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BERT tokenizer fixes (#6498)

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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
This commit is contained in:
Jared Van Bortel
2024-04-09 13:44:08 -04:00
committed by GitHub
parent c4a3a4ff47
commit 1b67731e18
20 changed files with 221 additions and 194 deletions
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5
examples/lookup/lookup.cpp
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@@ -42,11 +42,8 @@ int main(int argc, char ** argv){
GGML_ASSERT(llama_n_vocab(model) < (1 << 16));
// tokenize the prompt
const bool add_bos = llama_should_add_bos_token(model);
LOG("add_bos tgt: %d\n", add_bos);
std::vector<llama_token> inp;
inp = ::llama_tokenize(ctx, params.prompt, add_bos, true);
inp = ::llama_tokenize(ctx, params.prompt, true, true);
llama_ngram_cache ngram_cache_context;
llama_ngram_cache ngram_cache_dynamic;