from transformers import AutoModelForCausalLM, AutoTokenizermodel_name = "moonshotai/Kimi-Dev-72B"model = AutoModelForCausalLM.from_pretrained( model_name, torch_dtype="auto", device_map="auto")tokenizer = AutoTokenizer.from_pretrained(model_name)prompt = "Give me a short introduction to large language model."messages = [ {"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": prompt}]text = tokenizer.apply_chat_template( messages, tokenize=False, add_generation_prompt=True)model_inputs = tokenizer([text], return_tensors="pt").to(model.device)generated_ids = model.generate( **model_inputs, max_new_tokens=512)generated_ids = [ output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)]response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]