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llama : add pre-tokenizer regexes for BLOOM and gpt3-finnish (#8850)

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Esko Toivonen 2024-08-15 10:17:12 +03:00 committed by GitHub
parent d5492f0525
commit 6bda7ce6c3
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5 changed files with 19 additions and 1 deletions
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8
convert_hf_to_gguf.py
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@ -590,6 +590,12 @@ class Model:
if chkhsh == "855059429035d75a914d1eda9f10a876752e281a054a7a3d421ef0533e5b6249": if chkhsh == "855059429035d75a914d1eda9f10a876752e281a054a7a3d421ef0533e5b6249":
# ref: https://huggingface.co/HuggingFaceTB/SmolLM-135M # ref: https://huggingface.co/HuggingFaceTB/SmolLM-135M
res = "smollm" res = "smollm"
if chkhsh == "3c30d3ad1d6b64202cd222813e7736c2db6e1bd6d67197090fc1211fbc612ae7":
# ref: https://huggingface.co/bigscience/bloom
res = "bloom"
if chkhsh == "bc01ce58980e1db43859146dc51b1758b3b88729b217a74792e9f8d43e479d21":
# ref: https://huggingface.co/TurkuNLP/gpt3-finnish-small
res = "gpt3-finnish"
if res is None: if res is None:
logger.warning("\n") logger.warning("\n")
@ -893,7 +899,7 @@ class GPTNeoXModel(Model):
return tensors return tensors
@Model.register("BloomForCausalLM") @Model.register("BloomForCausalLM", "BloomModel")
class BloomModel(Model): class BloomModel(Model):
model_arch = gguf.MODEL_ARCH.BLOOM model_arch = gguf.MODEL_ARCH.BLOOM

2
convert_hf_to_gguf_update.py
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@ -94,6 +94,8 @@ models = [
{"name": "codeshell", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/WisdomShell/CodeShell-7B", }, {"name": "codeshell", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/WisdomShell/CodeShell-7B", },
{"name": "tekken", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/mistralai/Mistral-Nemo-Base-2407", }, {"name": "tekken", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/mistralai/Mistral-Nemo-Base-2407", },
{"name": "smollm", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/HuggingFaceTB/SmolLM-135M", }, {"name": "smollm", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/HuggingFaceTB/SmolLM-135M", },
{'name': "bloom", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/bigscience/bloom", },
{'name': "gpt3-finnish", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/TurkuNLP/gpt3-finnish-small", },
] ]

2
include/llama.h
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@ -93,6 +93,8 @@ extern "C" {
LLAMA_VOCAB_PRE_TYPE_TEKKEN = 20, LLAMA_VOCAB_PRE_TYPE_TEKKEN = 20,
LLAMA_VOCAB_PRE_TYPE_SMOLLM = 21, LLAMA_VOCAB_PRE_TYPE_SMOLLM = 21,
LLAMA_VOCAB_PRE_TYPE_CODESHELL = 22, LLAMA_VOCAB_PRE_TYPE_CODESHELL = 22,
LLAMA_VOCAB_PRE_TYPE_BLOOM = 23,
LLAMA_VOCAB_PRE_TYPE_GPT3_FINNISH = 24,
}; };
enum llama_rope_type { enum llama_rope_type {

2
src/llama-vocab.cpp
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@ -410,6 +410,8 @@ struct llm_tokenizer_bpe {
}; };
break; break;
case LLAMA_VOCAB_PRE_TYPE_PORO: case LLAMA_VOCAB_PRE_TYPE_PORO:
case LLAMA_VOCAB_PRE_TYPE_BLOOM:
case LLAMA_VOCAB_PRE_TYPE_GPT3_FINNISH:
regex_exprs = { regex_exprs = {
" ?[^(\\s|.,!?…。，、।۔،)]+", " ?[^(\\s|.,!?…。，、।۔،)]+",
}; };

6
src/llama.cpp
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@ -5467,6 +5467,12 @@ static void llm_load_vocab(
} else if ( } else if (
tokenizer_pre == "codeshell") { tokenizer_pre == "codeshell") {
vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_CODESHELL; vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_CODESHELL;
} else if (
tokenizer_pre == "bloom") {
vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_BLOOM;
} else if (
tokenizer_pre == "gpt3-finnish") {
vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_GPT3_FINNISH;
} else { } else {
throw std::runtime_error(format("unknown pre-tokenizer type: '%s'", tokenizer_pre.c_str())); throw std::runtime_error(format("unknown pre-tokenizer type: '%s'", tokenizer_pre.c_str()));
} }