RunGenerate(cmd, args)
fp, err := mp.GetManifestPath(false)
if err != nil {
return err
}
_, err = os.Stat(fp)
switch {
case errors.Is(err, os.ErrNotExist):
if err := pull(args[0], insecure); err != nil {
var apiStatusError api.StatusError
if !errors.As(err, &apiStatusError) {
return err
}
if apiStatusError.StatusCode != http.StatusBadGateway {
return err
}
}
}
if err := PullHandler(cmd, args); err != nil {
case err != nil:
return err
}
@@ -388,117 +387,71 @@ func RunGenerate(cmd *cobra.Command, args []string) error {
type generateContextKey string
func generate(cmd *cobra.Command, model, prompt string) error {
client, err := api.FromEnv()
if err != nil {
return err
}
spinner := NewSpinner("")
go spinner.Spin(60 * time.Millisecond)
var latest api.GenerateResponse
generateContext, ok := cmd.Context().Value(generateContextKey("context")).([]int)
if !ok {
generateContext = []int{}
}
var wrapTerm bool
termType := os.Getenv("TERM")
if termType == "xterm-256color" {
wrapTerm = true
}
termWidth, _, err := term.GetSize(int(0))
if err != nil {
wrapTerm = false
}
// override wrapping if the user turned it off
nowrap, err := cmd.Flags().GetBool("nowordwrap")
if err != nil {
return err
}
if nowrap {
wrapTerm = false
}
var currentLineLength int
var wordBuffer string
request := api.GenerateRequest{Model: model, Prompt: prompt, Context: generateContext}
fn := func(response api.GenerateResponse) error {
if !spinner.IsFinished() {
spinner.Finish()
if len(strings.TrimSpace(prompt)) > 0 {
client, err := api.FromEnv()
if err != nil {
return err
}
latest = response
spinner := NewSpinner("")
go spinner.Spin(60 * time.Millisecond)
if wrapTerm {
for _, ch := range response.Response {
if currentLineLength+1 > termWidth-5 {
// 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
var latest api.GenerateResponse
switch ch {
case ' ':
wordBuffer = ""
case '\n':
currentLineLength = 0
default:
wordBuffer += string(ch)
}
generateContext, ok := cmd.Context().Value(generateContextKey("context")).([]int)
if !ok {
generateContext = []int{}
}
request := api.GenerateRequest{Model: model, Prompt: prompt, Context: generateContext}
fn := func(response api.GenerateResponse) error {
if !spinner.IsFinished() {
spinner.Finish()
}
latest = response
fmt.Print(response.Response)
return nil
}
if err := client.Generate(context.Background(), &request, fn); err != nil {
if strings.Contains(err.Error(), "failed to load model") {
// tell the user to check the server log, if it exists locally
home, nestedErr := os.UserHomeDir()
if nestedErr != nil {
// return the original error
return err
}
logPath := filepath.Join(home, ".ollama", "logs", "server.log")
if _, nestedErr := os.Stat(logPath); nestedErr == nil {
err = fmt.Errorf("%w\nFor more details, check the error logs at %s", err, logPath)
}
}
} else {
fmt.Print(response.Response)
return err
}
return nil
}
fmt.Println()
fmt.Println()
if err := client.Generate(context.Background(), &request, fn); err != nil {
if strings.Contains(err.Error(), "failed to load model") {
// tell the user to check the server log, if it exists locally
home, nestedErr := os.UserHomeDir()
if nestedErr != nil {
// return the original error
return err
}
logPath := filepath.Join(home, ".ollama", "logs", "server.log")
if _, nestedErr := os.Stat(logPath); nestedErr == nil {
err = fmt.Errorf("%w\nFor more details, check the error logs at %s", err, logPath)
}
if !latest.Done {
return errors.New("unexpected end of response")
}
return err
}
if prompt != "" {
fmt.Println()
fmt.Println()
}
if !latest.Done {
return errors.New("unexpected end of response")
}
verbose, err := cmd.Flags().GetBool("verbose")
if err != nil {
return err
}
verbose, err := cmd.Flags().GetBool("verbose")
if err != nil {
return err
}
if verbose {
latest.Summary()
}
if verbose {
latest.Summary()
ctx := cmd.Context()
ctx = context.WithValue(ctx, generateContextKey("context"), latest.Context)
cmd.SetContext(ctx)
}
ctx := cmd.Context()
ctx = context.WithValue(ctx, generateContextKey("context"), latest.Context)
cmd.SetContext(ctx)
return nil
}
@@ -508,21 +461,19 @@ func generateInteractive(cmd *cobra.Command, model string) error {
return err
}
// load the model
if err := generate(cmd, model, ""); err != nil {
return err
}
completer := readline.NewPrefixCompleter(
readline.PcItem("/help"),
readline.PcItem("/list"),
readline.PcItem("/set",
readline.PcItem("history"),
readline.PcItem("nohistory"),
readline.PcItem("wordwrap"),
readline.PcItem("nowordwrap"),
readline.PcItem("verbose"),
readline.PcItem("quiet"),
readline.PcItem("mode",
readline.PcItem("vim"),
readline.PcItem("emacs"),
readline.PcItem("default"),
),
),
readline.PcItem("/show",
readline.PcItem("license"),
@@ -540,10 +491,7 @@ func generateInteractive(cmd *cobra.Command, model string) error {
fmt.Fprintln(os.Stderr, completer.Tree(" "))
}
var painter Painter
config := readline.Config{
Painter: &painter,
Prompt: ">>> ",
HistoryFile: filepath.Join(home, ".ollama", "history"),
AutoComplete: completer,
@@ -579,7 +527,6 @@ func generateInteractive(cmd *cobra.Command, model string) error {
case isMultiLine:
if strings.HasSuffix(line, `"""`) {
isMultiLine = false
painter.HideHint = false
multiLineBuffer += strings.TrimSuffix(line, `"""`)
line = multiLineBuffer
multiLineBuffer = ""
@@ -592,49 +539,51 @@ func generateInteractive(cmd *cobra.Command, model string) error {
isMultiLine = true
multiLineBuffer = strings.TrimPrefix(line, `"""`) + " "
scanner.SetPrompt("... ")
painter.HideHint = true
continue
case strings.HasPrefix(line, "/list"):
args := strings.Fields(line)
if err := ListHandler(cmd, args[1:]); err != nil {
return err
}
continue
case strings.HasPrefix(line, "/set"):
args := strings.Fields(line)
if len(args) > 1 {
switch args[1] {
case "history":
scanner.HistoryEnable()
continue
case "nohistory":
scanner.HistoryDisable()
case "wordwrap":
cmd.Flags().Set("nowordwrap", "false")
fmt.Println("Set 'wordwrap' mode.")
case "nowordwrap":
cmd.Flags().Set("nowordwrap", "true")
fmt.Println("Set 'nowordwrap' mode.")
continue
case "verbose":
cmd.Flags().Set("verbose", "true")
fmt.Println("Set 'verbose' mode.")
continue
case "quiet":
cmd.Flags().Set("verbose", "false")
fmt.Println("Set 'quiet' mode.")
continue
case "mode":
if len(args) > 2 {
switch args[2] {
case "vim":
scanner.SetVimMode(true)
continue
case "emacs", "default":
scanner.SetVimMode(false)
continue
default:
usage()
continue
}
} else {
usage()
continue
}
}
} else {
usage()
continue
}
case strings.HasPrefix(line, "/show"):
args := strings.Fields(line)
@@ -642,6 +591,7 @@ func generateInteractive(cmd *cobra.Command, model string) error {
resp, err := server.GetModelInfo(model)
if err != nil {
fmt.Println("error: couldn't get model")
continue
}
switch args[1] {
@@ -658,22 +608,21 @@ func generateInteractive(cmd *cobra.Command, model string) error {
default:
fmt.Println("error: unknown command")
}
continue
} else {
usage()
continue
}
case line == "/help", line == "/?":
usage()
continue
case line == "/exit", line == "/bye":
return nil
case strings.HasPrefix(line, "/"):
args := strings.Fields(line)
fmt.Printf("Unknown command '%s'. Type /? for help\n", args[0])
}
if len(line) > 0 && line[0] != '/' {
if err := generate(cmd, model, line); err != nil {
return err
}
if err := generate(cmd, model, line); err != nil {
return err
}
}
}
@@ -692,19 +641,28 @@ func generateBatch(cmd *cobra.Command, model string) error {
}
func RunServer(cmd *cobra.Command, _ []string) error {
host, port, err := net.SplitHostPort(os.Getenv("OLLAMA_HOST"))
if err != nil {
host, port = "127.0.0.1", "11434"
if ip := net.ParseIP(strings.Trim(os.Getenv("OLLAMA_HOST"), "[]")); ip != nil {
host = ip.String()
}
host, port := "127.0.0.1", "11434"
parts := strings.Split(os.Getenv("OLLAMA_HOST"), ":")
if ip := net.ParseIP(parts[0]); ip != nil {
host = ip.String()
}
if err := initializeKeypair(); err != nil {
if len(parts) > 1 {
port = parts[1]
}
// deprecated: include port in OLLAMA_HOST
if p := os.Getenv("OLLAMA_PORT"); p != "" {
port = p
}
err := initializeKeypair()
if err != nil {
return err
}
ln, err := net.Listen("tcp", net.JoinHostPort(host, port))
ln, err := net.Listen("tcp", fmt.Sprintf("%s:%s", host, port))
if err != nil {
return err
}
@@ -745,7 +703,7 @@ func initializeKeypair() error {
return err
}
err = os.MkdirAll(filepath.Dir(privKeyPath), 0o755)
err = os.MkdirAll(path.Dir(privKeyPath), 0o700)
if err != nil {
return fmt.Errorf("could not create directory %w", err)
}
@@ -873,7 +831,6 @@ func NewCLI() *cobra.Command {
runCmd.Flags().Bool("verbose", false, "Show timings for response")
runCmd.Flags().Bool("insecure", false, "Use an insecure registry")
runCmd.Flags().Bool("nowordwrap", false, "Don't wrap words to the next line automatically")
serveCmd := &cobra.Command{
Use: "serve",

