cd /news/large-language-models/hugging-face-modelscope-or-csghub-ho… · home topics large-language-models article
[ARTICLE · art-36159] src=github.com ↗ pub= topic=large-language-models verified=true sentiment=↑ positive

Hugging Face, ModelScope, or CSGHub: How Should a Team Choose?

CSGHub, an open-source platform for managing Large Language Model (LLM) assets, offers on-premise deployment for secure, offline operation. It provides a unified interface for uploading, downloading, storing, and distributing LLM assets, with features including microservice submodules, standardized OpenAPIs, and enterprise-level security. The platform aims to serve as a private alternative to Hugging Face, enabling teams to manage LLMs, datasets, and spaces efficiently.

read2 min views1 publishedJun 22, 2026
Hugging Face, ModelScope, or CSGHub: How Should a Team Choose?
Image: source

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.

  • Unified LLMs Management
  • Extensible Development Framework
  • Advanced Model Capabilities and Optimization
  • Space and Asset Management Assistant (Copilot)
  • Multi-Source Data Synchronization and Recommendation
  • Enterprise-Level Security and Access Control
  • On-Premises Deployment Solutions
  • E2E Data Processing and Intelligent Annotation System
  • Resilient High-Availability Architecture

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.

CSGHub_EN.mp4 #

For those looking to quickly explore, experiment with CSGHub's free SaaS version on the OpenCSG website. Refer to thisbrief quick start guideto handle LLMs/datasets and deploy LLM applications with CSGHub SaaS interface. - For users seeking further practice: Please refer to theCSGHub official documentation. The documentation currently provides installation methods usingDocker ComposeandHelm Chart.For more information and advanced tutorials, please refer to theOpenCSG 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.

  • The process for joining community meetings, where you can engage with fellow members and share your ideas. - Refer to the contribution guidefor strategies on how to contribute to the project. Contact usfor any questions or issues, ensuring you're always supported throughout your journey with OpenCSG.- Refer to the development guidefor instructions on setting up the development environment.
── more in #large-language-models 4 stories · sorted by recency
── more on @csghub 3 stories trending now
sponsored brought to you by zahid.host 4,200+ EU-deployed projects
reading about agents? ship yours in a single git push.

Run your AI side-project on zahid.host

EU-based hosting, git-push deploys, automatic HTTPS, no cold starts. Free tier with a custom domain — perfect for shipping the agent you just read about.

$git push zahid main
Live at https://your-agent.zahid.host
Get free account → Pricing
from €0/mo · no card required
LIVE [news/hugging-face-modelsc…] indexed:0 read:2min 2026-06-22 ·