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convert : add BPE pre-tokenization for DBRX (#7132)
* Add BPE pre-tokenization for DBRX. * Add vocab GGUFs. * Remove test. * Remove GGUFs.
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@ -68,6 +68,7 @@ models = [
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{"name": "refact", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/smallcloudai/Refact-1_6-base", },
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{"name": "command-r", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/CohereForAI/c4ai-command-r-v01", },
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{"name": "olmo", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/allenai/OLMo-1.7-7B-hf", },
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{"name": "dbrx", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/databricks/dbrx-base", },
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]
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# make directory "models/tokenizers" if it doesn't exist
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@ -317,6 +317,9 @@ class Model(ABC):
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if chkhsh == "b6dc8df998e1cfbdc4eac8243701a65afe638679230920b50d6f17d81c098166":
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# ref: https://huggingface.co/allenai/OLMo-1.7-7B-hf
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res = "olmo"
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if chkhsh == "a8594e3edff7c29c003940395316294b2c623e09894deebbc65f33f1515df79e":
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# ref: https://huggingface.co/databricks/dbrx-instruct
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res = "dbrx"
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if res is None:
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logger.warning("\n")
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@ -4394,6 +4394,9 @@ static void llm_load_vocab(
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} else if (
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tokenizer_pre == "olmo") {
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vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_OLMO;
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} else if (
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tokenizer_pre == "dbrx") {
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vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_DBRX;
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} else {
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throw std::runtime_error(format("unknown pre-tokenizer type: '%s'", tokenizer_pre.c_str()));
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}
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@ -12200,6 +12203,7 @@ struct llm_tokenizer_bpe {
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case LLAMA_VOCAB_TYPE_BPE:
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switch (vocab.type_pre) {
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case LLAMA_VOCAB_PRE_TYPE_LLAMA3:
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case LLAMA_VOCAB_PRE_TYPE_DBRX:
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word_collection = unicode_regex_split(text, {
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// original regex from tokenizer.json
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//"(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
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