Update amd nightly models CI. (#6992)
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@@ -68,6 +68,8 @@ DISABLE_HF_XET_MODELS = {
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TRITON_MOE_MODELS = {
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TRITON_MOE_MODELS = {
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"neuralmagic/Mixtral-8x7B-Instruct-v0.1-FP8",
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"neuralmagic/Mixtral-8x7B-Instruct-v0.1-FP8",
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"neuralmagic/DeepSeek-Coder-V2-Lite-Instruct-FP8",
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"neuralmagic/DeepSeek-Coder-V2-Lite-Instruct-FP8",
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"mistralai/Mixtral-8x7B-Instruct-v0.1",
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"mistralai/Mistral-7B-Instruct-v0.3",
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}
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}
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@@ -184,8 +186,16 @@ class TestNightlyGsm8KEval(unittest.TestCase):
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num_examples=None,
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num_examples=None,
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num_threads=1024,
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num_threads=1024,
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)
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)
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# Allow retries, so flaky errors are avoided.
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metrics = run_eval(args)
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threshold = MODEL_SCORE_THRESHOLDS.get(model)
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for attempt in range(3):
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try:
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metrics = run_eval(args)
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score = metrics["score"]
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if score >= threshold:
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break
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except Exception as e:
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print(f"Attempt {attempt + 1} failed with error: {e}")
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print(
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print(
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f"{'=' * 42}\n{model} - metrics={metrics} score={metrics['score']}\n{'=' * 42}\n"
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f"{'=' * 42}\n{model} - metrics={metrics} score={metrics['score']}\n{'=' * 42}\n"
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)
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)
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