BERT tokenizer fixes (#6498)
Key changes: * BERT conversion: fix abuse of LlamaHfVocab, do not set BOS or EOS * Nomic Embed conversion: pad vocab instead of slicing embedding tensor * llama_tokenize: handle added special tokens like HF does
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20 changed files with 221 additions and 194 deletions
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@ -64,13 +64,10 @@ int main(int argc, char ** argv) {
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std::tie(model, ctx) = llama_init_from_gpt_params(params);
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// Tokenize the prompt
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const bool add_bos = llama_should_add_bos_token(model);
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LOG("add_bos tgt: %d\n", add_bos);
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std::vector<llama_token> inp;
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std::vector<llama_token> all;
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inp = ::llama_tokenize(ctx, params.prompt, add_bos, true);
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inp = ::llama_tokenize(ctx, params.prompt, true, true);
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all = inp;
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const int max_context_size = llama_n_ctx(ctx);
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