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llama : fix mpt and olmo pre-tokenizer
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@ -5170,6 +5170,28 @@ static void llm_load_vocab(
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vocab.token_to_id[word] = i;
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vocab.max_token_len = std::max(vocab.max_token_len, (int) word.size());
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// TODO: properly handle pre-normalized added_tokens and remove this
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// handle space tokens with dual tokens,
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// like the pre-normalized added_tokens
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// of neox-style tokenizers (mpt, olmo, stablelm, etc)
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if (word.find(' ') != std::string::npos) {
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// same as in the internal `unicode_byte_encoding_process`
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// TODO: extract and expose this in some unicode_* function
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std::string text_utf;
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auto utf_word = unicode_cpts_from_utf8(word);
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for (size_t i = 0; i < utf_word.size(); ++i) {
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text_utf += unicode_cpt_to_utf8(utf_word[i]);
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}
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std::string encoded_token;
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for (char & c : text_utf) {
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encoded_token += unicode_byte_to_utf8(c);
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}
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// override token id
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vocab.token_to_id[encoded_token] = i;
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}
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auto & token_data = vocab.id_to_token[i];
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token_data.text = std::move(word);
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token_data.score = scores ? scores[i] : 0.0f;
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@ -13890,13 +13912,9 @@ struct llm_tokenizer_bpe {
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};
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break;
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case LLAMA_VOCAB_PRE_TYPE_MPT:
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// TODO: MPT pre-tokenization regexes are unknown
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// the following are close, but not exact. run the following:
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// ./bin/test-tokenizer-0 ../models/ggml-vocab-mpt.gguf
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GGML_ASSERT("MPT pre-tokenization regexes are unknown - fixes needed");
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case LLAMA_VOCAB_PRE_TYPE_OLMO:
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regex_exprs = {
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"\\s?\\p{L}+",
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"\\s?\\p{P}+",
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"[ ]{2,24}", // the spaces from the added_tokens are split separately
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"'s|'t|'re|'ve|'m|'ll|'d| ?\\p{L}+| ?\\p{N}+| ?[^\\s\\p{L}\\p{N}]+|\\s+(?!\\S)",
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};
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break;
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@ -13909,7 +13927,6 @@ struct llm_tokenizer_bpe {
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};
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break;
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case LLAMA_VOCAB_PRE_TYPE_GPT2:
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case LLAMA_VOCAB_PRE_TYPE_OLMO:
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regex_exprs = {
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"'s|'t|'re|'ve|'m|'ll|'d| ?\\p{L}+| ?\\p{N}+| ?[^\\s\\p{L}\\p{N}]+|\\s+(?!\\S)",
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};
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@ -13985,6 +14002,10 @@ struct llm_tokenizer_bpe {
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void tokenize(const std::string & text, std::vector<llama_vocab::id> & output) {
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int final_prev_index = -1;
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// FIXME: pre-tokenize added_tokens (user-defined tokens) before other pre-tokenization
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// ref: https://github.com/huggingface/tokenizers/blob/fdd26ba9a3f0c133427aab0423888cbde91362d7/tokenizers/src/tokenizer/mod.rs#L726
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// (useful for neox-style tokenizers)
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const auto word_collection = unicode_regex_split(text, regex_exprs);
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symbols_final.clear();
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