Tynn-12
SmolVLM2-500M-FT is a open-weight Tynn-12 specialized model.
Running this yourself: can likely run on your own machine.
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Quality Score
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Arena ELO
500M
Parameters
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Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
11 of 22 public signals
Use this section to answer one simple question first: how much outside evidence do we have that this model performs well? Structured benchmark scores appear first, then official provider evidence, then live arena signal.
This model has normalized benchmark rows, so scores here are directly comparable across benchmark sources.
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29
Downloads
1
Likes
Mar 2026
Released
1/5 signals
2/4 signals
3/5 signals
3/4 signals
2/4 signals
Gaps we are still tracking
These are recent benchmark or leaderboard claims from official provider sources. They are useful for freshness and context, but they are not treated the same as normalized independent benchmark rows.
SmolVLM2 - Open VLM Leaderboard #180
MMMU_VAL: 41.6 | MathVista: 51.5 | OCRBench: 72.5 | MMBench_TEST_EN_V11: 69.1 | MME: 64.0 | AI2D: 69.7 | MMStar: 46.0 | HallusionBench: 40.6
View sourceSmolVLM2 - Open VLM Leaderboard #180
MMMU_VAL: 41.6 | MathVista: 51.5 | OCRBench: 72.5 | MMBench_TEST_EN_V11: 69.1 | MME: 64.0 | AI2D: 69.7 | MMStar: 46.0 | HallusionBench: 40.6
View sourceSmolVLM2 - Open VLM Leaderboard #180
MMMU_VAL: 41.6 | MathVista: 51.5 | OCRBench: 72.5 | MMBench_TEST_EN_V11: 69.1 | MME: 64.0 | AI2D: 69.7 | MMStar: 46.0 | HallusionBench: 40.6
View sourceSmolVLM2 - Open VLM Leaderboard #180
MMMU_VAL: 41.6 | MathVista: 51.5 | OCRBench: 72.5 | MMBench_TEST_EN_V11: 69.1 | MME: 64.0 | AI2D: 69.7 | MMStar: 46.0 | HallusionBench: 40.6
View sourceSmolVLM2 - Open VLM Leaderboard #180
MMMU_VAL: 41.6 | MathVista: 51.5 | OCRBench: 72.5 | MMBench_TEST_EN_V11: 69.1 | MME: 64.0 | AI2D: 69.7 | MMStar: 46.0 | HallusionBench: 40.6
View sourceSmolVLM2 - Open VLM Leaderboard #180
MMMU_VAL: 41.6 | MathVista: 51.5 | OCRBench: 72.5 | MMBench_TEST_EN_V11: 69.1 | MME: 64.0 | AI2D: 69.7 | MMStar: 46.0 | HallusionBench: 40.6
View source