Update README.md
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README.md
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@@ -36,7 +36,15 @@ import torch
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device = torch.device("cuda")
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model_info = "BAAI/Aquila2-34B"
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tokenizer = AutoTokenizer.from_pretrained(model_info, trust_remote_code=True)
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model.eval()
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model.to(device)
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text = "请给出10个要到北京旅游的理由。"
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device = torch.device("cuda")
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model_info = "BAAI/Aquila2-34B"
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tokenizer = AutoTokenizer.from_pretrained(model_info, trust_remote_code=True)
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quantization_config=BitsAndBytesConfig(
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load_in_4bit=True,
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bnb_4bit_use_double_quant=True,
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bnb_4bit_quant_type="nf4",
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bnb_4bit_compute_dtype=torch.bfloat16,
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)
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model = AutoModelForCausalLM.from_pretrained(model_info, trust_remote_code=True,
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# quantization_config=quantization_config, # Uncomment this line for 4bit quantization
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)
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model.eval()
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model.to(device)
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text = "请给出10个要到北京旅游的理由。"
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