View File

@@ -3,29 +3,30 @@
## Endpoints
- [Generate a completion](#generate-a-completion)
- [Create a Model](#create-a-model)
- [List Local Models](#list-local-models)
- [Show Model Information](#show-model-information)
- [Copy a Model](#copy-a-model)
- [Delete a Model](#delete-a-model)
- [Pull a Model](#pull-a-model)
- [Push a Model](#push-a-model)
- [Generate Embeddings](#generate-embeddings)
- [Create a model](#create-a-model)
- [List local models](#list-local-models)
- [Copy a model](#copy-a-model)
- [Delete a model](#delete-a-model)
- [Pull a model](#pull-a-model)
- [Generate embeddings](#generate-embeddings)
## Conventions
### Model names
Model names follow a `model:tag` format. Some examples are `orca-mini:3b-q4_1` and `llama2:70b`. The tag is optional and, if not provided, will default to `latest`. The tag is used to identify a specific version.
Model names follow a `model:tag` format. Some examples are `orca-mini:3b-q4_1` and `llama2:70b`. The tag is optional and if not provided will default to `latest`. The tag is used to identify a specific version.
### Durations
All durations are returned in nanoseconds.
### Streams
Many API responses are streams of JSON objects showing the current status. For examples of working with streams in various languages, see [streaming.md](./streaming.md)
## Generate a completion
```shell
```
POST /api/generate
```
@@ -45,7 +46,7 @@ Advanced parameters:
### Request
```shell
```
curl -X POST http://localhost:11434/api/generate -d '{
"model": "llama2:7b",
"prompt": "Why is the sky blue?"
@@ -98,7 +99,7 @@ To calculate how fast the response is generated in tokens per second (token/s),
## Create a Model
```shell
```
POST /api/create
```
@@ -111,7 +112,7 @@ Create a model from a [`Modelfile`](./modelfile.md)
### Request
```shell
```
curl -X POST http://localhost:11434/api/create -d '{
"name": "mario",
"path": "~/Modelfile"
@@ -120,7 +121,7 @@ curl -X POST http://localhost:11434/api/create -d '{
### Response
A stream of JSON objects. When finished, `status` is `success`.
A stream of JSON objects. When finished, `status` is `success`
```json
{
@@ -130,7 +131,7 @@ A stream of JSON objects. When finished, `status` is `success`.
## List Local Models
```shell
```
GET /api/tags
```
@@ -138,7 +139,7 @@ List models that are available locally.
### Request
```shell
```
curl http://localhost:11434/api/tags
```
@@ -161,40 +162,9 @@ curl http://localhost:11434/api/tags
}
```
## Show Model Information
```shell
POST /api/show
```
Show details about a model including modelfile, template, parameters, license, and system prompt.
### Parameters
- `name`: name of the model to show
### Request
```shell
curl http://localhost:11434/api/show -d '{
"name": "llama2:7b"
}'
```
### Response
```json
{
"license": "<contents of license block>",
"modelfile": "# Modelfile generated by \"ollama show\"\n# To build a new Modelfile based on this one, replace the FROM line with:\n# FROM llama2:latest\n\nFROM /Users/username/.ollama/models/blobs/sha256:8daa9615cce30c259a9555b1cc250d461d1bc69980a274b44d7eda0be78076d8\nTEMPLATE \"\"\"[INST] {{ if and .First .System }}<<SYS>>{{ .System }}<</SYS>>\n\n{{ end }}{{ .Prompt }} [/INST] \"\"\"\nSYSTEM \"\"\"\"\"\"\nPARAMETER stop [INST]\nPARAMETER stop [/INST]\nPARAMETER stop <<SYS>>\nPARAMETER stop <</SYS>>\n",
"parameters": "stop [INST]\nstop [/INST]\nstop <<SYS>>\nstop <</SYS>>",
"template": "[INST] {{ if and .First .System }}<<SYS>>{{ .System }}<</SYS>>\n\n{{ end }}{{ .Prompt }} [/INST] "
}
```
## Copy a Model
```shell
```
POST /api/copy
```
@@ -202,7 +172,7 @@ Copy a model. Creates a model with another name from an existing model.
### Request
```shell
```
curl http://localhost:11434/api/copy -d '{
"source": "llama2:7b",
"destination": "llama2-backup"
@@ -211,7 +181,7 @@ curl http://localhost:11434/api/copy -d '{
## Delete a Model
```shell
```
DELETE /api/delete
```
@@ -223,7 +193,7 @@ Delete a model and its data.
### Request
```shell
```
curl -X DELETE http://localhost:11434/api/delete -d '{
"name": "llama2:13b"
}'
@@ -231,20 +201,19 @@ curl -X DELETE http://localhost:11434/api/delete -d '{
## Pull a Model
```shell
```
POST /api/pull
```
Download a model from the ollama library. Cancelled pulls are resumed from where they left off, and multiple calls will share the same download progress.
Download 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.
### Parameters
- `name`: name of the model to pull
- `insecure`: (optional) allow insecure connections to the library. Only use this if you are pulling from your own library during development.
### Request
```shell
```
curl -X POST http://localhost:11434/api/pull -d '{
"name": "llama2:7b"
}'
@@ -260,63 +229,9 @@ curl -X POST http://localhost:11434/api/pull -d '{
}
```
## Push a Model
```shell
POST /api/push
```
Upload a model to a model library. Requires registering for ollama.ai and adding a public key first.
### Parameters
- `name`: name of the model to push in the form of `<namespace>/<model>:<tag>`
- `insecure`: (optional) allow insecure connections to the library. Only use this if you are pushing to your library during development.
### Request
```shell
curl -X POST http://localhost:11434/api/push -d '{
"name": "mattw/pygmalion:latest"
}'
```
### Response
Streaming response that starts with:
```json
{"status":"retrieving manifest"}
```
and then:
```json
{
"status":"starting upload","digest":"sha256:bc07c81de745696fdf5afca05e065818a8149fb0c77266fb584d9b2cba3711ab",
"total":1928429856
}
```
Then there is a series of uploading responses:
```json
{
"status":"starting upload",
"digest":"sha256:bc07c81de745696fdf5afca05e065818a8149fb0c77266fb584d9b2cba3711ab",
"total":1928429856}
```
Finally, when the upload is complete:
```json
{"status":"pushing manifest"}
{"status":"success"}
```
## Generate Embeddings
```shell
```
POST /api/embeddings
```
@@ -333,7 +248,7 @@ Advanced parameters:
### Request
```shell
```
curl -X POST http://localhost:11434/api/embeddings -d '{
"model": "llama2:7b",
"prompt": "Here is an article about llamas..."
@@ -348,4 +263,5 @@ curl -X POST http://localhost:11434/api/embeddings -d '{
0.5670403838157654, 0.009260174818336964, 0.23178744316101074, -0.2916173040866852, -0.8924556970596313,
0.8785552978515625, -0.34576427936553955, 0.5742510557174683, -0.04222835972905159, -0.137906014919281
]
}```
}
```

35
docs/streaming.md Normal file
View File

@@ -0,0 +1,35 @@
# Streaming responses in the Ollama Client API
## JavaScript / TypeScript / Deno
```javascript
const pull = async () => {
const request = await fetch("http://localhost:11434/api/pull", {
method: "POST",
body: JSON.stringify({ name: "llama2:7b-q5_0" }),
});
const reader = await request.body?.pipeThrough(new TextDecoderStream());
if (!reader) throw new Error("No reader");
for await (const chunk of reader) {
const out = JSON.parse(chunk);
if (out.status.startsWith("downloading")) {
console.log(`${out.status} - ${(out.completed / out.total) * 100}%`);
}
}
}
pull();
```
## Python
```python
import requests
import json
response = requests.post("http://localhost:11434/api/pull", json={"name": "llama2:7b-q5_0"}, stream=True)
for data in response.iter_lines():
out = json.loads(data)
if "completed" in out:
print(out["completed"] / out["total"] * 100)
```

2
go.mod
View File

@@ -8,7 +8,6 @@ require (
github.com/mattn/go-runewidth v0.0.14
github.com/mitchellh/colorstring v0.0.0-20190213212951-d06e56a500db
github.com/olekukonko/tablewriter v0.0.5
github.com/pdevine/readline v1.5.2
github.com/spf13/cobra v1.7.0
)
@@ -17,6 +16,7 @@ require github.com/rivo/uniseg v0.2.0 // indirect
require (
github.com/bytedance/sonic v1.9.1 // indirect
github.com/chenzhuoyu/base64x v0.0.0-20221115062448-fe3a3abad311 // indirect
github.com/chzyer/readline v1.5.1
github.com/gabriel-vasile/mimetype v1.4.2 // indirect
github.com/gin-contrib/cors v1.4.0
github.com/gin-contrib/sse v0.1.0 // indirect

