infer_vllm.py

from vllm import LLM, SamplingParams

if __name__ == '__main__':
    # Sample prompts.
    prompts = [
        "I believe the meaning of life is",
    ]
    # Create a sampling params object.
    sampling_params = SamplingParams(temperature=0, top_p=0.95, max_tokens=24)

    # Create an LLM.
    llm = LLM(model="checkpoint/miniCPM-bf16",trust_remote_code=True, dtype="float16", enforce_eager=True)
    # Generate texts from the prompts. The output is a list of RequestOutput objects
    # that contain the prompt, generated text, and other information.
    outputs = llm.generate(prompts, sampling_params)
    # Print the outputs.
    for output in outputs:
        prompt = output.prompt
        generated_text = output.outputs[0].text
        print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}")