fix vocabulary (#10679)
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a7240c6d63
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526b2ed102
@ -45,6 +45,8 @@ func New(c fs.Config) (model.Model, error) {
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Types: c.Ints("tokenizer.ggml.token_type"),
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BOS: int32(c.Uint("tokenizer.ggml.bos_token_id")),
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EOS: int32(c.Uint("tokenizer.ggml.eos_token_id")),
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// TODO: set EOT to EOS otherwise 0 will stop generation
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EOT: int32(c.Uint("tokenizer.ggml.eos_token_id")),
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},
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),
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Layers: make([]Layer, c.Uint("block_count")),
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@ -7,7 +7,6 @@ import (
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"github.com/ollama/ollama/kvcache"
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"github.com/ollama/ollama/ml"
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"github.com/ollama/ollama/ml/nn"
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"github.com/ollama/ollama/model"
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"github.com/ollama/ollama/model/input"
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)
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@ -20,9 +19,6 @@ type TextConfig struct {
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}
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type TextModel struct {
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model.Base
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model.SentencePieceModel
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TokenEmbedding *nn.Embedding `gguf:"token_embd"`
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Layers []TextLayer `gguf:"blk"`
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OutputNorm *nn.RMSNorm `gguf:"output_norm"`
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@ -45,15 +41,6 @@ func newTextModel(c fs.Config) *TextModel {
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numBlocks := int(c.Uint("block_count"))
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m := TextModel{
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SentencePieceModel: model.NewSentencePieceModel(
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&model.Vocabulary{
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Values: c.Strings("tokenizer.ggml.tokens"),
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Scores: c.Floats("tokenizer.ggml.scores"),
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Types: c.Ints("tokenizer.ggml.token_type"),
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BOS: int32(c.Uint("tokenizer.ggml.bos_token_id")),
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EOS: int32(c.Uint("tokenizer.ggml.eos_token_id")),
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},
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),
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Layers: make([]TextLayer, numBlocks),
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TextConfig: &TextConfig{
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hiddenSize: int(c.Uint("embedding_length")),
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@ -47,6 +47,9 @@ func New(c fs.Config) (model.Model, error) {
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AddBOS: c.Bool("tokenizer.ggml.add_bos_token", true),
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EOS: int32(c.Uint("tokenizer.ggml.eos_token_id")),
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AddEOS: c.Bool("tokenizer.ggml.add_eos_token", false),
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// TODO: set EOT to EOS otherwise 0 will stop generation
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EOT: int32(c.Uint("tokenizer.ggml.eos_token_id")),
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AddEOT: c.Bool("tokenizer.ggml.add_eos_token", false),
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},
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),
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Layers: make([]Layer, c.Uint("block_count")),
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@ -45,6 +45,9 @@ func New(c fs.Config) (model.Model, error) {
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AddBOS: c.Bool("tokenizer.ggml.add_bos_token", true),
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EOS: int32(c.Uint("tokenizer.ggml.eos_token_id")),
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AddEOS: c.Bool("tokenizer.ggml.add_eos_token", false),
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// TODO: set EOT to EOS otherwise 0 will stop generation
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EOT: int32(c.Uint("tokenizer.ggml.eos_token_id")),
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AddEOT: c.Bool("tokenizer.ggml.add_eos_token", false),
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},
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),
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ImageProcessor: newImageProcessor(c),
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@ -16,6 +16,8 @@ import (
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type Model struct {
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model.Base
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model.BytePairEncoding
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*TextModel