5
go.sum
View File

@@ -6,6 +6,8 @@ github.com/chenzhuoyu/base64x v0.0.0-20221115062448-fe3a3abad311 h1:qSGYFH7+jGhD
github.com/chenzhuoyu/base64x v0.0.0-20221115062448-fe3a3abad311/go.mod h1:b583jCggY9gE99b6G5LEC39OIiVsWj+R97kbl5odCEk=
github.com/chzyer/logex v1.2.1 h1:XHDu3E6q+gdHgsdTPH6ImJMIp436vR6MPtH8gP05QzM=
github.com/chzyer/logex v1.2.1/go.mod h1:JLbx6lG2kDbNRFnfkgvh4eRJRPX1QCoOIWomwysCBrQ=
github.com/chzyer/readline v1.5.1 h1:upd/6fQk4src78LMRzh5vItIt361/o4uq553V8B5sGI=
github.com/chzyer/readline v1.5.1/go.mod h1:Eh+b79XXUwfKfcPLepksvw2tcLE/Ct21YObkaSkeBlk=
github.com/chzyer/test v1.0.0 h1:p3BQDXSxOhOG0P9z6/hGnII4LGiEPOYBhs8asl/fC04=
github.com/chzyer/test v1.0.0/go.mod h1:2JlltgoNkt4TW/z9V/IzDdFaMTM2JPIi26O1pF38GC8=
github.com/cpuguy83/go-md2man/v2 v2.0.2/go.mod h1:tgQtvFlXSQOSOSIRvRPT7W67SCa46tRHOmNcaadrF8o=
@@ -78,8 +80,6 @@ github.com/olekukonko/tablewriter v0.0.5 h1:P2Ga83D34wi1o9J6Wh1mRuqd4mF/x/lgBS7N
github.com/olekukonko/tablewriter v0.0.5/go.mod h1:hPp6KlRPjbx+hW8ykQs1w3UBbZlj6HuIJcUGPhkA7kY=
github.com/pbnjay/memory v0.0.0-20210728143218-7b4eea64cf58 h1:onHthvaw9LFnH4t2DcNVpwGmV9E1BkGknEliJkfwQj0=
github.com/pbnjay/memory v0.0.0-20210728143218-7b4eea64cf58/go.mod h1:DXv8WO4yhMYhSNPKjeNKa5WY9YCIEBRbNzFFPJbWO6Y=
github.com/pdevine/readline v1.5.2 h1:oz6Y5GdTmhPG+08hhxcAvtHitSANWuA2100Sppb38xI=
github.com/pdevine/readline v1.5.2/go.mod h1:na/LbuE5PYwxI7GyopWdIs3U8HVe89lYlNTFTXH3wOw=
github.com/pelletier/go-toml/v2 v2.0.1/go.mod h1:r9LEWfGN8R5k0VXJ+0BkIe7MYkRdwZOjgMj2KwnJFUo=
github.com/pelletier/go-toml/v2 v2.0.8 h1:0ctb6s9mE31h0/lhu+J6OPmVeDxJn+kYnJc2jZR9tGQ=
github.com/pelletier/go-toml/v2 v2.0.8/go.mod h1:vuYfssBdrU2XDZ9bYydBu6t+6a6PYNcZljzZR9VXg+4=
@@ -120,6 +120,7 @@ golang.org/x/arch v0.3.0/go.mod h1:5om86z9Hs0C8fWVUuoMHwpExlXzs5Tkyp9hOrfG7pp8=
golang.org/x/crypto v0.0.0-20210711020723-a769d52b0f97/go.mod h1:GvvjBRRGRdwPK5ydBHafDWAxML/pGHZbMvKqRZ5+Abc=
golang.org/x/crypto v0.10.0 h1:LKqV2xt9+kDzSTfOhx4FrkEBcMrAgHSYgzywV9zcGmM=
golang.org/x/crypto v0.10.0/go.mod h1:o4eNf7Ede1fv+hwOwZsTHl9EsPFO6q6ZvYR8vYfY45I=
golang.org/x/exp v0.0.0-20230321023759-10a507213a29 h1:ooxPy7fPvB4kwsA2h+iBNHkAbp/4JxTSwCmvdjEYmug=
golang.org/x/exp v0.0.0-20230817173708-d852ddb80c63 h1:m64FZMko/V45gv0bNmrNYoDEq8U5YUhetc9cBWKS1TQ=
golang.org/x/exp v0.0.0-20230817173708-d852ddb80c63/go.mod h1:0v4NqG35kSWCMzLaMeX+IQrlSnVE/bqGSyC2cz/9Le8=
golang.org/x/net v0.0.0-20210226172049-e18ecbb05110/go.mod h1:m0MpNAwzfU5UDzcl9v0D8zg8gWTRqZa9RBIspLL5mdg=

View File

@@ -4,6 +4,8 @@ import (
"encoding/binary"
"errors"
"io"
"path"
"sync"
)
type GGML struct {
@@ -164,6 +166,23 @@ func (c *containerLORA) Decode(r io.Reader) (model, error) {
return nil, nil
}
var (
ggmlGPU = path.Join("llama.cpp", "ggml", "build", "gpu", "bin")
ggmlCPU = path.Join("llama.cpp", "ggml", "build", "cpu", "bin")
)
var (
ggmlInit sync.Once
ggmlRunnerPath string
)
func ggmlRunner() ModelRunner {
ggmlInit.Do(func() {
ggmlRunnerPath = chooseRunner(ggmlGPU, ggmlCPU)
})
return ModelRunner{Path: ggmlRunnerPath}
}
const (
// Magic constant for `ggml` files (unversioned).
FILE_MAGIC_GGML = 0x67676d6c

View File

@@ -6,6 +6,8 @@ import (
"errors"
"fmt"
"io"
"path"
"sync"
)
type containerGGUF struct {
@@ -367,3 +369,21 @@ func (llm *ggufModel) readArray(r io.Reader) (arr []any, err error) {
return
}
var (
ggufGPU = path.Join("llama.cpp", "gguf", "build", "gpu", "bin")
ggufCPU = path.Join("llama.cpp", "gguf", "build", "cpu", "bin")
)
var (
ggufInit sync.Once
ggufRunnerPath string
)
func ggufRunner() ModelRunner {
ggufInit.Do(func() {
ggufRunnerPath = chooseRunner(ggufGPU, ggufCPU)
})
return ModelRunner{Path: ggufRunnerPath}
}

View File

@@ -1,14 +1,17 @@
//go:build !darwin
// +build !darwin
package llm
//go:generate git submodule init
//go:generate git submodule update --force ggml
//go:generate git -C ggml apply ../patches/0001-add-detokenize-endpoint.patch
//go:generate git -C ggml apply ../patches/0002-34B-model-support.patch
//go:generate -command git-apply git -C ggml apply
//go:generate git-apply ../ggml_patch/0001-add-detokenize-endpoint.patch
//go:generate git-apply ../ggml_patch/0002-34B-model-support.patch
//go:generate cmake -S ggml -B ggml/build/cpu -DLLAMA_K_QUANTS=on
//go:generate cmake --build ggml/build/cpu --target server --config Release
//go:generate git submodule update --force gguf
//go:generate git -C gguf apply ../patches/0001-remove-warm-up-logging.patch
//go:generate cmake -S gguf -B gguf/build/cpu -DLLAMA_K_QUANTS=on
//go:generate cmake --build gguf/build/cpu --target server --config Release

View File

@@ -3,14 +3,14 @@ package llm
//go:generate git submodule init
//go:generate git submodule update --force ggml
//go:generate git -C ggml apply ../patches/0001-add-detokenize-endpoint.patch
//go:generate git -C ggml apply ../patches/0002-34B-model-support.patch
//go:generate git -C ggml apply ../patches/0003-metal-fix-synchronization-in-new-matrix-multiplicati.patch
//go:generate git -C ggml apply ../patches/0004-metal-add-missing-barriers-for-mul-mat-2699.patch
//go:generate -command git-apply git -C ggml apply
//go:generate git-apply ../ggml_patch/0001-add-detokenize-endpoint.patch
//go:generate git-apply ../ggml_patch/0002-34B-model-support.patch
//go:generate git-apply ../ggml_patch/0003-metal-fix-synchronization-in-new-matrix-multiplicati.patch
//go:generate git-apply ../ggml_patch/0004-metal-add-missing-barriers-for-mul-mat-2699.patch
//go:generate cmake -S ggml -B ggml/build/cpu -DLLAMA_ACCELERATE=on -DLLAMA_K_QUANTS=on -DCMAKE_SYSTEM_PROCESSOR=x86_64 -DCMAKE_OSX_ARCHITECTURES=x86_64 -DCMAKE_OSX_DEPLOYMENT_TARGET=11.0
//go:generate cmake --build ggml/build/cpu --target server --config Release
//go:generate git submodule update --force gguf
//go:generate git -C gguf apply ../patches/0001-remove-warm-up-logging.patch
//go:generate cmake -S gguf -B gguf/build/cpu -DLLAMA_ACCELERATE=on -DLLAMA_K_QUANTS=on -DCMAKE_SYSTEM_PROCESSOR=x86_64 -DCMAKE_OSX_ARCHITECTURES=x86_64 -DCMAKE_OSX_DEPLOYMENT_TARGET=11.0
//go:generate cmake --build gguf/build/cpu --target server --config Release

