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@@ -24,7 +24,7 @@ As always, Ovis1.5 remains fully open-source: we release the training datasets,
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  | Ovis1.5-Gemma2-9B | Siglip-400M | Gemma2-9B-It | [Huggingface](https://huggingface.co/datasets/AIDC-AI/Ovis-dataset) | [Github](https://github.com/AIDC-AI/Ovis) | [Huggingface](https://huggingface.co/AIDC-AI/Ovis1.5-Gemma2-9B) |
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  ## Performance
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- We evaluate Ovis across various multimodal benchmarks using [VLMEvalKit](https://github.com/open-compass/VLMEvalKit) and compare its performance to leading MLLMs with similar parameter scales.
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  | | MiniCPM-Llama3-V2.5 | GLM-4V-9B | Ovis1.5-Llama3-8B | Ovis1.5-Gemma2-9B |
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  |:------------------|--------------------:|----------:|------------------:|------------------:|
 
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  | Ovis1.5-Gemma2-9B | Siglip-400M | Gemma2-9B-It | [Huggingface](https://huggingface.co/datasets/AIDC-AI/Ovis-dataset) | [Github](https://github.com/AIDC-AI/Ovis) | [Huggingface](https://huggingface.co/AIDC-AI/Ovis1.5-Gemma2-9B) |
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  ## Performance
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+ We evaluate Ovis1.5 across various multimodal benchmarks using [VLMEvalKit](https://github.com/open-compass/VLMEvalKit) and compare its performance to leading MLLMs with similar parameter scales.
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  | | MiniCPM-Llama3-V2.5 | GLM-4V-9B | Ovis1.5-Llama3-8B | Ovis1.5-Gemma2-9B |
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  |:------------------|--------------------:|----------:|------------------:|------------------:|