ci: improve nightly-ci (#11385)
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@@ -1,7 +1,6 @@
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import json
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import unittest
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import warnings
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from functools import partial
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from types import SimpleNamespace
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from sglang.srt.utils import kill_process_tree
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@@ -26,16 +25,19 @@ MODEL_THRESHOLDS = {
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"Efficient-Large-Model/NVILA-Lite-2B-hf-0626"
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): ModelEvalMetrics(0.305, 23.8),
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ModelLaunchSettings("google/gemma-3-4b-it"): ModelEvalMetrics(0.360, 10.9),
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ModelLaunchSettings("google/gemma-3n-E4B-it"): ModelEvalMetrics(0.360, 15.3),
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ModelLaunchSettings("google/gemma-3n-E4B-it"): ModelEvalMetrics(0.360, 17.7),
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ModelLaunchSettings("mistral-community/pixtral-12b"): ModelEvalMetrics(0.360, 16.6),
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ModelLaunchSettings("moonshotai/Kimi-VL-A3B-Instruct"): ModelEvalMetrics(
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0.330, 22.3
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),
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ModelLaunchSettings("openbmb/MiniCPM-o-2_6"): ModelEvalMetrics(0.330, 29.3),
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ModelLaunchSettings("openbmb/MiniCPM-v-2_6"): ModelEvalMetrics(0.270, 24.5),
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ModelLaunchSettings("OpenGVLab/InternVL2_5-2B"): ModelEvalMetrics(0.300, 14.0),
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ModelLaunchSettings("openbmb/MiniCPM-v-2_6"): ModelEvalMetrics(0.259, 36.3),
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ModelLaunchSettings("OpenGVLab/InternVL2_5-2B"): ModelEvalMetrics(0.300, 17.0),
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ModelLaunchSettings("Qwen/Qwen2-VL-7B-Instruct"): ModelEvalMetrics(0.310, 83.3),
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ModelLaunchSettings("Qwen/Qwen2.5-VL-7B-Instruct"): ModelEvalMetrics(0.340, 31.9),
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ModelLaunchSettings(
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"Qwen/Qwen3-VL-30B-A3B-Instruct", extra_args=["--tp=2"]
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): ModelEvalMetrics(0.29, 29.1),
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ModelLaunchSettings(
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"unsloth/Mistral-Small-3.1-24B-Instruct-2503"
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): ModelEvalMetrics(0.310, 16.7),
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