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Update app.py
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app.py
CHANGED
@@ -19,7 +19,7 @@ DESCRIPTION = """
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# tokenizer = AutoTokenizer.from_pretrained(model_id, device_map="auto", trust_remote_code=True)
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tokenizer = LlamaTokenizerFast.from_pretrained(tokenizer_id, device_map="cuda", trust_remote_code=True)
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model = AutoModelForCausalLM.from_pretrained(model_id, load_in_4bit=True, device_map="cuda")
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def format_prompt(user_message, system_message="You are Grok-1, an AI language model created by Tonic-AI. You are a cautious assistant. You carefully follow instructions. You are helpful and harmless and follow ethical guidelines and promote positive behavior.\n\n"):
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# prompt = f"<|im_start|>assistant\n{system_message}<|im_end|>\n<|im_start|>\nuser\n{user_message}<|im_end|>\nassistant\n"
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# tokenizer = AutoTokenizer.from_pretrained(model_id, device_map="auto", trust_remote_code=True)
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tokenizer = LlamaTokenizerFast.from_pretrained(tokenizer_id, device_map="cuda", trust_remote_code=True)
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model = AutoModelForCausalLM.from_pretrained(model_id, load_in_4bit=True, device_map="cuda", trust_remote_code=True)
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def format_prompt(user_message, system_message="You are Grok-1, an AI language model created by Tonic-AI. You are a cautious assistant. You carefully follow instructions. You are helpful and harmless and follow ethical guidelines and promote positive behavior.\n\n"):
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# prompt = f"<|im_start|>assistant\n{system_message}<|im_end|>\n<|im_start|>\nuser\n{user_message}<|im_end|>\nassistant\n"
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