Hugging Face Playground
Run free, open-source models straight from PromptForge using the Hugging Face Inference API. Paste your free token, pick a model, and try your prompts.
Your Hugging Face token
Stored only in your browser (localStorage) — never sent anywhere except Hugging Face.
How to get a free token
- Create a free account at huggingface.co
- Go to Settings → Access Tokens
- Create a token with “Read” permission
- Paste it above — you're ready
Free inference is rate-limited and some models cold-start (a first call may take ~20s). If a model is busy, try another from the list.
Why open-source models are worth testing
Most people's experience of AI is one commercial chat interface, which makes it easy to assume all models behave alike. They do not. Open-weights models differ noticeably from the hosted flagships in how much instruction they need, how they handle ambiguity, and how they fail — and the differences are the useful part, because they tell you what your prompt is actually relying on.
A prompt that works on a frontier model and falls apart on a smaller open one was usually leaning on the bigger model to infer something you never said. That is worth knowing before it happens in production, and it is the fastest way to find the underspecified parts of your own prompts.
What you need
A free Hugging Face account and an access token, which takes about two minutes to create. The token is stored in your browser's local storage and sent directly to Hugging Face — it never reaches us, because this page has no server component that could receive it. Clearing your browser data removes it.
The free inference tier is rate-limited and models are loaded on demand, so the first request to a model that has gone cold can take twenty or thirty seconds and occasionally times out. Retrying usually works. This is a characteristic of the free tier rather than a fault.
What this is not for
It is a place to try prompts, not to build on. There is no conversation history, no system prompt persistence and no throughput guarantee, and the free tier is not suitable for anything with users attached. If a model here works well for your task, the next step is running it properly — through a hosted inference provider or on your own hardware.
Do not paste confidential material here. The request goes to Hugging Face under their terms, not ours, and the same caution applies that applies to any third-party inference service.
Getting more out of it
Run the same prompt across two or three models rather than iterating on one. The disagreements point straight at the vague parts of your instruction. Our Prompt Optimizer restructures a prompt to close those gaps, and the model index covers what each open model is actually built for.