Add BPE pre-tokenization for Command-R.
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4 changed files with 14 additions and 0 deletions
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@ -56,6 +56,7 @@ models = [
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{ "name": "mpt", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/mosaicml/mpt-7b", },
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{ "name": "mpt", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/mosaicml/mpt-7b", },
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{ "name": "starcoder", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/bigcode/starcoder2-3b", },
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{ "name": "starcoder", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/bigcode/starcoder2-3b", },
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{ "name": "gpt-2", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/openai-community/gpt2", },
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{ "name": "gpt-2", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/openai-community/gpt2", },
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{ "name": "command-r", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/CohereForAI/c4ai-command-r-v01", },
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]
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]
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# make directory "models/tokenizers" if it doesn't exist
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# make directory "models/tokenizers" if it doesn't exist
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@ -263,6 +263,7 @@ class Model(ABC):
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# NOTE: this function is generated by convert-hf-to-gguf-update.py
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# NOTE: this function is generated by convert-hf-to-gguf-update.py
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# do not modify it manually!
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# do not modify it manually!
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# ref: https://github.com/ggerganov/llama.cpp/pull/6920
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# ref: https://github.com/ggerganov/llama.cpp/pull/6920
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def get_vocab_base_pre(self, tokenizer) -> str:
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def get_vocab_base_pre(self, tokenizer) -> str:
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# encoding this string and hashing the resulting tokens would (hopefully) give us a unique identifier that
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# encoding this string and hashing the resulting tokens would (hopefully) give us a unique identifier that
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# is specific for the BPE pre-tokenizer used by the model
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# is specific for the BPE pre-tokenizer used by the model
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@ -306,6 +307,9 @@ class Model(ABC):
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if chkhsh == "3ce83efda5659b07b1ad37ca97ca5797ea4285d9b9ab0dc679e4a720c9da7454":
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if chkhsh == "3ce83efda5659b07b1ad37ca97ca5797ea4285d9b9ab0dc679e4a720c9da7454":
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# ref: https://huggingface.co/openai-community/gpt2
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# ref: https://huggingface.co/openai-community/gpt2
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res = "gpt-2"
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res = "gpt-2"
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if chkhsh == "9c2227e4dd922002fb81bde4fc02b0483ca4f12911410dee2255e4987644e3f8":
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# ref: https://huggingface.co/CohereForAI/c4ai-command-r-v01
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res = "command-r"
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if res is None:
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if res is None:
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print("\n")
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print("\n")
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@ -4383,6 +4383,9 @@ static void llm_load_vocab(
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} else if (
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} else if (
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tokenizer_pre == "gpt-2") {
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tokenizer_pre == "gpt-2") {
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vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_GPT2;
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vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_GPT2;
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} else if (
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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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} 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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@ -12240,6 +12243,11 @@ 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_COMMAND_R:
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word_collection = unicode_regex_split(text, {
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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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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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@ -79,6 +79,7 @@ extern "C" {
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LLAMA_VOCAB_PRE_TYPE_MPT = 5,
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LLAMA_VOCAB_PRE_TYPE_MPT = 5,
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LLAMA_VOCAB_PRE_TYPE_STARCODER = 6,
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LLAMA_VOCAB_PRE_TYPE_STARCODER = 6,
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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_COMMAND_R = 8,
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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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