llama : add llama_vocab
, functions -> methods, naming (#11110)
* llama : functions -> methods (#11110) * llama : add struct llama_vocab to the API (#11156) ggml-ci * hparams : move vocab params to llama_vocab (#11159) ggml-ci * vocab : more pimpl (#11165) ggml-ci * vocab : minor tokenization optimizations (#11160) ggml-ci Co-authored-by: Diego Devesa <slarengh@gmail.com> * lora : update API names (#11167) ggml-ci * llama : update API names to use correct prefix (#11174) * llama : update API names to use correct prefix ggml-ci * cont ggml-ci * cont ggml-ci * minor [no ci] * vocab : llama_vocab_add_[be]os -> llama_vocab_get_add_[be]os (#11174) ggml-ci * vocab : llama_vocab_n_vocab -> llama_vocab_n_tokens (#11174) ggml-ci --------- Co-authored-by: Diego Devesa <slarengh@gmail.com>
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68 changed files with 5855 additions and 5400 deletions
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@ -384,7 +384,7 @@ static bool encode_image_with_clip(clip_ctx * ctx_clip, int n_threads, const cli
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bool llava_validate_embed_size(const llama_context * ctx_llama, const clip_ctx * ctx_clip) {
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// make sure that the correct mmproj was used, i.e., compare apples to apples
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int n_llama_embd = llama_n_embd(llama_get_model(ctx_llama));
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int n_llama_embd = llama_model_n_embd(llama_get_model(ctx_llama));
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auto n_image_embd = clip_n_mmproj_embd(ctx_clip);
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if (n_image_embd != n_llama_embd) {
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LOG_ERR("%s: embedding dim of the multimodal projector (%d) is not equal to that of LLaMA (%d). Make sure that you use the correct mmproj file.\n", __func__, n_image_embd, n_llama_embd);
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@ -456,7 +456,7 @@ struct llava_embd_batch {
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};
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bool llava_eval_image_embed(llama_context * ctx_llama, const struct llava_image_embed * image_embed, int n_batch, int * n_past) {
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int n_embd = llama_n_embd(llama_get_model(ctx_llama));
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int n_embd = llama_model_n_embd(llama_get_model(ctx_llama));
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for (int i = 0; i < image_embed->n_image_pos; i += n_batch) {
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int n_eval = image_embed->n_image_pos - i;
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