OpenCSGs

This project designs common use scenarios for web-based code, model, and dataset hosting platforms, and provides corresponding prompts and ground truth. These resources can be used to evaluate the localization performance of visual language models (VLMs) in specialized scenarios.

llm-inference is a platform for publishing and managing llm inference, providing a wide range of out-of-the-box features for model deployment, such as UI, RESTful API, auto-scaling, computing resource management, monitoring, and more.

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 an open-source large model platform just like on-premise version of Hugging Face. You can easily manage models and datasets, deploy model applications and setup model finetune or inference jobs with user interface. CSGHub also provides Python SDK with full compatibility of hf sdk. Join us together to build a safer and more open platform⭐️