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Fix hang in tokenizer for AutoGPTQ llama models. (#2399)
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@ -114,7 +114,7 @@ def load_tokenizer(model_name, model):
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tokenizer = None
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if shared.model_type == 'gpt4chan' and Path(f"{shared.args.model_dir}/gpt-j-6B/").exists():
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tokenizer = AutoTokenizer.from_pretrained(Path(f"{shared.args.model_dir}/gpt-j-6B/"))
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elif type(model) is transformers.LlamaForCausalLM:
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elif type(model) is transformers.LlamaForCausalLM or "LlamaGPTQForCausalLM" in str(type(model)):
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# Try to load an universal LLaMA tokenizer
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if shared.model_type not in ['llava', 'oasst']:
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for p in [Path(f"{shared.args.model_dir}/llama-tokenizer/"), Path(f"{shared.args.model_dir}/oobabooga_llama-tokenizer/")]:
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