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sglang/test/srt/models/test_nvidia_nemotron_nano_v2_vl.py
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Python

import unittest
from types import SimpleNamespace
from sglang.test.gsm8k_mixin import GSM8KMixin
from sglang.test.mmmu_vlm_mixin import MMMUVLMMixin
from sglang.test.test_utils import CustomTestCase
MODEL = "nvidia/NVIDIA-Nemotron-Nano-12B-v2-VL-BF16"
class TestNvidiaNemotronNanoV2VLTextOnly(GSM8KMixin, CustomTestCase):
accuracy = 0.87
model = MODEL
other_args = ["--max-mamba-cache-size", "256", "--trust-remote-code"]
class TestNvidiaNemotronNanoV2VLMMMU(MMMUVLMMixin, CustomTestCase):
accuracy = 0.454
model = MODEL
other_args = ["--max-mamba-cache-size", "128", "--trust-remote-code"]
mmmu_args = ["--limit=0.1"]
"""`--limit=0.1`: 10 percent of each task - this is fine for testing since the nominal result isn't interesting - this run is just to prevent relative regressions."""
def test_vlm_mmmu_benchmark(self):
self._run_vlm_mmmu_test(
SimpleNamespace(model=self.model, mmmu_accuracy=self.accuracy), "./logs"
)
if __name__ == "__main__":
unittest.main()