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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.
README.md

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. MOVA MOVA Public

    MOVA: Towards Scalable and Synchronized Video–Audio Generation

    Python 581 38

  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 34

  4. 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 1.1k 97

  5. AnyGPT AnyGPT Public

    Code for "AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling"

    Python 870 74

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

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

    Python 177 23

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