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Signed-off-by: LopezCastroRoberto <roberto.lopez.castro@udc.es> Signed-off-by: Roberto L. Castro <38211239+LopezCastroRoberto@users.noreply.github.com> Signed-off-by: Andrei Panferov <andrei@panferov.org> Co-authored-by: Andrei Panferov <andrei@panferov.org> Co-authored-by: Michael Goin <mgoin64@gmail.com>
33 lines
974 B
Python
33 lines
974 B
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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"""Test model set-up and inference for quantized HF models supported
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on the GPU backend using FPQuant.
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Validating the configuration and printing results for manual checking.
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Run `pytest tests/quantization/test_fp_quant.py`.
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"""
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import pytest
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from tests.quantization.utils import is_quant_method_supported
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MODELS = [
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"ISTA-DASLab/Qwen3-0.6B-RTN-NVFP4",
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"ISTA-DASLab/Qwen3-0.6B-RTN-MXFP4",
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]
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DTYPE = ["bfloat16"]
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EAGER = [True, False]
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@pytest.mark.skipif(
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not is_quant_method_supported("fp_quant"),
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reason="FPQuant is not supported on this GPU type.",
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)
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@pytest.mark.parametrize("model", MODELS)
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@pytest.mark.parametrize("eager", EAGER)
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def test_fpquant(vllm_runner, model, eager):
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with vllm_runner(model, enforce_eager=eager) as llm:
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output = llm.generate_greedy(["1 2 3 4 5"], max_tokens=2)
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assert output[0][1] == "1 2 3 4 5 6"
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