View File

@@ -3,14 +3,14 @@ package llm
//go:generate git submodule init
//go:generate git submodule update --force ggml
//go:generate git -C ggml apply ../patches/0001-add-detokenize-endpoint.patch
//go:generate git -C ggml apply ../patches/0002-34B-model-support.patch
//go:generate git -C ggml apply ../patches/0003-metal-fix-synchronization-in-new-matrix-multiplicati.patch
//go:generate git -C ggml apply ../patches/0004-metal-add-missing-barriers-for-mul-mat-2699.patch
//go:generate cmake -S ggml -B ggml/build/metal -DLLAMA_METAL=on -DLLAMA_ACCELERATE=on -DLLAMA_K_QUANTS=on -DCMAKE_SYSTEM_PROCESSOR=arm64 -DCMAKE_OSX_ARCHITECTURES=arm64 -DCMAKE_OSX_DEPLOYMENT_TARGET=11.0
//go:generate cmake --build ggml/build/metal --target server --config Release
//go:generate -command git-apply git -C ggml apply
//go:generate git-apply ../ggml_patch/0001-add-detokenize-endpoint.patch
//go:generate git-apply ../ggml_patch/0002-34B-model-support.patch
//go:generate git-apply ../ggml_patch/0003-metal-fix-synchronization-in-new-matrix-multiplicati.patch
//go:generate git-apply ../ggml_patch/0004-metal-add-missing-barriers-for-mul-mat-2699.patch
//go:generate cmake -S ggml -B ggml/build/gpu -DLLAMA_METAL=on -DLLAMA_ACCELERATE=on -DLLAMA_K_QUANTS=on -DCMAKE_SYSTEM_PROCESSOR=arm64 -DCMAKE_OSX_ARCHITECTURES=arm64 -DCMAKE_OSX_DEPLOYMENT_TARGET=11.0
//go:generate cmake --build ggml/build/gpu --target server --config Release
//go:generate git submodule update --force gguf
//go:generate git -C gguf apply ../patches/0001-remove-warm-up-logging.patch
//go:generate cmake -S gguf -B gguf/build/metal -DLLAMA_METAL=on -DLLAMA_ACCELERATE=on -DLLAMA_K_QUANTS=on -DCMAKE_SYSTEM_PROCESSOR=arm64 -DCMAKE_OSX_ARCHITECTURES=arm64 -DCMAKE_OSX_DEPLOYMENT_TARGET=11.0
//go:generate cmake --build gguf/build/metal --target server --config Release
//go:generate cmake -S gguf -B gguf/build/gpu -DLLAMA_METAL=on -DLLAMA_ACCELERATE=on -DLLAMA_K_QUANTS=on -DCMAKE_SYSTEM_PROCESSOR=arm64 -DCMAKE_OSX_ARCHITECTURES=arm64 -DCMAKE_OSX_DEPLOYMENT_TARGET=11.0
//go:generate cmake --build gguf/build/gpu --target server --config Release

View File

@@ -3,20 +3,13 @@ package llm
//go:generate git submodule init
//go:generate git submodule update --force ggml
//go:generate git -C ggml apply ../patches/0001-add-detokenize-endpoint.patch
//go:generate git -C ggml apply ../patches/0002-34B-model-support.patch
//go:generate git -C ggml apply ../patches/0005-ggml-support-CUDA-s-half-type-for-aarch64-1455-2670.patch
//go:generate git -C ggml apply ../patches/0001-copy-cuda-runtime-libraries.patch
//go:generate cmake -S ggml -B ggml/build/cpu -DLLAMA_K_QUANTS=on
//go:generate cmake --build ggml/build/cpu --target server --config Release
//go:generate -command git-apply git -C ggml apply
//go:generate git-apply ../ggml_patch/0001-add-detokenize-endpoint.patch
//go:generate git-apply ../ggml_patch/0002-34B-model-support.patch
//go:generate git-apply ../ggml_patch/0005-ggml-support-CUDA-s-half-type-for-aarch64-1455-2670.patch
//go:generate cmake -S ggml -B ggml/build/gpu -DLLAMA_CUBLAS=on -DLLAMA_ACCELERATE=on -DLLAMA_K_QUANTS=on
//go:generate cmake --build ggml/build/gpu --target server --config Release
//go:generate git submodule update --force gguf
//go:generate git -C gguf apply ../patches/0001-copy-cuda-runtime-libraries.patch
//go:generate git -C gguf apply ../patches/0001-remove-warm-up-logging.patch
//go:generate cmake -S gguf -B gguf/build/cpu -DLLAMA_K_QUANTS=on
//go:generate cmake --build gguf/build/cpu --target server --config Release
//go:generate cmake -S ggml -B ggml/build/cuda -DLLAMA_CUBLAS=on -DLLAMA_ACCELERATE=on -DLLAMA_K_QUANTS=on
//go:generate cmake --build ggml/build/cuda --target server --config Release
//go:generate cmake -S gguf -B gguf/build/cuda -DLLAMA_CUBLAS=on -DLLAMA_ACCELERATE=on -DLLAMA_K_QUANTS=on
//go:generate cmake --build gguf/build/cuda --target server --config Release
//go:generate cmake -S gguf -B gguf/build/gpu -DLLAMA_CUBLAS=on -DLLAMA_ACCELERATE=on -DLLAMA_K_QUANTS=on
//go:generate cmake --build gguf/build/gpu --target server --config Release

View File

@@ -0,0 +1,32 @@
From 8c0ea847ac1460bca534d92266e3471cb31471be Mon Sep 17 00:00:00 2001
From: Bruce MacDonald <brucewmacdonald@gmail.com>
Date: Tue, 5 Sep 2023 16:05:08 -0400
Subject: [PATCH] metal: add missing barriers for mul-mat #2699
---
ggml-metal.metal | 2 ++
1 file changed, 2 insertions(+)
diff --git a/ggml-metal.metal b/ggml-metal.metal
index 3f31252..ce3541f 100644
--- a/ggml-metal.metal
+++ b/ggml-metal.metal
@@ -1850,6 +1850,7 @@ kernel void kernel_mul_mm(device const uchar * src0,
//load data and store to threadgroup memory
half4x4 temp_a;
dequantize_func(x, il, temp_a);
+ threadgroup_barrier(mem_flags::mem_threadgroup);
#pragma unroll(16)
for (int i = 0; i < 16; i++) {
*(sa + SG_MAT_SIZE * ((tiitg / THREAD_PER_ROW / 8) \
@@ -1895,6 +1896,7 @@ kernel void kernel_mul_mm(device const uchar * src0,
}
} else {
// block is smaller than 64x32, we should avoid writing data outside of the matrix
+ threadgroup_barrier(mem_flags::mem_threadgroup);
threadgroup float *temp_str = ((threadgroup float *)shared_memory) \
+ 32 * (sgitg&1) + (16 * (sgitg>>1)) * BLOCK_SIZE_M;
for (int i = 0; i < 8; i++) {
--
2.39.2 (Apple Git-143)

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@@ -1,27 +0,0 @@
From 5dd02993e8cc2ce309157736b95bb572f274a3fd Mon Sep 17 00:00:00 2001
From: Michael Yang <mxyng@pm.me>
Date: Wed, 20 Sep 2023 14:19:52 -0700
Subject: [PATCH] copy cuda runtime libraries
---
CMakeLists.txt | 4 ++++
1 file changed, 4 insertions(+)
diff --git a/CMakeLists.txt b/CMakeLists.txt
index 824d9f2..dd24137 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -274,6 +274,10 @@ if (LLAMA_CUBLAS)
set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} CUDA::cudart CUDA::cublas CUDA::cublasLt)
endif()
+ configure_file(${CUDAToolkit_LIBRARY_DIR}/libcudart.so ${CMAKE_RUNTIME_OUTPUT_DIRECTORY}/libcudart.so.${CUDAToolkit_VERSION_MAJOR}.0 COPYONLY)
+ configure_file(${CUDAToolkit_LIBRARY_DIR}/libcublas.so ${CMAKE_RUNTIME_OUTPUT_DIRECTORY}/libcublas.so.${CUDAToolkit_VERSION_MAJOR} COPYONLY)
+ configure_file(${CUDAToolkit_LIBRARY_DIR}/libcublasLt.so ${CMAKE_RUNTIME_OUTPUT_DIRECTORY}/libcublasLt.so.${CUDAToolkit_VERSION_MAJOR} COPYONLY)
+
if (NOT DEFINED CMAKE_CUDA_ARCHITECTURES)
# 52 == lowest CUDA 12 standard
# 60 == f16 CUDA intrinsics
--
2.42.0

