feat: Add qwen pattern and tokenizer
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2 changed files with 10 additions and 0 deletions
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@ -4389,6 +4389,9 @@ static void llm_load_vocab(
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} else if (
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} else if (
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tokenizer_pre == "command-r") {
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tokenizer_pre == "command-r") {
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vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_COMMAND_R;
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vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_COMMAND_R;
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} else if (
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tokenizer_pre == "qwen") {
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vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_QWEN;
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} else {
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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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throw std::runtime_error(format("unknown pre-tokenizer type: '%s'", tokenizer_pre.c_str()));
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}
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}
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@ -12252,6 +12255,12 @@ struct llm_tokenizer_bpe {
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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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"'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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});
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break;
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break;
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case LLAMA_VOCAB_PRE_TYPE_QWEN:
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word_collection = unicode_regex_split(text, {
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// original regex from tokenization_qwen.py
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"(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
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});
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break;
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default:
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default:
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// default regex for BPE tokenization pre-processing
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// default regex for BPE tokenization pre-processing
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word_collection = unicode_regex_split(text, {
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word_collection = unicode_regex_split(text, {
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1
llama.h
1
llama.h
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@ -81,6 +81,7 @@ extern "C" {
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LLAMA_VOCAB_PRE_TYPE_GPT2 = 7,
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LLAMA_VOCAB_PRE_TYPE_GPT2 = 7,
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LLAMA_VOCAB_PRE_TYPE_REFACT = 8,
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LLAMA_VOCAB_PRE_TYPE_REFACT = 8,
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LLAMA_VOCAB_PRE_TYPE_COMMAND_R = 9,
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LLAMA_VOCAB_PRE_TYPE_COMMAND_R = 9,
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LLAMA_VOCAB_PRE_TYPE_QWEN = 11,
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};
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};
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// note: these values should be synchronized with ggml_rope
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// note: these values should be synchronized with ggml_rope
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