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! ⭐️

csghub-server is the backend server for CSGHub which helps user to manage datasets, modes, and also run Model Inference, Finetune and Application Spaces.

The CSGHub SDK is a powerful Python client specifically designed to interact seamlessly with the CSGHub server. This toolkit is engineered to provide Python developers with an efficient and straightforward method to operate and manage remote CSGHub instances.

This repository provides installation scripts and configuration files for deploying the CSGHub instance, includes Helm charts and Docker Compose scripts to streamline the deployment process in various environments.

OpenCSG dataflow is a one-stop data processing platform designed to leverage large model technology and advanced algorithms to optimize the entire data processing lifecycle, enhancing efficiency and precision, while addressing enterprise challenges in data management such as inefficiency, adaptability gaps, and security and compliance issues.

This project is dedicated solely to building Docker images for CSGHub omnibus deployment.

A lightweight tool for running large language models locally, powered by models from the [CSGHub](https://opencsg.com) platform.

CSGHub MCP Servers is a specialized service component designed to provide model/inference/finetune/evaluation/space/dataset/code control tools for the CSGHub server ecosystem.

Forked from https://github.com/go-gitea/gitea

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This is Omnibus-CSGHub command-line tool written by DevOps engineer.

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