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@@ -1,25 +0,0 @@
From 07993bdc35345b67b27aa649a7c099ad42d80c4c Mon Sep 17 00:00:00 2001
From: Michael Yang <mxyng@pm.me>
Date: Thu, 21 Sep 2023 14:43:21 -0700
Subject: [PATCH] remove warm up logging
---
common/common.cpp | 2 --
1 file changed, 2 deletions(-)
diff --git a/common/common.cpp b/common/common.cpp
index 2597ba0..b56549b 100644
--- a/common/common.cpp
+++ b/common/common.cpp
@@ -780,8 +780,6 @@ std::tuple<struct llama_model *, struct llama_context *> llama_init_from_gpt_par
}
{
- LOG("warming up the model with an empty run\n");
-
const std::vector<llama_token> tmp = { llama_token_bos(lctx), llama_token_eos(lctx), };
llama_eval(lctx, tmp.data(), std::min(tmp.size(), (size_t) params.n_batch), 0, params.n_threads);
llama_reset_timings(lctx);
--
2.42.0

View File

@@ -28,93 +28,71 @@ import (
//go:embed llama.cpp/*/build/*/bin/*
var llamaCppEmbed embed.FS
type ModelRunner struct {
Path string // path to the model runner executable
func osPath(llamaPath string) string {
if runtime.GOOS == "windows" {
return path.Join(llamaPath, "Release")
}
return llamaPath
}
func chooseRunners(workDir, runnerType string) []ModelRunner {
buildPath := path.Join("llama.cpp", runnerType, "build")
var runners []string
func chooseRunner(gpuPath, cpuPath string) string {
tmpDir, err := os.MkdirTemp("", "llama-*")
if err != nil {
log.Fatalf("llama.cpp: failed to create temp dir: %v", err)
}
// set the runners based on the OS
// IMPORTANT: the order of the runners in the array is the priority order
llamaPath := osPath(gpuPath)
if _, err := fs.Stat(llamaCppEmbed, llamaPath); err != nil {
llamaPath = osPath(cpuPath)
if _, err := fs.Stat(llamaCppEmbed, llamaPath); err != nil {
log.Fatalf("llama.cpp executable not found")
}
}
files := []string{"server"}
switch runtime.GOOS {
case "windows":
files = []string{"server.exe"}
case "darwin":
runners = []string{
path.Join(buildPath, "metal", "bin", "server"),
path.Join(buildPath, "cpu", "bin", "server"),
if llamaPath == osPath(gpuPath) {
files = append(files, "ggml-metal.metal")
}
case "linux":
runners = []string{
path.Join(buildPath, "cuda", "bin", "server"),
path.Join(buildPath, "cpu", "bin", "server"),
}
case "windows":
// TODO: select windows GPU runner here when available
runners = []string{
path.Join(buildPath, "cpu", "bin", "Release", "server.exe"),
}
default:
log.Printf("unknown OS, running on CPU: %s", runtime.GOOS)
runners = []string{
path.Join(buildPath, "cpu", "bin", "server"),
// check if there is a GPU available
if _, err := CheckVRAM(); errors.Is(err, errNoGPU) {
// this error was logged on start-up, so we don't need to log it again
llamaPath = osPath(cpuPath)
}
}
runnerAvailable := false // if no runner files are found in the embed, this flag will cause a fast fail
for _, r := range runners {
// find all the files in the runner's bin directory
files, err := fs.Glob(llamaCppEmbed, filepath.Join(filepath.Dir(r), "*"))
for _, f := range files {
srcPath := path.Join(llamaPath, f)
destPath := filepath.Join(tmpDir, f)
srcFile, err := llamaCppEmbed.Open(srcPath)
if err != nil {
// this is expected, ollama may be compiled without all runners packed in
log.Printf("%s runner not found: %v", r, err)
continue
log.Fatalf("read llama.cpp %s: %v", f, err)
}
runnerAvailable = true
defer srcFile.Close()
for _, f := range files {
srcFile, err := llamaCppEmbed.Open(f)
if err != nil {
log.Fatalf("read llama runner %s: %v", f, err)
}
defer srcFile.Close()
destFile, err := os.OpenFile(destPath, os.O_WRONLY|os.O_CREATE|os.O_TRUNC, 0o755)
if err != nil {
log.Fatalf("write llama.cpp %s: %v", f, err)
}
defer destFile.Close()
// create the directory in case it does not exist
destPath := filepath.Join(workDir, filepath.Dir(f))
if err := os.MkdirAll(destPath, 0o755); err != nil {
log.Fatalf("create runner temp dir %s: %v", filepath.Dir(f), err)
}
destFile := filepath.Join(destPath, filepath.Base(f))
_, 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 {
log.Fatalf("write llama runner %s: %v", f, err)
}
defer destFile.Close()
if _, err := io.Copy(destFile, srcFile); err != nil {
log.Fatalf("copy llama runner %s: %v", f, err)
}
case err != nil:
log.Fatalf("stat llama runner %s: %v", f, err)
}
if _, err := io.Copy(destFile, srcFile); err != nil {
log.Fatalf("copy llama.cpp %s: %v", f, err)
}
}
if !runnerAvailable {
log.Fatalf("%s runner not found", runnerType)
runPath := filepath.Join(tmpDir, "server")
if runtime.GOOS == "windows" {
runPath = filepath.Join(tmpDir, "server.exe")
}
// return the runners to try in priority order
localRunnersByPriority := []ModelRunner{}
for _, r := range runners {
localRunnersByPriority = append(localRunnersByPriority, ModelRunner{Path: path.Join(workDir, r)})
}
return localRunnersByPriority
return runPath
}
type llamaModel struct {
@@ -175,6 +153,10 @@ type Running struct {
Cancel context.CancelFunc
}
type ModelRunner struct {
Path string // path to the model runner executable
}
type llama struct {
api.Options
Running
@@ -246,11 +228,15 @@ func NumGPU(opts api.Options) int {
return n
}
func newLlama(model string, adapters []string, runners []ModelRunner, opts api.Options) (*llama, error) {
func newLlama(model string, adapters []string, runner ModelRunner, opts api.Options) (*llama, error) {
if _, err := os.Stat(model); err != nil {
return nil, err
}
if _, err := os.Stat(runner.Path); err != nil {
return nil, err
}
if len(adapters) > 1 {
return nil, errors.New("ollama supports only one lora adapter, but multiple were provided")
}
@@ -292,12 +278,7 @@ func newLlama(model string, adapters []string, runners []ModelRunner, opts api.O
}
// start the llama.cpp server with a retry in case the port is already in use
for _, runner := range runners {
if _, err := os.Stat(runner.Path); err != nil {
log.Printf("llama runner not found: %v", err)
continue
}
for try := 0; try < 3; try++ {
port := rand.Intn(65535-49152) + 49152 // get a random port in the ephemeral range
ctx, cancel := context.WithCancel(context.Background())
cmd := exec.CommandContext(
@@ -305,30 +286,20 @@ func newLlama(model string, adapters []string, runners []ModelRunner, opts api.O
runner.Path,
append(params, "--port", strconv.Itoa(port))...,
)
cmd.Env = append(os.Environ(), fmt.Sprintf("LD_LIBRARY_PATH=%s", filepath.Dir(runner.Path)))
cmd.Stdout = os.Stderr
cmd.Stderr = os.Stderr
llm := &llama{Options: opts, Running: Running{Port: port, Cmd: cmd, Cancel: cancel}}
log.Print("starting llama runner")
log.Print("starting llama.cpp server")
if err := llm.Cmd.Start(); err != nil {
log.Printf("error starting the external llama runner: %v", err)
log.Printf("error starting the external llama.cpp server: %v", err)
continue
}
// monitor the command, it is blocking, so if it exits we need to capture that
go func() {
err := llm.Cmd.Wait() // this will block until the command exits
if err != nil {
log.Printf("llama runner exited with error: %v", err)
} else {
log.Printf("llama runner exited")
}
}()
if err := waitForServer(llm); err != nil {
log.Printf("error starting llama runner: %v", err)
log.Printf("error starting llama.cpp server: %v", err)
llm.Close()
// try again
continue
@@ -338,24 +309,19 @@ func newLlama(model string, adapters []string, runners []ModelRunner, opts api.O
return llm, nil
}
return nil, fmt.Errorf("failed to start a llama runner")
return nil, fmt.Errorf("max retry exceeded starting llama.cpp")
}
func waitForServer(llm *llama) error {
// wait for the server to start responding
start := time.Now()
expiresAt := time.Now().Add(2 * time.Minute) // be generous with timeout, large models can take a while to load
expiresAt := time.Now().Add(45 * time.Second)
ticker := time.NewTicker(200 * time.Millisecond)
log.Print("waiting for llama runner to start responding")
log.Print("waiting for llama.cpp server to start responding")
for range ticker.C {
if time.Now().After(expiresAt) {
return fmt.Errorf("llama runner did not start within alloted time, retrying")
}
// check if the server process has terminated
if llm.Cmd.ProcessState != nil && llm.Cmd.ProcessState.Exited() {
return fmt.Errorf("llama runner process has terminated")
return fmt.Errorf("llama.cpp server did not start within alloted time, retrying")
}
if err := llm.Ping(context.Background()); err == nil {
@@ -363,12 +329,15 @@ func waitForServer(llm *llama) error {
}
}
log.Printf("llama runner started in %f seconds", time.Since(start).Seconds())
log.Printf("llama.cpp server started in %f seconds", time.Since(start).Seconds())
return nil
}
func (llm *llama) Close() {
llm.Cancel()
if err := llm.Cmd.Wait(); err != nil {
log.Printf("llama.cpp server exited with error: %v", err)
}
}
func (llm *llama) SetOptions(opts api.Options) {

