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@@ -21,7 +21,7 @@ model increases to 3 billion parameters.
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  We evaluated Granite Vision 3.1 alongside other vision-language models (VLMs) in the 1B-4B parameter range using the standard llms-eval benchmark. The evaluation spanned multiple public benchmarks, with particular emphasis on document understanding tasks while also including general visual question-answering benchmarks.
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- | | Molmo-E (1B) | InternVL2 (2B) | Phi3v (4B) | Phi3.5v (4B) | Granite Vision (3B) |
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  |-----------|--------------|----------------|-------------|------------|------------|
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  | **Document benchmarks** |
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  | DocVQA | 0.66 | 0.87 | 0.87 | **0.88** | **0.88** |
 
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  We evaluated Granite Vision 3.1 alongside other vision-language models (VLMs) in the 1B-4B parameter range using the standard llms-eval benchmark. The evaluation spanned multiple public benchmarks, with particular emphasis on document understanding tasks while also including general visual question-answering benchmarks.
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+ | | Molmo-E 1B | InternVL2 2B | Phi3v 4B | Phi3.5v 4B | Granite Vision 3B |
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  |-----------|--------------|----------------|-------------|------------|------------|
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  | **Document benchmarks** |
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  | DocVQA | 0.66 | 0.87 | 0.87 | **0.88** | **0.88** |