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jingyaogong 2026-05-07 10:23:39 +08:00
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@ -624,6 +624,8 @@ https://github.com/user-attachments/assets/3e8d0a76-282d-4a9d-9726-a954cf80198a
- [SLAM-Omni](https://aclanthology.org/2025.findings-acl.115/)（数据） - [SLAM-Omni](https://aclanthology.org/2025.findings-acl.115/)（数据）
- [SenseVoice](https://arxiv.org/abs/2407.04051)（组件） - [SenseVoice](https://arxiv.org/abs/2407.04051)（组件）
- [Mimi / Moshi](https://arxiv.org/abs/2410.00037)（组件） - [Mimi / Moshi](https://arxiv.org/abs/2410.00037)（组件）
- [vLLM-Omni](https://github.com/vllm-project/vllm-omni)（推理、合成数据）
- 其他参考的开源项目与论文（在技术报告中详细列出）
## 🫶支持者 ## 🫶支持者

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README_en.md
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@ -622,6 +622,8 @@ That said, the value of MiniMind-O lies exactly here. It compresses an entire Om
- [SLAM-Omni](https://aclanthology.org/2025.findings-acl.115/) (data) - [SLAM-Omni](https://aclanthology.org/2025.findings-acl.115/) (data)
- [SenseVoice](https://arxiv.org/abs/2407.04051) (component) - [SenseVoice](https://arxiv.org/abs/2407.04051) (component)
- [Mimi / Moshi](https://arxiv.org/abs/2410.00037) (component) - [Mimi / Moshi](https://arxiv.org/abs/2410.00037) (component)
- [vLLM-Omni](https://github.com/vllm-project/vllm-omni) (inference, synthetic data)
- Other referenced open-source projects and papers (full list in the technical report)
## 🫶 Supporters ## 🫶 Supporters