Text Generation
Transformers
Safetensors
imp_phi3
conversational
custom_code
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@@ -65,8 +65,8 @@ We conduct evaluation on 9 commonly-used benchmarks, including 5 academic VQA be
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  | Models | Size | VQAv2 | GQA | SQA(IMG) | TextVQA | POPE | MME(P) | MMB |MMB_CN|MM-Vet|
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  |:--------:|:-----:|:----:|:-------------:|:--------:|:-----:|:----:|:-------:|:-------:|:-------:|:-------:|
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- | Imp-v1.5-4B-Phi3| 4B | **81.7** | 63.4 | 76.3|- | **87.0**| 1503.9 |**74.1** |**64.8**|-|
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- | Imp-v1.5-4B-Phi3| 4B | 81.5 | **63.5** | **78.0**|60.2 | 86.9| **1507.7** |73.3 |61.1|44.6|
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  | Models | Size | VQAv2 | GQA | SQA(IMG) | TextVQA | POPE | MME(P) | MMB |MMB_CN|MM-Vet|
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  |:--------:|:-----:|:----:|:-------------:|:--------:|:-----:|:----:|:-------:|:-------:|:-------:|:-------:|
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+ | Bunny-3B| 4B | **81.7** | 63.4 | 76.3|- | **87.0**| 1503.9 |**74.1** |**64.8**|-|
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+ | **Imp-v1.5-4B-Phi3**| 4B | 81.5 | **63.5** | **78.0**|60.2 | 86.9| **1507.7** |73.3 |61.1|44.6|
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