Hugging Face
The hub for open models, datasets and ML libraries. Hugging Face runs the Hub, the main public registry for open model weights and datasets, and maintains widely used libraries such as Transformers, Datasets and PEFT. It also offers hosted inference endpoints and private repositories for organisations. Most open-weight models are distributed through it.
When it is the right choice
- You want to find, compare and download open-weight models and datasets
- You are fine-tuning models and need standard tooling for training and evaluation
- You want a private registry for your own model versions
- Not a production serving platform by itself; you still need a serving layer and infrastructure for real traffic
How we use it
- Pull pinned model revisions from the Hub into your own storage so deployments are reproducible
- Fine-tune with Transformers and PEFT, then serve the result with vLLM or TGI
- Mirror models internally so production never depends on a public download at runtime
- Keep model cards, licences and evaluation results with each version
vLLM
Llama
NVIDIA GPUsRelated articles
From Idea to AI Feature in Six WeeksHow an AI project runs end to end in six weeks: discovery, design, prototype, infrastructure, rollout, then measuring and improving.
CI/CD for Models and PromptsEvaluation gates, model registries, canary releases and rollback: applying CI/CD discipline to prompts and models in LLM applications.
Fine-Tuning or Prompting? A Decision Guide for Small TeamsWhen prompting, RAG or fine-tuning is the right way to adapt a language model, and what each one costs a small engineering team.Hugging Face: frequently asked
Should production pull models from the Hub directly?
We advise against it. Mirror the exact model revision to your own object storage or registry so a deploy does not fail because of a network issue or a changed upstream repository.
Do we need a paid Hugging Face plan?
Not for downloading public models. Paid plans add private repositories, team features and hosted inference, which some teams find useful.
Running Hugging Face, or deciding whether to? Tell us what you have; the first consultation is free.
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