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CSGHub is a brand-new open-source platform for managing LLMs, developed by the OpenCSG team. It offers both open-source and on-premise/SaaS solutions, with features comparable to Hugging Face. Gain full control over the lifecycle of LLMs, datasets, and agents, with Python SDK compatibility with Hugging Face. Join us! ⭐️
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简体中文 ∙ 日本語 ∙ 한국어 ∙ Español CSGHub is an open-source platform designed for managing Large Language Models (LLM) assets, offering an efficient way to handle the entire LLM and their assets such as datasets, spaces and codes etc. It allows users to upload, download, store, verify, and distribute LLM assets like DeepSeek,Llama etc.via a web interface, git command line, a natural language Chatbot, or CSGHub SDK.README 전문 보기 ↗
CSGHub is an open-source platform designed for managing Large Language Models (LLM) assets, offering an efficient way to handle the entire LLM and their assets such as datasets, spaces and codes etc. It allows users to upload, download, store, verify, and distribute LLM assets like DeepSeek,Llama etc.via a web interface, git command line, a natural language Chatbot, or CSGHub SDK.
Additionally, CSGHub features microservice submodules and standardized OpenAPIs for seamless integration with existing systems. It aims to provide a user-friendly management platform specifically for LLM, which can be deployed On-Premise for secure, offline operation. Essentially, CSGHub serves as a private, on-premise version of Huggingface.
For further information, please see the detailed introduction of CSGHub.
To help users get up to speed with CSGHub, we have created a demo video that highlights its key features and how it works. You can watch it below or on YouTube/Bilibili.
For those looking to quickly explore, experiment with CSGHub's free SaaS version on the OpenCSG website. Refer to this brief quick start guide to handle LLMs/datasets and deploy LLM applications with CSGHub SaaS interface.
For users seeking further practice: Please refer to the CSGHub official documentation. The documentation currently provides installation methods using Docker Compose and Helm Chart.
For more information and advanced tutorials, please refer to the OpenCSG Documentation Center.
Discover the roadmap outlining CSGHub's future direction.
Refer to release notes for information on feature improvements.
We warmly invite you to explore the OpenCSG Community, where you'll find comprehensive guides on becoming a vital part of the project.