31 lines
1.1 KiB
Python
31 lines
1.1 KiB
Python
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from vllm import LLM
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# Sample prompts.
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prompts = [
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"Hello, my name is",
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"The president of the United States is",
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"The capital of France is",
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"The future of AI is",
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]
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# Create an LLM with built-in default generation config.
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# The generation config is set to None by default to keep
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# the behavior consistent with the previous version.
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# If you want to use the default generation config from the model,
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# you should set the generation_config to "auto".
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llm = LLM(model="Qwen/Qwen2.5-0.5B-Instruct", generation_config="auto")
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# Load the default sampling parameters from the model.
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sampling_params = llm.get_default_sampling_params()
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# Modify the sampling parameters if needed.
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sampling_params.temperature = 0.5
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# Generate texts from the prompts. The output is a list of RequestOutput objects
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# that contain the prompt, generated text, and other information.
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outputs = llm.generate(prompts, sampling_params)
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# Print the outputs.
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for output in outputs:
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prompt = output.prompt
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generated_text = output.outputs[0].text
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print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}")
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