Update nightly thresholds and dependencies. (#6635)
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@@ -13,3 +13,5 @@ docker exec -w /human-eval ci_sglang pip install -e .
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docker exec -w / ci_sglang mkdir -p /dummy-grok
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mkdir -p dummy-grok && wget https://sharkpublic.blob.core.windows.net/sharkpublic/sglang/dummy_grok.json -O dummy-grok/config.json
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docker cp ./dummy-grok ci_sglang:/
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docker exec ci_sglang pip install huggingface_hub[hf_xet]
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@@ -21,24 +21,24 @@ from sglang.test.test_utils import (
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MODEL_SCORE_THRESHOLDS = {
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"meta-llama/Llama-3.1-8B-Instruct": 0.82,
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"mistralai/Mistral-7B-Instruct-v0.3": 0.56,
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"mistralai/Mistral-7B-Instruct-v0.3": 0.58,
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"deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct": 0.85,
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"meta-llama/Llama-3.1-70B-Instruct": 0.95,
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"mistralai/Mixtral-8x7B-Instruct-v0.1": 0.62,
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"mistralai/Mixtral-8x7B-Instruct-v0.1": 0.64,
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"Qwen/Qwen2-57B-A14B-Instruct": 0.86,
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"neuralmagic/Meta-Llama-3.1-8B-Instruct-FP8": 0.81,
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"neuralmagic/Meta-Llama-3.1-8B-Instruct-FP8": 0.82,
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"neuralmagic/Mistral-7B-Instruct-v0.3-FP8": 0.54,
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"neuralmagic/Meta-Llama-3.1-70B-Instruct-FP8": 0.93,
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"neuralmagic/Qwen2-72B-Instruct-FP8": 0.93,
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"neuralmagic/Qwen2-57B-A14B-Instruct-FP8": 0.82,
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"neuralmagic/Meta-Llama-3.1-70B-Instruct-FP8": 0.94,
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"neuralmagic/Qwen2-72B-Instruct-FP8": 0.94,
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"neuralmagic/Qwen2-57B-A14B-Instruct-FP8": 0.86,
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"neuralmagic/Mixtral-8x7B-Instruct-v0.1-FP8": 0.61,
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"google/gemma-2-27b-it": 0.91,
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}
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# Models currently failing on AMD MI300x.
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failing_models = {
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"google/gemma-2-27b-it",
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"neuralmagic/DeepSeek-Coder-V2-Lite-Instruct-FP8",
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"neuralmagic/gemma-2-2b-it-FP8",
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"neuralmagic/Mixtral-8x7B-Instruct-v0.1-FP8",
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}
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