Hugging Face Hub
Platform for discovering, sharing and collaborating on machine learning models.
1 member lists Hugging Face Hub, up 1 in the last 12 weeks, data as of 27 October 2026
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About Hugging Face Hub
Hugging Face Hub is a platform where machine learning developers collaborate on models, datasets, and applications. The site hosts over two million models and hundreds of thousands of datasets that developers can discover, share, and build upon. Developers use it to explore pre-trained models across different modalities - text, image, video, audio, and 3D - and to create and deploy machine learning applications through the platform's Spaces feature.
The platform offers both free and paid tiers. Free features include hosting public models, datasets, and applications. Paid options include Team and Enterprise plans starting at twenty dollars per user per month, which add security features and support. Compute solutions are available for inference endpoints and GPU acceleration, starting at sixty cents per hour for GPU resources. The platform also provides access to inference providers and integrates models from multiple AI vendors through a unified API.
Checked 24 October 2026.
@karo
Posts about Hugging Face Hub
- Mistral Large 4 vs Beam vs Kolibri: which open weights you can download, and what your hardware can serve
Only Kolibri's weights are out. Beam and Mistral Large 4 stay API previews until late October, and Kolibri's 4-bit build runs at 50 tok/s on a 64GB Mac.
- How do you run System One decision models locally? Ollaya, laya-mlx and the runtime slot
To run a System One model locally, pick a runtime too: Ollaya serves ten open model families, laya-mlx runs Laya on Apple silicon, and llama.cpp needs a shim.
- Open-source alternatives to Jev, and what each one replaces
The open-source alternatives to Jev are Laya, Kev, SemIf, Open-Jev and Nimble. They are four kinds of project, and here is what each one replaces.