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Signed-off-by: chenxi-hh <[email protected]>
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tests/e2e/multicard/test_quantization.py

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@@ -27,7 +27,7 @@
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def test_models_distributed_quantized_W8A8():
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example_prompts = [
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"Hello, my name is",
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"The president of the United States is",
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]
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max_tokens = 5
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with VllmRunner(snapshot_download("neuralmagic/Qwen2.5-3B-quantized.w8a8"),
@@ -38,7 +38,7 @@ def test_models_distributed_quantized_W8A8():
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vllm_output = vllm_model.generate_greedy(example_prompts, max_tokens)
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golden_results = [
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'Hello, my name is the head of state and',
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'The president of the United States is the head of state and',
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]
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for i in range(len(vllm_output)):

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