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小米MiMo全网首评:这个模型两极分化!

关键代码

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from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("XiaomiMiMo/MiMo-7B-RL")
model = AutoModelForCausalLM.from_pretrained("XiaomiMiMo/MiMo-7B-RL", device_map="auto", torch_dtype="auto")
messages = [
{"role": "user", "content": "如果晾干5件衬衫需要4小时,那么晾干20件衬衫需要多久?"},
]
inputs = tokenizer.apply_chat_template(messages, tokenize=True, add_generation_prompt=True, return_tensors="pt")

outputs = model.generate(
inputs.to(model.device),
max_new_tokens=4096,
temperature=0.8,
top_p=0.95,
do_sample=True,
)
print(tokenizer.decode(outputs[0]))

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