OpenCSG is an open-source and fair initiative established in 2023, dedicated to building an open community for LLMs.
OpenCSG stands for Converged resources, Software refined, and Generative LM. The 'C' represents Converged resources, indicating the integration and full utilization of hybrid resources. The 'S' stands for Software refined, signifying software that is refined by large models. The 'G' represents Generative LM, which denotes widespread, inclusive, and democratized generative large models.
The vision of OpenCSG is to empower every industry, every company, and every individual to own their models.
Our goal is to help enterprise reduce costs and increase efficiency in the process of developing and implementing LLMs and their applications.
We adhere to the principles of openness and open source, making the large model software stack of OpenCSG available to the community. We welcome everyone to use, feedback, and collaborative contribute.
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…
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 straigh…
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 vari…
CSGLite is a lightweight local LLM inference platform. One command downloads, loads, and chats with models. It ships a web UI, OpenAI-compatible API, llama.cpp inference, resumable downloads, marketplace browsing, and one-click AI app and coding-agent setup—all in a single cross-platform binary.
csghub-server is the backend server for CSGHub which helps user to manage datasets, modes, and also run Model Inference, Finetune and Application Spaces.
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! ⭐️
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.
This repository provides one Label Studio ML service that detects the labeling template from the project configuration and routes requests to the appropriate backend. Version v1.0.0 currently includes mask semantic segmentation and OCR.
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.
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