csghub-server and csghub

The csghub-server is the backend infrastructure that powers the csghub frontend platform, making them complementary components of the same LLM management ecosystem rather than alternatives.

csghub-server
73
Verified
csghub
64
Established
Maintenance 22/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 17/25
Adoption 10/25
Maturity 16/25
Community 21/25
Stars: 1,414
Forks: 380
Downloads:
Commits (30d): 107
Language: Go
License: Apache-2.0
Stars: 5,495
Forks: 682
Downloads:
Commits (30d): 7
Language: Vue
License: Apache-2.0
No Package No Dependents
No Package No Dependents

About csghub-server

OpenCSGs/csghub-server

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

This project helps manage and organize a collection of large language models (LLMs), their associated datasets, and other related assets. It takes various LLMs and datasets as input, providing a centralized system to categorize, search, preview, and track their usage. The primary user would be an MLOps engineer, researcher, or platform administrator responsible for managing an organization's AI assets.

MLOps model-management dataset-management AI-asset-management LLM-operations

About csghub

OpenCSGs/csghub

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 platform helps AI teams securely manage and deploy their Large Language Models (LLMs) and associated datasets. It provides a centralized hub to upload, store, version, and distribute LLMs, datasets, and code, giving you full control over their lifecycle. AI researchers, MLOps engineers, and data scientists would use this to manage their private LLM assets.

LLM management MLOps AI model deployment data governance private AI infrastructure

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