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@@ -174,6 +174,9 @@ def load_model(model_name):
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tokenizer = AutoTokenizer.from_pretrained(Path(f"{shared.args.model_dir}/gpt-j-6B/"))
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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:
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tokenizer = LlamaTokenizer.from_pretrained(Path(f"{shared.args.model_dir}/{shared.model_name}/"), clean_up_tokenization_spaces=True)
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tokenizer = LlamaTokenizer.from_pretrained(Path(f"{shared.args.model_dir}/{shared.model_name}/"), clean_up_tokenization_spaces=True)
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+ tokenizer.eos_token_id = 2
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+ tokenizer.bos_token_id = 1
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+ tokenizer.pad_token_id = 0
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else:
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else:
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tokenizer = AutoTokenizer.from_pretrained(Path(f"{shared.args.model_dir}/{shared.model_name}/"))
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tokenizer = AutoTokenizer.from_pretrained(Path(f"{shared.args.model_dir}/{shared.model_name}/"))
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tokenizer.truncation_side = 'left'
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tokenizer.truncation_side = 'left'
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