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*VisionModel `gguf:"v,vision"`
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*MultiModalProjector `gguf:"mm"`
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@ -40,6 +42,21 @@ func New(c fs.Config) (model.Model, error) {
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VisionModel: newVisionModel(c),
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ImageProcessor: newImageProcessor(c),
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MultiModalProjector: newMultiModalProjector(c),
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BytePairEncoding: model.NewBytePairEncoding(
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c.String("tokenizer.ggml.pretokenizer", `[^\r\n\p{L}\p{N}]?[\p{Lu}\p{Lt}\p{Lm}\p{Lo}\p{M}]*[\p{Ll}\p{Lm}\p{Lo}\p{M}]+|[^\r\n\p{L}\p{N}]?[\p{Lu}\p{Lt}\p{Lm}\p{Lo}\p{M}]+[\p{Ll}\p{Lm}\p{Lo}\p{M}]*|\p{N}| ?[^\s\p{L}\p{N}]+[\r\n/]*|\s*[\r\n]+|\s+(?!\S)|\s+`),
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&model.Vocabulary{
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Values: c.Strings("tokenizer.ggml.tokens"),
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Types: c.Ints("tokenizer.ggml.token_type"),
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Merges: c.Strings("tokenizer.ggml.merges"),
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BOS: int32(c.Uint("tokenizer.ggml.bos_token_id", 1)),
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AddBOS: c.Bool("tokenizer.ggml.add_bos_token", true),
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EOS: int32(c.Uint("tokenizer.ggml.eos_token_id", 2)),
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AddEOS: c.Bool("tokenizer.ggml.add_eos_token", false),
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// TODO: set EOT to EOS otherwise 0 will stop generation
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EOT: int32(c.Uint("tokenizer.ggml.eos_token_id")),
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AddEOT: c.Bool("tokenizer.ggml.add_eos_token", false),
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},
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),
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}
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m.Cache = kvcache.NewCausalCache(m.TextModel.Shift)
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@ -21,7 +21,6 @@ type TextOptions struct {
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type TextModel struct {
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model.Base
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model.BytePairEncoding
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TokenEmbedding *nn.Embedding `gguf:"token_embd"`
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Layers []Layer `gguf:"blk"`
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@ -148,18 +147,6 @@ func NewTextModel(c fs.Config) (*TextModel, error) {
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}
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textModel := &TextModel{
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BytePairEncoding: model.NewBytePairEncoding(
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c.String("tokenizer.ggml.pretokenizer", `[^\r\n\p{L}\p{N}]?[\p{Lu}\p{Lt}\p{Lm}\p{Lo}\p{M}]*[\p{Ll}\p{Lm}\p{Lo}\p{M}]+|[^\r\n\p{L}\p{N}]?[\p{Lu}\p{Lt}\p{Lm}\p{Lo}\p{M}]+[\p{Ll}\p{Lm}\p{Lo}\p{M}]*|\p{N}| ?[^\s\p{L}\p{N}]+[\r\n/]*|\s*[\r\n]+|\s+(?!\S)|\s+`),
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&model.Vocabulary{
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Values: c.Strings("tokenizer.ggml.tokens"),
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Types: c.Ints("tokenizer.ggml.token_type"),
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Merges: c.Strings("tokenizer.ggml.merges"),
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BOS: int32(c.Uint("tokenizer.ggml.bos_token_id", 1)),
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AddBOS: c.Bool("tokenizer.ggml.add_bos_token", true),
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EOS: int32(c.Uint("tokenizer.ggml.eos_token_id", 2)),
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AddEOS: c.Bool("tokenizer.ggml.add_eos_token", false),
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},
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),
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Layers: make([]Layer, c.Uint("block_count")),
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TextOptions: &TextOptions{
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hiddenSize: int(c.Uint("embedding_length")),
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@ -49,6 +49,9 @@ func New(c fs.Config) (model.Model, error) {
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AddBOS: c.Bool("tokenizer.ggml.add_bos_token", true),
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EOS: int32(c.Uint("tokenizer.ggml.eos_token_id")),
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AddEOS: c.Bool("tokenizer.ggml.add_eos_token", false),
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// TODO: set EOT to EOS otherwise 0 will stop generation
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EOT: int32(c.Uint("tokenizer.ggml.eos_token_id")),
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AddEOT: c.Bool("tokenizer.ggml.add_eos_token", false),
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},
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),
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ImageProcessor: newImageProcessor(c),
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