2025-03-20 05:00:39 +01:00
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# SPDX-License-Identifier: Apache-2.0
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import pytest
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from vllm import LLM, envs
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from vllm.platforms import current_platform
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from vllm.sampling_params import SamplingParams
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if not envs.VLLM_USE_V1:
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pytest.skip(
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"Skipping V1 tests. Rerun with `VLLM_USE_V1=1` to test.",
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allow_module_level=True,
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)
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@pytest.mark.parametrize("model_name", ["Qwen/Qwen2.5-1.5B-Instruct"])
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@pytest.mark.skipif(not current_platform.is_tpu(),
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reason="This test needs a TPU")
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def test_sampler_different(model_name: str):
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"""
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Test significantly different sampling params to assert the model produces
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different results.
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"""
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2025-03-27 20:15:06 +01:00
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llm = LLM(model_name,
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enforce_eager=False,
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max_num_seqs=1,
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max_model_len=512,
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max_num_batched_tokens=512)
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2025-03-20 05:00:39 +01:00
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prompts = [
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"Write a short story about a robot that dreams for the first time."
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]
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sampling_params = SamplingParams(temperature=0.9, min_p=0.2, max_tokens=64)
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output = llm.generate(prompts, sampling_params)
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sampling_params = SamplingParams(temperature=0.1, min_p=0.8, max_tokens=64)
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output2 = llm.generate(prompts, sampling_params)
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assert output[0].outputs[0].text != output2[0].outputs[0].text
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