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@OpenMOSS

OpenMOSS (SII)

OpenMOSS Team is a research group under the Shanghai Innovation Institution (SII), working in close collaboration with Fudan University and MOSI Intelligence.

Introduction 👋

OpenMOSS Team is a research group under the Shanghai Innovation Institution (SII), working in close collaboration with Fudan University and MOSI Intelligence. Led by Prof. Xipeng Qiu, the team conducts cutting-edge research on large language models (LLMs), advancing the frontiers of model architecture, evaluation, and application with a strong commitment to open, collaborative, and impactful AI innovation.

We warmly welcome researchers, students, and collaborators who share our vision to join us in pushing the boundaries of LLM technology. For inquiries or collaboration opportunities, please contact us at openmoss@sii.edu.cn .

🌐 Website: https://openmoss.github.io/ or http://openmoss.sii.edu.cn/

💻 GitHub: https://github.com/OpenMOSS

  • SII is dedicated to fostering innovation in education and research in the field of artificial intelligence.

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  1. MOSS MOSS Public

    An open-source tool-augmented conversational language model from Fudan University

    Python 12.1k 1.1k

  2. MOSS-VL MOSS-VL Public

    MOSS-VL is the core multimodal model series within the OpenMOSS ecosystem, dedicated to visual understanding.

    Python 178 3

  3. MOSS-TTS MOSS-TTS Public

    MOSS‑TTS Family is an open‑source speech and sound generation model family from MOSI.AI and the OpenMOSS team. It is designed for high‑fidelity, high‑expressiveness, and complex real‑world scenario…

    Python 1.2k 109

  4. MOVA MOVA Public

    MOVA: Towards Scalable and Synchronized Video–Audio Generation

    Python 895 63

  5. MOSS-TTSD MOSS-TTSD Public

    MOSS-TTSD is a spoken dialogue generation model designed for expressive multi-speaker synthesis. It features long-context modeling, flexible speaker control, and multilingual support, while enablin…

    Python 1.3k 122

  6. Language-Model-SAEs Language-Model-SAEs Public

    Performant framework for training, analyzing and visualizing Sparse Autoencoders (SAEs) and their frontier variants.

    Python 211 28

Repositories

Showing 10 of 48 repositories
  • Language-Model-SAEs Public

    Performant framework for training, analyzing and visualizing Sparse Autoencoders (SAEs) and their frontier variants.

    OpenMOSS/Language-Model-SAEs’s past year of commit activity
    Python 211 28 8 0 Updated Apr 11, 2026
  • MOSS-TTS-Nano Public

    MOSS-TTS-Nano is an open-source multilingual tiny speech generation model from MOSI.AI and the OpenMOSS team. With only 0.1B parameters, it is designed for realtime speech generation, can run directly on CPU without a GPU, and keeps the deployment stack simple enough for local demos, web serving, and lightweight product integration.

    OpenMOSS/MOSS-TTS-Nano’s past year of commit activity
    Python 6 Apache-2.0 0 0 0 Updated Apr 11, 2026
  • OpenMOSS/MOSS-TTS-Nano-Demo’s past year of commit activity
    CSS 0 0 0 0 Updated Apr 11, 2026
  • MOSS-VL Public

    MOSS-VL is the core multimodal model series within the OpenMOSS ecosystem, dedicated to visual understanding.

    OpenMOSS/MOSS-VL’s past year of commit activity
    Python 178 Apache-2.0 3 0 0 Updated Apr 11, 2026
  • sglang Public
    OpenMOSS/sglang’s past year of commit activity
    Python 2 Apache-2.0 0 0 0 Updated Apr 10, 2026
  • mlx-audio Public Forked from Blaizzy/mlx-audio

    A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.

    OpenMOSS/mlx-audio’s past year of commit activity
    Python 4 MIT 550 0 0 Updated Apr 9, 2026
  • MOSS-VL-Demo Public
    OpenMOSS/MOSS-VL-Demo’s past year of commit activity
    Vue 4 0 0 0 Updated Apr 9, 2026
  • MOSS-Video-Preview Public

    A real-time video understanding foundation model built on Llama-3.2-Vision, featuring comprehensively extended video processing and multimodal reasoning capabilities.

    OpenMOSS/MOSS-Video-Preview’s past year of commit activity
    Python 133 Apache-2.0 4 0 0 Updated Apr 8, 2026
  • llama.cpp Public
    OpenMOSS/llama.cpp’s past year of commit activity
    C++ 3 MIT 1 0 1 Updated Apr 8, 2026
  • BandPO Public

    Official implementation of BandPO: Bridging Trust Regions and Ratio Clipping via Probability-Aware Bounds for LLM Reinforcement Learning. BandPO replaces canonical clipping (PPO/GRPO) with dynamic bounds to resolve exploration bottlenecks and prevent entropy collapse.

    OpenMOSS/BandPO’s past year of commit activity
    Python 49 GPL-3.0 4 0 0 Updated Apr 8, 2026

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