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README.md
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pipeline_tag: image-text-to-text
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library_name: transformers
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base_model:
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- OpenGVLab/InternVL2-
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- OpenGVLab/InternVL2_5-8B
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- OpenGVLab/InternVL2_5-4B
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- OpenGVLab/InternViT-300M-448px-V2_5
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- internlm/internlm2_5-7b-chat
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- Qwen/Qwen2.5-3B-Instruct
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base_model_relation: merge
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language:
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- multilingual
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tags:
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- Sa2VA
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---
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# Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos
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We built the Sa2VA series based on Qwen2-VL and InternVL2/2.5. In the following table, we provide some Sa2VA models built on InternVL2.5. Other Sa2VA models will be open-sourced soon.
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| Model Name | Base MLLM
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| Sa2VA-1B | [InternVL2.
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| Sa2VA-4B | [InternVL2.5-4B](https://huggingface.co/OpenGVLab/InternVL2_5-4B)
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| Sa2VA-8B | [InternVL2.5-8B](https://huggingface.co/OpenGVLab/InternVL2_5-8B)
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## Sa2VA Performance
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| Model Name |
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| Sa2VA-1B |
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| Sa2VA-4B |
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| Sa2VA-8B |
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## Quick Start
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journal={arXiv preprint},
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year={2025}
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}
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```
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pipeline_tag: image-text-to-text
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library_name: transformers
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base_model:
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- OpenGVLab/InternVL2.5-4B
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base_model_relation: merge
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language:
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- multilingual
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tags:
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- Sa2VA
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- custom_code
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---
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# Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos
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We built the Sa2VA series based on Qwen2-VL and InternVL2/2.5. In the following table, we provide some Sa2VA models built on InternVL2.5. Other Sa2VA models will be open-sourced soon.
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| Model Name | Base MLLM | Language Part | HF Link |
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|:----------:|:------------------------------------------------------------------:|:---------------------------------------------------------------------------:|:-----------------------------------------------------:|
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| Sa2VA-1B | [InternVL2.5-1B](https://huggingface.co/OpenGVLab/InternVL2_5-1B) | [Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) | [🤗 link](https://huggingface.co/ByteDance/Sa2VA-1B) |
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| Sa2VA-4B | [InternVL2.5-4B](https://huggingface.co/OpenGVLab/InternVL2_5-4B) | [Qwen2.5-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct) | [🤗 link](https://huggingface.co/ByteDance/Sa2VA-4B) |
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| Sa2VA-8B | [InternVL2.5-8B](https://huggingface.co/OpenGVLab/InternVL2_5-8B) | [internlm2_5-7b-chat](https://huggingface.co/internlm/internlm2_5-7b-chat) | [🤗 link](https://huggingface.co/ByteDance/Sa2VA-8B) |
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| Sa2VA-26B | [InternVL2.5-26B](https://huggingface.co/OpenGVLab/InternVL2_5-26B) | [internlm2_5-20b-chat](https://huggingface.co/internlm/internlm2_5-20b-chat) | [🤗 link](https://huggingface.co/ByteDance/Sa2VA-26B) |
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## Sa2VA Performance
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| Model Name | MMBench | MME | RefCOCO | RefCOCO+ | RefCOCOg | MeVIS (val_u) | DAVIS |
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|:----------:|:--------:|:----:|:-------:|:--------:|:--------:|:-------------:|:-----:|
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| Sa2VA-1B | 1504/434 | 71.9 | 79.6 | 73.6 | 77.7 | 53.4 | 69.5 |
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| Sa2VA-4B | 1691/610 | 81.8 | 82.4 | 77.6 | 79.7 | 55.9 | 73.7 |
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| Sa2VA-8B | 1690/610 | 84.4 | 82.6 | 78.0 | 80.3 | 58.9 | 75.9 |
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| Sa2VA-26B | 1698/653 | 85.8 | 82.9 | 79.3 | 81.2 | 61.8 | 78.6 |
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## Quick Start
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journal={arXiv preprint},
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year={2025}
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}
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```
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