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README.md
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author={Liu, Zuyan and Dong, Yuhao and Wang, Jiahui and Liu, Ziwei and Hu, Winston and Lu, Jiwen and Rao, Yongming},
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journal={arXiv preprint arXiv:2502.04328},
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year={2025}
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}
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# File information
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The repository contains the following file information:
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Filename: generation_config.json
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Content: {
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"attn_implementation": "flash_attention_2",
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"bos_token_id": 151643,
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"do_sample": true,
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"eos_token_id": [
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151645,
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151643
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],
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"pad_token_id": 151643,
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"repetition_penalty": 1.05,
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"temperature": 0.7,
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"top_k": 20,
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"top_p": 0.8,
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"transformers_version": "4.43.4"
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}
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Filename: merges.txt
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Content: "Content of the file is larger than 50 KB, too long to display."
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Filename: special_tokens_map.json
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Content: {
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"additional_special_tokens": [
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"<|im_start|>",
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"<|im_end|>",
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"<|object_ref_start|>",
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"<|object_ref_end|>",
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"<|box_start|>",
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"<|box_end|>",
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"<|quad_start|>",
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"<|quad_end|>",
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"<|vision_start|>",
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"<|vision_end|>",
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"<|vision_pad|>",
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"<|image_pad|>",
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"<|video_pad|>"
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],
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"eos_token": {
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"content": "<|im_end|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "<|mm_pad|>"
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}
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Filename: model.safetensors.index.json
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Content: "Content of the file is larger than 50 KB, too long to display."
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Filename: config.json
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Content: "Content of the file is larger than 50 KB, too long to display."
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Filename: vocab.json
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Content: "Content of the file is larger than 50 KB, too long to display."
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Filename: tokenizer_config.json
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Content: "Content of the file is larger than 50 KB, too long to display."
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# Project page
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The project page URL we found has the following URL:
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# Github README
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The Github README we found contains the following content:
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<div align="center">
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<img src="assets/logo.png" width="30%"/>
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# OLA: Pushing the Frontiers of Omni-Modal Language Model with Progressive Modality Alignment
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Join our [WeChat](http://imagebind-llm.opengvlab.com/qrcode/)
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[[Project Page](https://ola-omni.github.io/)] [[Demo](http://106.14.2.150:10020/)]
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</div>
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<img src="assets/teaser.png" width="100%"/>
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## 🚀 News
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* [2025/02/07] 🎉🎉🎉 Initial codebase for eval and training will be released ASAP! Thanks for your attention.
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## ⚡ Model Zoo
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1. Speech-Visual Data
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* [ ] image+text with local audio caption.
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* [ ] videos from webvid2.5m with audio caption.
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2. Visual Tokenizer
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* [ ] Imagebind small.
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* [ ] Oryx-ViT 18B-1152.
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3. Training Pipeline
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* [ ] image+text stage.
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* [ ] audio+image+text stage.
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* [ ] video+audio+image+text stage
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## TODO
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- [ ] Multi Stage Training
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## ⚙️ Installation
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See [INSTALL.md](docs/INSTALL.md) for detailed instructions.
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## 🛴 Quick Inference Code
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- Check out the [quick inference script](example/inference/image_audio.ipynb) using a visual and audio data!
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## 📃 Citation
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```
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@article{liu2025ola,
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title={Ola: Pushing the Frontiers of Omni-Modal Language Model with Progressive Modality Alignment},
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author={Liu, Zuyan and Dong, Yuhao and Wang, Jiahui and Liu, Ziwei and Hu, Winston and Lu, Jiwen and Rao, Yongming},
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journal={arXiv preprint arXiv:2502.04328},
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year={2025}
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}
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```
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## Acknowledgement
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- This project has been built using the great codebase of [Qwen](https://github.com/QwenLM/Qwen), [Video-LLaVA](https://github.com/mbai-xiao/Video-LLaVA), [OpenFlamingo](https://github.com/mlfoundations/open_flamingo). We thank the authors for their wonderful works.
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## Contact
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- If you have any questions, feel free to open issues or pull requests.
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Format your response as markdown, like this:
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## reasoning
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A reasoning section regarding which metadata is most appropriate for the given model to put in the `content` section as YAML, given the available
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context about the paper (abstract, Github README content and project page content if provided). Formatted as plain text.
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## Title
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The title of your Hugging Face pull request formatted as plain text
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## Comment
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The comment of your Hugging Face pull request formatted as markdown
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## Metadata
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The metadata of the new/updated model card formatted as YAML.
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## Content
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The content of the new/updated README.md (model card) formatted as markdown
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Start your answer directly with a "## Reasoning" section followed by "## Title", "## Comment", "## Metadata" and "## Content" sections
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that are filled in with relevant info for the given paper. Only format the Metadata section using ```yaml and ``` markers.
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In case there is already an Arxiv link present, there is no need to replace it with a Hugging Face paper page link.
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In case there is already a Github or project page URL present, there is no need to mention in the comment that you added it.
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author={Liu, Zuyan and Dong, Yuhao and Wang, Jiahui and Liu, Ziwei and Hu, Winston and Lu, Jiwen and Rao, Yongming},
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journal={arXiv preprint arXiv:2502.04328},
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year={2025}
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}
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