View File

@@ -21,7 +21,7 @@ type LLM interface {
Ping(context.Context) error
}
func New(workDir, model string, adapters []string, opts api.Options) (LLM, error) {
func New(model string, adapters []string, opts api.Options) (LLM, error) {
if _, err := os.Stat(model); err != nil {
return nil, err
}
@@ -91,9 +91,9 @@ func New(workDir, model string, adapters []string, opts api.Options) (LLM, error
switch ggml.Name() {
case "gguf":
opts.NumGQA = 0 // TODO: remove this when llama.cpp runners differ enough to need separate newLlama functions
return newLlama(model, adapters, chooseRunners(workDir, "gguf"), opts)
return newLlama(model, adapters, ggufRunner(), opts)
case "ggml", "ggmf", "ggjt", "ggla":
return newLlama(model, adapters, chooseRunners(workDir, "ggml"), opts)
return newLlama(model, adapters, ggmlRunner(), opts)
default:
return nil, fmt.Errorf("unknown ggml type: %s", ggml.ModelFamily())
}

View File

@@ -1,12 +0,0 @@
#!/bin/bash
set -e
mkdir -p dist
for ARCH in arm64 amd64; do
docker buildx build --platform=linux/$ARCH -f Dockerfile.build . -t builder:$ARCH --load
docker create --platform linux/$ARCH --name builder builder:$ARCH
docker cp builder:/go/src/github.com/jmorganca/ollama/ollama ./dist/ollama-linux-$ARCH
docker rm builder
done

View File

@@ -1,160 +0,0 @@
#!/bin/sh
# This script installs Ollama on Linux.
# It detects the current operating system architecture and installs the appropriate version of Ollama.
set -eu
check_os() {
if [ "$(uname -s)" != "Linux" ]; then
echo "This script is intended to run on Linux only."
exit 1
fi
}
determine_architecture() {
ARCH=$(uname -m)
case $ARCH in
x86_64)
ARCH_SUFFIX="amd64"
;;
aarch64|arm64)
ARCH_SUFFIX="arm64"
;;
*)
echo "Unsupported architecture: $ARCH"
exit 1
;;
esac
}
check_sudo() {
if [ "$(id -u)" -ne 0 ]; then
if command -v sudo >/dev/null 2>&1; then
SUDO_CMD="sudo"
echo "Downloading the ollama executable to the PATH, this will require sudo permissions."
else
echo "Error: sudo is not available. Please run as root or install sudo."
exit 1
fi
else
SUDO_CMD=""
fi
}
install_cuda_drivers() {
local os_name os_version
if [ -f "/etc/os-release" ]; then
. /etc/os-release
os_name=$ID
os_version=$VERSION_ID
else
echo "Unable to detect operating system. Skipping CUDA installation."
return 1
fi
# based on https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#package-manager-installation
case $os_name in
CentOS)
$SUDO_CMD yum install yum-utils
$SUDO_CMD yum-config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/rhel7/x86_64/cuda-rhel7.repo
$SUDO_CMD yum clean all
$SUDO_CMD yum -y install nvidia-driver-latest-dkms
$SUDO_CMD yum -y install cuda-driver
$SUDO_CMD yum install kernel-devel-$(uname -r) kernel-headers-$(uname -r)
$SUDO_CMD dkms status | awk -F: '/added/ { print $1 }' | xargs -n1 $SUDO_CMD dkms install
$SUDO_CMD modprobe nvidia
;;
ubuntu)
case $os_version in
20.04)
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-keyring_1.1-1_all.deb
;;
22.04)
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb
;;
*)
echo "Skipping automatic CUDA installation, not supported for Ubuntu ($os_version)."
return
;;
esac
$SUDO_CMD dpkg -i cuda-keyring_1.1-1_all.deb
$SUDO_CMD apt-get update
$SUDO_CMD apt-get -y install cuda-drivers
;;
RedHatEnterprise*|Kylin|Fedora|SLES|openSUSE*|Microsoft|Debian)
echo "NVIDIA CUDA drivers may not be installed, you can install them from: https://developer.nvidia.com/cuda-downloads"
;;
*)
echo "Unsupported or unknown distribution, skipping GPU CUDA driver install: $os_name"
;;
esac
}
check_install_cuda_drivers() {
if lspci -d '10de:' | grep 'NVIDIA' >/dev/null; then
# NVIDIA Corporation [10de] device is available
if command -v nvidia-smi >/dev/null 2>&1; then
CUDA_VERSION=$(nvidia-smi | grep -o "CUDA Version: [0-9]*\.[0-9]*")
if [ -z "$CUDA_VERSION" ]; then
echo "Warning: NVIDIA-SMI is available, but the CUDA version cannot be detected. Installing CUDA drivers..."
install_cuda_drivers
else
echo "Detected CUDA version $CUDA_VERSION"
fi
else
echo "Warning: NVIDIA GPU detected but NVIDIA-SMI is not available. Installing CUDA drivers..."
install_cuda_drivers
fi
else
echo "No NVIDIA GPU detected. Skipping driver installation."
fi
}
download_ollama() {
$SUDO_CMD mkdir -p /usr/bin
$SUDO_CMD curl -fsSL -o /usr/bin/ollama "https://ollama.ai/download/latest/ollama-linux-$ARCH_SUFFIX"
}
configure_systemd() {
if command -v systemctl >/dev/null 2>&1; then
$SUDO_CMD useradd -r -s /bin/false -m -d /home/ollama ollama 2>/dev/null
echo "Creating systemd service file for ollama..."
cat <<EOF | $SUDO_CMD tee /etc/systemd/system/ollama.service >/dev/null
[Unit]
Description=Ollama Service
After=network-online.target
[Service]
ExecStart=/usr/bin/ollama serve
User=ollama
Group=ollama
Restart=always
RestartSec=3
Environment="HOME=/home/ollama"
[Install]
WantedBy=default.target
EOF
echo "Reloading systemd and enabling ollama service..."
if [ "$(systemctl is-system-running || echo 'not running')" = 'running' ]; then
$SUDO_CMD systemctl daemon-reload
$SUDO_CMD systemctl enable ollama
$SUDO_CMD systemctl restart ollama
fi
else
echo "Run 'ollama serve' from the command line to start the service."
fi
}
main() {
check_os
determine_architecture
check_sudo
download_ollama
configure_systemd
check_install_cuda_drivers
echo "Installation complete. You can now run 'ollama' from the command line."
}
main

View File

@@ -14,7 +14,7 @@ import (
"net/http"
"net/url"
"os"
"path/filepath"
"path"
"strconv"
"strings"
"time"
@@ -71,7 +71,7 @@ func (r AuthRedirect) URL() (*url.URL, error) {
return redirectURL, nil
}
func getAuthToken(ctx context.Context, redirData AuthRedirect) (string, error) {
func getAuthToken(ctx context.Context, redirData AuthRedirect, regOpts *RegistryOptions) (string, error) {
redirectURL, err := redirData.URL()
if err != nil {
return "", err
@@ -82,7 +82,7 @@ func getAuthToken(ctx context.Context, redirData AuthRedirect) (string, error) {
return "", err
}
keyPath := filepath.Join(home, ".ollama", "id_ed25519")
keyPath := path.Join(home, ".ollama", "id_ed25519")
rawKey, err := os.ReadFile(keyPath)
if err != nil {

View File

@@ -8,7 +8,7 @@ import (
"log"
"net/http"
"os"
"path/filepath"
"path"
"strconv"
"sync"
"time"
@@ -173,7 +173,7 @@ func doDownload(ctx context.Context, opts downloadOpts, f *FileDownload) error {
return fmt.Errorf("%w: on download registry responded with code %d: %v", errDownload, resp.StatusCode, string(body))
}
err = os.MkdirAll(filepath.Dir(f.FilePath), 0o700)
err = os.MkdirAll(path.Dir(f.FilePath), 0o700)
if err != nil {
return fmt.Errorf("make blobs directory: %w", err)
}

