About HuggingChat
What is HuggingChat?
HuggingChat provides a robust, ChatGPT style experience using top open source language models like LLaMA and Qwen. It includes web search, image generation, file uploads, and the ability to select different models or use community-built tools. It’s built to be transparent, privacy-respecting, and customizable—ideal for users and developers who prefer open-source AI solutions.
How to use HuggingChat?
- Visit https://huggingface.co/chat/ and sign in (optional).
- Select your preferred model (LLaMA, Qwen, etc.).
- Chat naturally or upload files/images for multimodal interaction.
- Activate web search or custom tools from the sidebar.
- Optionally, create or use custom Assistants built on community tools.
What Are the Key Features of HuggingChat?
Multiple Open‑Source Models
Choose between LLaMA, Qwen, Cohere, Mistral, and more for different strengths in reasoning, speed, or multimodal tasks.
Web Search & Tool Access
Built-in browser search and support for community tools like calculators, image generation, and document readers.
Multimodal Inputs
Upload images or files (PDF, text) for processing by compatible models.
Custom Assistants & Tools
Create or select persona-specific assistants and integrate Hugging Face Spaces as tools.
Fully Open‑Source
Both UI and backend code are open-source, deployable via Hugging Face Spaces or self-hosted.
Real-World Use Cases of HuggingChat
HuggingChat Integrations
Frequently Asked Questions About HuggingChat
Is HuggingChat free?+
Yes — HuggingChat is entirely free to use, leveraging open‑source models and community tools.
What models can I use?+
It supports LLaMA‑3.3, Qwen‑3, Cohere‑R, Mistral, and other community models.
Can it search the web?+
Yes — built‑in web search is available in beta, helping reduce hallucinations and provide up‑to‑date info.
Can I use images or files?+
Absolutely — you can upload images or documents (PDF, Word, etc.) for analysis by supported models.
Is it truly open‑source?+
Yes — both the chat UI and backend are open‑source. You can also self‑host or deploy via Hugging Face Spaces.
