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Load xgen tokenizer
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@ -94,6 +94,8 @@ def load_tokenizer(model_name, model):
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if any(s in model_name.lower() for s in ['gpt-4chan', '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 model.__class__.__name__ in ['LlamaForCausalLM', 'LlamaGPTQForCausalLM', 'ExllamaHF']:
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if any(s in model_name.lower() for s in ['xgen']) and Path(f"{shared.args.model_dir}/{model_name}/").exists():
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tokenizer = AutoTokenizer.from_pretrained(Path(f"{shared.args.model_dir}/{model_name}/"), trust_remote_code=shared.args.trust_remote_code)
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# Try to load an universal LLaMA tokenizer
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if not any(s in shared.model_name.lower() for s 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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