View File

@@ -14,6 +14,7 @@ import (
"net/http"
"net/url"
"os"
"path"
"path/filepath"
"reflect"
"runtime"
@@ -267,7 +268,7 @@ func filenameWithPath(path, f string) (string, error) {
return f, nil
}
func CreateModel(ctx context.Context, workDir, name string, path string, fn func(resp api.ProgressResponse)) error {
func CreateModel(ctx context.Context, name string, path string, fn func(resp api.ProgressResponse)) error {
mp := ParseModelPath(name)
var manifest *ManifestV2
@@ -390,7 +391,7 @@ func CreateModel(ctx context.Context, workDir, name string, path string, fn func
return err
}
// copy the model metadata
// copie the model metadata
config.ModelFamily = source.ModelFamily
config.ModelType = source.ModelType
config.ModelFormat = source.ModelFormat
@@ -460,10 +461,8 @@ func CreateModel(ctx context.Context, workDir, name string, path string, fn func
return err
}
if layer.Size > 0 {
layer.MediaType = mediaType
layers = append(layers, layer)
}
layer.MediaType = mediaType
layers = append(layers, layer)
case "template", "system", "prompt":
fn(api.ProgressResponse{Status: fmt.Sprintf("creating model %s layer", c.Name)})
// remove the layer if one exists
@@ -475,10 +474,8 @@ func CreateModel(ctx context.Context, workDir, name string, path string, fn func
return err
}
if layer.Size > 0 {
layer.MediaType = mediaType
layers = append(layers, layer)
}
layer.MediaType = mediaType
layers = append(layers, layer)
default:
// runtime parameters, build a list of args for each parameter to allow multiple values to be specified (ex: multiple stop sequences)
params[c.Name] = append(params[c.Name], c.Args)
@@ -524,7 +521,7 @@ func CreateModel(ctx context.Context, workDir, name string, path string, fn func
}
// generate the embedding layers
embeddingLayers, err := embeddingLayers(workDir, embed)
embeddingLayers, err := embeddingLayers(embed)
if err != nil {
return err
}
@@ -581,7 +578,7 @@ type EmbeddingParams struct {
}
// embeddingLayers loads the associated LLM and generates the embeddings to be stored from an input file
func embeddingLayers(workDir string, e EmbeddingParams) ([]*LayerReader, error) {
func embeddingLayers(e EmbeddingParams) ([]*LayerReader, error) {
layers := []*LayerReader{}
if len(e.files) > 0 {
// check if the model is a file path or a model name
@@ -594,7 +591,7 @@ func embeddingLayers(workDir string, e EmbeddingParams) ([]*LayerReader, error)
model = &Model{ModelPath: e.model}
}
if err := load(context.Background(), workDir, model, e.opts, defaultSessionDuration); err != nil {
if err := load(context.Background(), model, e.opts, defaultSessionDuration); err != nil {
return nil, fmt.Errorf("load model to generate embeddings: %v", err)
}
@@ -1154,14 +1151,14 @@ func PushModel(ctx context.Context, name string, regOpts *RegistryOptions, fn fu
Total: layer.Size,
})
location, chunkSize, err := startUpload(ctx, mp, layer, regOpts)
location, err := startUpload(ctx, mp, layer, regOpts)
if err != nil {
log.Printf("couldn't start upload: %v", err)
return err
}
if strings.HasPrefix(filepath.Base(location.Path), "sha256:") {
layer.Digest = filepath.Base(location.Path)
if strings.HasPrefix(path.Base(location.Path), "sha256:") {
layer.Digest = path.Base(location.Path)
fn(api.ProgressResponse{
Status: "using existing layer",
Digest: layer.Digest,
@@ -1171,7 +1168,7 @@ func PushModel(ctx context.Context, name string, regOpts *RegistryOptions, fn fu
continue
}
if err := uploadBlob(ctx, location, layer, chunkSize, regOpts, fn); err != nil {
if err := uploadBlobChunked(ctx, location, layer, regOpts, fn); err != nil {
log.Printf("error uploading blob: %v", err)
return err
}
@@ -1397,7 +1394,7 @@ func makeRequestWithRetry(ctx context.Context, method string, requestURL *url.UR
case resp.StatusCode == http.StatusUnauthorized:
auth := resp.Header.Get("www-authenticate")
authRedir := ParseAuthRedirectString(auth)
token, err := getAuthToken(ctx, authRedir)
token, err := getAuthToken(ctx, authRedir, regOpts)
if err != nil {
return nil, err
}
@@ -1445,15 +1442,6 @@ func makeRequest(ctx context.Context, method string, requestURL *url.URL, header
req.Header.Set("User-Agent", fmt.Sprintf("ollama/%s (%s %s) Go/%s", version.Version, runtime.GOARCH, runtime.GOOS, runtime.Version()))
if s := req.Header.Get("Content-Length"); s != "" {
contentLength, err := strconv.ParseInt(s, 10, 64)
if err != nil {
return nil, err
}
req.ContentLength = contentLength
}
client := &http.Client{
CheckRedirect: func(req *http.Request, via []*http.Request) error {
if len(via) >= 10 {

View File

@@ -58,7 +58,7 @@ var loaded struct {
var defaultSessionDuration = 5 * time.Minute
// load a model into memory if it is not already loaded, it is up to the caller to lock loaded.mu before calling this function
func load(ctx context.Context, workDir string, model *Model, reqOpts map[string]interface{}, sessionDuration time.Duration) error {
func load(ctx context.Context, model *Model, reqOpts map[string]interface{}, sessionDuration time.Duration) error {
opts := api.DefaultOptions()
if err := opts.FromMap(model.Options); err != nil {
log.Printf("could not load model options: %v", err)
@@ -94,7 +94,7 @@ func load(ctx context.Context, workDir string, model *Model, reqOpts map[string]
loaded.Embeddings = model.Embeddings
}
llmModel, err := llm.New(workDir, model.ModelPath, model.AdapterPaths, opts)
llmModel, err := llm.New(model.ModelPath, model.AdapterPaths, opts)
if err != nil {
return err
}
@@ -130,7 +130,6 @@ func load(ctx context.Context, workDir string, model *Model, reqOpts map[string]
llmModel.SetOptions(opts)
}
}
loaded.expireAt = time.Now().Add(sessionDuration)
if loaded.expireTimer == nil {
@@ -151,7 +150,6 @@ func load(ctx context.Context, workDir string, model *Model, reqOpts map[string]
loaded.digest = ""
})
}
loaded.expireTimer.Reset(sessionDuration)
return nil
}
@@ -174,11 +172,8 @@ func GenerateHandler(c *gin.Context) {
return
}
workDir := c.GetString("workDir")
// TODO: set this duration from the request if specified
sessionDuration := defaultSessionDuration
if err := load(c.Request.Context(), workDir, model, req.Options, sessionDuration); err != nil {
sessionDuration := defaultSessionDuration // TODO: set this duration from the request if specified
if err := load(c.Request.Context(), model, req.Options, sessionDuration); err != nil {
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
@@ -223,13 +218,8 @@ func GenerateHandler(c *gin.Context) {
ch <- r
}
// an empty request loads the model
if req.Prompt == "" && req.Template == "" && req.System == "" {
ch <- api.GenerateResponse{Model: req.Model, Done: true}
} else {
if err := loaded.llm.Predict(c.Request.Context(), req.Context, prompt, fn); err != nil {
ch <- gin.H{"error": err.Error()}
}
if err := loaded.llm.Predict(c.Request.Context(), req.Context, prompt, fn); err != nil {
ch <- gin.H{"error": err.Error()}
}
}()
@@ -251,9 +241,7 @@ func EmbeddingHandler(c *gin.Context) {
c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
return
}
workDir := c.GetString("workDir")
if err := load(c.Request.Context(), workDir, model, req.Options, 5*time.Minute); err != nil {
if err := load(c.Request.Context(), model, req.Options, 5*time.Minute); err != nil {
c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
return
}
@@ -343,8 +331,6 @@ func CreateModelHandler(c *gin.Context) {
return
}
workDir := c.GetString("workDir")
ch := make(chan any)
go func() {
defer close(ch)
@@ -355,7 +341,7 @@ func CreateModelHandler(c *gin.Context) {
ctx, cancel := context.WithCancel(c.Request.Context())
defer cancel()
if err := CreateModel(ctx, workDir, req.Name, req.Path, fn); err != nil {
if err := CreateModel(ctx, req.Name, req.Path, fn); err != nil {
ch <- gin.H{"error": err.Error()}
}
}()
@@ -509,40 +495,33 @@ func CopyModelHandler(c *gin.Context) {
}
}
var defaultAllowOrigins = []string{
"localhost",
"127.0.0.1",
"0.0.0.0",
}
func Serve(ln net.Listener, allowOrigins []string) error {
func Serve(ln net.Listener, origins []string) error {
config := cors.DefaultConfig()
config.AllowWildcard = true
config.AllowOrigins = allowOrigins
for _, allowOrigin := range defaultAllowOrigins {
config.AllowOrigins = append(config.AllowOrigins,
fmt.Sprintf("http://%s", allowOrigin),
fmt.Sprintf("https://%s", allowOrigin),
fmt.Sprintf("http://%s:*", allowOrigin),
fmt.Sprintf("https://%s:*", allowOrigin),
)
}
workDir, err := os.MkdirTemp("", "ollama")
if err != nil {
return err
}
defer os.RemoveAll(workDir)
config.AllowOrigins = append(origins, []string{
"http://localhost",
"http://localhost:*",
"https://localhost",
"https://localhost:*",
"http://127.0.0.1",
"http://127.0.0.1:*",
"https://127.0.0.1",
"https://127.0.0.1:*",
"http://0.0.0.0",
"http://0.0.0.0:*",
"https://0.0.0.0",
"https://0.0.0.0:*",
}...)
r := gin.Default()
r.Use(
cors.New(config),
func(c *gin.Context) {
c.Set("workDir", workDir)
c.Next()
},
)
r.Use(cors.New(config))
r.GET("/", func(c *gin.Context) {
c.String(http.StatusOK, "Ollama is running")
})
r.HEAD("/", func(c *gin.Context) {
c.Status(http.StatusOK)
})
r.POST("/api/pull", PullModelHandler)
r.POST("/api/generate", GenerateHandler)
@@ -550,17 +529,10 @@ func Serve(ln net.Listener, allowOrigins []string) error {
r.POST("/api/create", CreateModelHandler)
r.POST("/api/push", PushModelHandler)
r.POST("/api/copy", CopyModelHandler)
r.GET("/api/tags", ListModelsHandler)
r.DELETE("/api/delete", DeleteModelHandler)
r.POST("/api/show", ShowModelHandler)
for _, method := range []string{http.MethodGet, http.MethodHead} {
r.Handle(method, "/", func(c *gin.Context) {
c.String(http.StatusOK, "Ollama is running")
})
r.Handle(method, "/api/tags", ListModelsHandler)
}
log.Printf("Listening on %s", ln.Addr())
s := &http.Server{
Handler: r,
@@ -568,20 +540,19 @@ func Serve(ln net.Listener, allowOrigins []string) error {
// listen for a ctrl+c and stop any loaded llm
signals := make(chan os.Signal, 1)
signal.Notify(signals, syscall.SIGINT, syscall.SIGTERM)
signal.Notify(signals, syscall.SIGINT)
go func() {
<-signals
if loaded.llm != nil {
loaded.llm.Close()
}
os.RemoveAll(workDir)
os.Exit(0)
}()
if runtime.GOOS == "linux" {
// check compatibility to log warnings
if _, err := llm.CheckVRAM(); err != nil {
log.Printf("Warning: GPU support may not enabled, check you have installed install GPU drivers: %v", err)
log.Printf("Warning: GPU support not enabled, you may need to install GPU drivers: %v", err)
}
}

