Coding
Home to open coding models and the libraries to run them.
The hub where the open AI community shares models, datasets and demos.
The short version
Overview
Hugging Face hosts a large public library of open models, datasets and demo apps, and maintains widely used open-source tools for building with them.
For most teams it is where you discover, compare and download open models before deploying them yourself.
Current models. Hugging Face hosts models from many labs rather than building one flagship. Public reports from September 2026 describe a planned acquisition by Nvidia.
Where it is strong
Scores are Halden’s editorial view of typical fit on a 0–5 scale. They are not benchmark results and will differ by task, model version and plan: test on your own work.
Coding, analytics, documents, research
Home to open coding models and the libraries to run them.
Datasets and models for machine learning and analytics work.
Not an assistant itself; hosts models that can do this.
A first stop for open research artifacts and demos.
Practical tips
What has changed recently
Reported at about $12.93 billion, with a pledge to keep the platform open and a close expected in the first half of 2027.
Source: Hyper.aiCompiled on October 9, 2026 from public reporting, much of it secondary. Dates, names and specifications can change, so confirm on Hugging Face’s own site before you rely on them.
Go deeper
Keep exploring
FAQ
A platform for sharing open models, datasets and apps.
Browsing and most downloads are free; paid tiers add hosting and enterprise features.
Reports in September 2026 describe a planned Nvidia acquisition, expected to close in 2027 subject to approvals.
A next step
Run a short pilot with the people who will use Hugging Face, measure the result, and decide with data, not hype.
Free assessments
Five short assessments, an instant profile and three practical next steps.
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