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3f6642f6fc
* fix truncate * s/SentencePieceModel/SentencePiece/ * bert * wordpiece * refactor pooling * more tokenizers * normalize embeddings
52 lines
1.2 KiB
Go
52 lines
1.2 KiB
Go
package gemma3n
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import (
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"github.com/ollama/ollama/fs"
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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/model"
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"github.com/ollama/ollama/model/input"
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)
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type Model struct {
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model.Base
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model.SentencePiece
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*TextModel
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}
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// Forward implements model.Model.
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func (m *Model) Forward(ctx ml.Context, batch input.Batch) (ml.Tensor, error) {
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return m.TextModel.Forward(ctx, batch, m.Cache)
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}
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func New(c fs.Config) (model.Model, error) {
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m := Model{
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TextModel: newTextModel(c),
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SentencePiece: model.NewSentencePiece(
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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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AddBOS: c.Bool("tokenizer.ggml.add_bos_token", true),
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BOS: []int32{int32(c.Uint("tokenizer.ggml.bos_token_id"))},
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AddEOS: c.Bool("tokenizer.ggml.add_eos_token", false),
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EOS: append(
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[]int32{int32(c.Uint("tokenizer.ggml.eos_token_id"))},
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c.Ints("tokenizer.ggml.eos_token_ids")...,
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),
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},
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),
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}
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m.Cache = kvcache.NewWrapperCache(
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kvcache.NewCausalCache(m.Shift),
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kvcache.NewSWACache(int32(c.Uint("attention.sliding_window")), m.Shift),
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)
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return &m, nil
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}
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func init() {
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model.Register("gemma3n", New)
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}
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