vbatts/llama.cpp
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feat: Add qwen pattern and tokenizer

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teleprint-me 2024-05-07 21:17:51 -04:00
parent 9d2fcd0db5
commit b8f8a96ff1
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9
llama.cpp
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@ -4389,6 +4389,9 @@ static void llm_load_vocab(
} else if (
tokenizer_pre == "command-r") {
vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_COMMAND_R;
} else if (
tokenizer_pre == "qwen") {
vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_QWEN;
} else {
throw std::runtime_error(format("unknown pre-tokenizer type: '%s'", tokenizer_pre.c_str()));
}
@ -12252,6 +12255,12 @@ struct llm_tokenizer_bpe {
"'s|'t|'re|'ve|'m|'ll|'d| ?\\p{L}+| ?\\p{N}+| ?[^\\s\\p{L}\\p{N}]+|\\s+(?!\\S)",
});
break;
case LLAMA_VOCAB_PRE_TYPE_QWEN:
word_collection = unicode_regex_split(text, {
// original regex from tokenization_qwen.py
"(?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+",
});
break;
default:
// default regex for BPE tokenization pre-processing
word_collection = unicode_regex_split(text, {

1
llama.h
View file

@ -81,6 +81,7 @@ extern "C" {
LLAMA_VOCAB_PRE_TYPE_GPT2 = 7,
LLAMA_VOCAB_PRE_TYPE_REFACT = 8,
LLAMA_VOCAB_PRE_TYPE_COMMAND_R = 9,
LLAMA_VOCAB_PRE_TYPE_QWEN = 11,
};
// note: these values should be synchronized with ggml_rope