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@@ -162,8 +162,9 @@ We recommend fine-tuning LFM2-VL models on your use cases to maximize performanc
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  | Model | RealWorldQA | MM-IFEval | InfoVQA (Val) | OCRBench | BLINK | MMStar | MMMU (Val) | MathVista | SEEDBench_IMG | MMVet | MME | MMLU |
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  |-------------------|-------------|-----------|---------------|----------|-------|--------|------------|-----------|---------------|-------|----------|-------|
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  | SmolVLM2-500M | 49.90 | 11.27 | 24.64 | 609.00 | 40.70 | 38.20 | 34.10 | 37.50 | 62.20 | 29.90 | 1448.30 | - |
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- | LFM2-VL-440M | 52.29 | 26.18 | 46.51 | 655.00 | 41.98 | 40.87 | 33.11 | 44.70 | 63.50 | 33.76 | 1239.06 | 40.16 |
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  ## 📬 Contact
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  | Model | RealWorldQA | MM-IFEval | InfoVQA (Val) | OCRBench | BLINK | MMStar | MMMU (Val) | MathVista | SEEDBench_IMG | MMVet | MME | MMLU |
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  |-------------------|-------------|-----------|---------------|----------|-------|--------|------------|-----------|---------------|-------|----------|-------|
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  | SmolVLM2-500M | 49.90 | 11.27 | 24.64 | 609.00 | 40.70 | 38.20 | 34.10 | 37.50 | 62.20 | 29.90 | 1448.30 | - |
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+ | LFM2-VL-450M | 52.29 | 26.18 | 46.51 | 655.00 | 41.98 | 40.87 | 33.11 | 44.70 | 63.50 | 33.76 | 1239.06 | 40.16 |
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+ We obtained MM-IFEval and InfoVQA (Val) scores for InternVL 3 and SmolVLM2 models using VLMEvalKit.
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  ## 📬 Contact
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