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Update README.md

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@@ -104,7 +104,7 @@ from transformers import AutoTokenizer, AutoModelForCausalLM
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  device = torch.device("cuda:0") if torch.cuda.is_available() else torch.device("cpu")
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- model_path = "itpossible/Chinese-Mistral-7B-Instruct-v0.1"
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  tokenizer = AutoTokenizer.from_pretrained(model_path)
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  model = AutoModelForCausalLM.from_pretrained(model_path, torch_dtype=torch.bfloat16, device_map=device)
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  device = torch.device("cuda:0") if torch.cuda.is_available() else torch.device("cpu")
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+ model_path = "itpossible/Chinese-Mistral-7B-Instruct-v0.2"
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  tokenizer = AutoTokenizer.from_pretrained(model_path)
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  model = AutoModelForCausalLM.from_pretrained(model_path, torch_dtype=torch.bfloat16, device_map=device)
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