Which models does the platform support?

this tool includes Llama 3.3, Qwen 2.5, Mistral Nemo, Command R+, and other top open models. New the app models are added shortly after community release.

Can I self-host the platform?

Yes, the platform code is open source on GitHub. Deploy your own the app instance using community model weights for full privacy and control.

Does the platform have an API?

this tool itself is a hosted chat interface, but the underlying models are accessible via the Hugging Face Inference API. Useful for programmatic chatbot access.

How does the app compare to ChatGPT?

the platform is free and uses open-weight models. ChatGPT has stronger closed models but requires a subscription for full this tool-equivalent capability.

HuggingChat

Open Source AI Chatbot Powered by Hugging Face Models

Free

ChatbotFreeOpen Source

Visit HuggingChat

What is HuggingChat?

HuggingChat is Hugging Face's free, open source AI chatbot offering access to leading community models like Llama 3.3, Qwen 2.5, Mistral Nemo, and Command R+. HuggingChat is fully free and requires no subscription, with the entire stack including model weights and serving infrastructure built around open licenses. HuggingChat supports web search, file uploads, image generation through community tools, and Assistants for building custom prompted chatbots. HuggingChat is the go-to AI chatbot for developers, researchers, and privacy-conscious users who prefer open source AI over closed proprietary models. The HuggingChat platform showcases the rapidly improving capabilities of community-trained models against established commercial chatbots.

Key Features of HuggingChat

Open Source Models

HuggingChat serves only open-weight models including Llama 3.3, Qwen 2.5, Mistral Nemo, and Command R+. HuggingChat showcases the open AI ecosystem with full model transparency users can inspect.

Model Switching

Switch between HuggingChat models per conversation. Compare Llama and Qwen responses on the same prompt to evaluate which open model best fits your task.

Web Search Integration

HuggingChat queries the live web to ground answers in current sources when needed. Useful for questions about recent events or quickly changing facts.

Custom Assistants

Build a HuggingChat Assistant with custom system prompts and choose any supported model. Share your HuggingChat assistant publicly or use it privately for recurring workflows.

File Upload Support

Upload PDFs and text files to HuggingChat for context-grounded answers. The chatbot reads attachments and references content throughout the conversation.

Free Forever

HuggingChat is fully free with no premium tier or message caps. Hugging Face funds HuggingChat as part of its mission to democratize open AI.

HuggingChat Pricing Plans

Free

Unlimited access to all HuggingChat models, web search, assistants, and file uploads. HuggingChat offers the full feature set at no cost forever.

No Paid Tier

HuggingChat is offered free with no consumer subscription tier. Hugging Face monetizes through enterprise offerings rather than HuggingChat itself.

Best Use Cases for HuggingChat

Evaluating Open Source Models

Target user:: Developer comparing models for production deployment
Pain point:: Spinning up infrastructure to test each model is slow
Solution:: Use HuggingChat to evaluate Llama, Qwen, and Mistral side by side. Pick the strongest HuggingChat model before investing in self-hosted infrastructure.

Privacy-conscious Conversation

Target user:: User avoiding proprietary AI services
Pain point:: Closed chatbots send queries to opaque corporate servers
Solution:: Chat with HuggingChat using fully open models. The HuggingChat stack is transparent and the underlying weights can be self-hosted if needed.

Learning About Open AI

Target user:: Student studying modern AI development
Pain point:: Most chatbots are closed, hiding model details
Solution:: Explore HuggingChat to interact with open models directly. The platform interface links to Hugging Face model cards for full technical specs.

Custom Assistant Prototyping

Target user:: Developer designing a domain-specific chatbot
Pain point:: Building a wrapper around an API takes engineering time
Solution:: Create a HuggingChat Assistant with a system prompt and chosen model. Iterate on prompt design instantly without writing any backend code.

How to Use HuggingChat — Step by Step

1
Visit huggingface.co/chat
Open the platform URL in any browser. Sign in with a free Hugging Face account or start using the app as a guest immediately.
2
Pick a Model
Select an open model from the platform sidebar. Options include Llama 3.3, Qwen 2.5, Mistral Nemo, and Command R+, each with different strengths.
3
Start a Conversation
Type any question into the platform prompt. The selected model responds in seconds with the option to enable web search for current information.
4
Try Different Models
Send the same prompt to different the app models and compare responses. Useful for choosing the right open model for your specific task pattern.
5
Build an Assistant
Open the platform Assistants panel and create a custom bot. Define system prompt, model, and tools, then share your this tool assistant publicly or privately.

HuggingChat vs Alternatives

Need open source AI chat?

Pick: HuggingChatthe app serves only open-weight models with full transparency. No major closed chatbot matches the platform commitment to open AI.

Need top closed-model capability?

Pick: ChatGPTGPT-4o still leads this tool models on many benchmarks. For maximum raw capability, ChatGPT and Claude outperform the app options today.

Need many models in one place?

Pick: PoePoe bundles open and closed models together under one subscription. HuggingChat focuses exclusively on open weights without commercial models.