View File

@@ -14,12 +14,7 @@ import (
"github.com/jmorganca/ollama/api"
)
const (
redirectChunkSize = 1024 * 1024 * 1024
regularChunkSize = 95 * 1024 * 1024
)
func startUpload(ctx context.Context, mp ModelPath, layer *Layer, regOpts *RegistryOptions) (*url.URL, int64, error) {
func startUpload(ctx context.Context, mp ModelPath, layer *Layer, regOpts *RegistryOptions) (*url.URL, error) {
requestURL := mp.BaseURL()
requestURL = requestURL.JoinPath("v2", mp.GetNamespaceRepository(), "blobs/uploads/")
if layer.From != "" {
@@ -32,26 +27,20 @@ func startUpload(ctx context.Context, mp ModelPath, layer *Layer, regOpts *Regis
resp, err := makeRequestWithRetry(ctx, "POST", requestURL, nil, nil, regOpts)
if err != nil {
log.Printf("couldn't start upload: %v", err)
return nil, 0, err
return nil, err
}
defer resp.Body.Close()
location := resp.Header.Get("Docker-Upload-Location")
chunkSize := redirectChunkSize
// Extract UUID location from header
location := resp.Header.Get("Location")
if location == "" {
location = resp.Header.Get("Location")
chunkSize = regularChunkSize
return nil, fmt.Errorf("location header is missing in response")
}
locationURL, err := url.Parse(location)
if err != nil {
return nil, 0, err
}
return locationURL, int64(chunkSize), nil
return url.Parse(location)
}
func uploadBlob(ctx context.Context, requestURL *url.URL, layer *Layer, chunkSize int64, regOpts *RegistryOptions, fn func(api.ProgressResponse)) error {
func uploadBlobChunked(ctx context.Context, requestURL *url.URL, layer *Layer, regOpts *RegistryOptions, fn func(api.ProgressResponse)) error {
// TODO allow resumability
// TODO allow canceling uploads via DELETE
@@ -66,12 +55,8 @@ func uploadBlob(ctx context.Context, requestURL *url.URL, layer *Layer, chunkSiz
}
defer f.Close()
pw := ProgressWriter{
status: fmt.Sprintf("uploading %s", layer.Digest),
digest: layer.Digest,
total: layer.Size,
fn: fn,
}
// 95MB chunk size
chunkSize := 95 * 1024 * 1024
for offset := int64(0); offset < int64(layer.Size); {
chunk := int64(layer.Size) - offset
@@ -79,27 +64,87 @@ func uploadBlob(ctx context.Context, requestURL *url.URL, layer *Layer, chunkSiz
chunk = int64(chunkSize)
}
resp, err := uploadBlobChunk(ctx, http.MethodPatch, requestURL, f, offset, chunk, regOpts, &pw)
if err != nil {
fn(api.ProgressResponse{
Status: fmt.Sprintf("error uploading chunk: %v", err),
Digest: layer.Digest,
Total: layer.Size,
Completed: int(offset),
})
sectionReader := io.NewSectionReader(f, int64(offset), chunk)
for try := 0; try < MaxRetries; try++ {
ch := make(chan error, 1)
return err
}
r, w := io.Pipe()
defer r.Close()
go func() {
defer w.Close()
offset += chunk
location := resp.Header.Get("Docker-Upload-Location")
if location == "" {
location = resp.Header.Get("Location")
}
for chunked := int64(0); chunked < chunk; {
select {
case err := <-ch:
log.Printf("chunk interrupted: %v", err)
return
default:
n, err := io.CopyN(w, sectionReader, 1024*1024)
if err != nil && !errors.Is(err, io.EOF) {
fn(api.ProgressResponse{
Status: fmt.Sprintf("error reading chunk: %v", err),
Digest: layer.Digest,
Total: layer.Size,
Completed: int(offset),
})
requestURL, err = url.Parse(location)
if err != nil {
return err
return
}
chunked += n
fn(api.ProgressResponse{
Status: fmt.Sprintf("uploading %s", layer.Digest),
Digest: layer.Digest,
Total: layer.Size,
Completed: int(offset) + int(chunked),
})
}
}
}()
headers := make(http.Header)
headers.Set("Content-Type", "application/octet-stream")
headers.Set("Content-Length", strconv.Itoa(int(chunk)))
headers.Set("Content-Range", fmt.Sprintf("%d-%d", offset, offset+sectionReader.Size()-1))
resp, err := makeRequest(ctx, "PATCH", requestURL, headers, r, regOpts)
if err != nil && !errors.Is(err, io.EOF) {
fn(api.ProgressResponse{
Status: fmt.Sprintf("error uploading chunk: %v", err),
Digest: layer.Digest,
Total: layer.Size,
Completed: int(offset),
})
return err
}
defer resp.Body.Close()
switch {
case resp.StatusCode == http.StatusUnauthorized:
ch <- errors.New("unauthorized")
auth := resp.Header.Get("www-authenticate")
authRedir := ParseAuthRedirectString(auth)
token, err := getAuthToken(ctx, authRedir, regOpts)
if err != nil {
return err
}
regOpts.Token = token
sectionReader = io.NewSectionReader(f, int64(offset), chunk)
continue
case resp.StatusCode >= http.StatusBadRequest:
body, _ := io.ReadAll(resp.Body)
return fmt.Errorf("on upload registry responded with code %d: %s", resp.StatusCode, body)
}
offset += sectionReader.Size()
requestURL, err = url.Parse(resp.Header.Get("Location"))
if err != nil {
return err
}
break
}
}
@@ -125,90 +170,3 @@ func uploadBlob(ctx context.Context, requestURL *url.URL, layer *Layer, chunkSiz
}
return nil
}
func uploadBlobChunk(ctx context.Context, method string, requestURL *url.URL, r io.ReaderAt, offset, limit int64, opts *RegistryOptions, pw *ProgressWriter) (*http.Response, error) {
sectionReader := io.NewSectionReader(r, int64(offset), limit)
headers := make(http.Header)
headers.Set("Content-Type", "application/octet-stream")
headers.Set("Content-Length", strconv.Itoa(int(limit)))
headers.Set("X-Redirect-Uploads", "1")
if method == http.MethodPatch {
headers.Set("Content-Range", fmt.Sprintf("%d-%d", offset, offset+sectionReader.Size()-1))
}
for try := 0; try < MaxRetries; try++ {
resp, err := makeRequest(ctx, method, requestURL, headers, io.TeeReader(sectionReader, pw), opts)
if err != nil && !errors.Is(err, io.EOF) {
return nil, err
}
defer resp.Body.Close()
switch {
case resp.StatusCode == http.StatusTemporaryRedirect:
location, err := resp.Location()
if err != nil {
return nil, err
}
pw.completed = int(offset)
if _, err := uploadBlobChunk(ctx, http.MethodPut, location, r, offset, limit, nil, pw); err != nil {
// retry
log.Printf("retrying redirected upload: %v", err)
continue
}
return resp, nil
case resp.StatusCode == http.StatusUnauthorized:
auth := resp.Header.Get("www-authenticate")
authRedir := ParseAuthRedirectString(auth)
token, err := getAuthToken(ctx, authRedir)
if err != nil {
return nil, err
}
opts.Token = token
pw.completed = int(offset)
sectionReader = io.NewSectionReader(r, offset, limit)
continue
case resp.StatusCode >= http.StatusBadRequest:
body, _ := io.ReadAll(resp.Body)
return nil, fmt.Errorf("on upload registry responded with code %d: %s", resp.StatusCode, body)
}
return resp, nil
}
return nil, fmt.Errorf("max retries exceeded")
}
type ProgressWriter struct {
status string
digest string
bucket int
completed int
total int
fn func(api.ProgressResponse)
}
func (pw *ProgressWriter) Write(b []byte) (int, error) {
n := len(b)
pw.bucket += n
pw.completed += n
// throttle status updates to not spam the client
if pw.bucket >= 1024*1024 || pw.completed >= pw.total {
pw.fn(api.ProgressResponse{
Status: pw.status,
Digest: pw.digest,
Total: pw.total,
Completed: pw.completed,
})
pw.bucket = 0
}
return n, nil
}