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Update model.py
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model.py
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@@ -7,9 +7,9 @@ os.makedirs(hf_cache_folder, exist_ok=True)
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device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
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model_id = "
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tokenizer = AutoTokenizer.from_pretrained(model_id, cache_dir=hf_cache_folder)
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model = AutoModelForCausalLM.from_pretrained(model_id, cache_dir=hf_cache_folder, device_map="auto")
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## <BOS_TOKEN><|START_OF_TURN_TOKEN|><|USER_TOKEN|>Hello, how are you?<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>
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device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
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model_id = "microsoft/Phi-3-medium-128k-instruct"
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tokenizer = AutoTokenizer.from_pretrained(model_id, cache_dir=hf_cache_folder, trust_remote_code=True)
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model = AutoModelForCausalLM.from_pretrained(model_id, cache_dir=hf_cache_folder, device_map="auto", trust_remote_code=True)
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## <BOS_TOKEN><|START_OF_TURN_TOKEN|><|USER_TOKEN|>Hello, how are you?<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>
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