ChatLLaMA – A ChatGPT style chatbot for Facebook's LLaMA
ChatLLaMA is an experimental chatbot interface for interacting with variants of Facebook's LLaMA. Currently, we support the 7 billion parameter variant that was fine-tuned on the Alpaca dataset. This early versions isn't as conversational as we'd like, but over the next week or so, we're planning on adding support for the 30 billion parameter variant, another variant fine-tuned on LAION's OpenAssistant dataset and more as we explore what this model is capable of. If you want deploy your own instance is the model powering the chatbot and build something similar we've open sourced the Truss…
In plain words
ChatLLaMA is an experimental chatbot interface for interacting with Facebook's LLaMA language model variants. It currently supports the 7-billion-parameter model fine-tuned on the Alpaca dataset, with plans to add larger variants and models trained on different datasets. The interface allows users to chat with the model directly in a browser. Developers can deploy their own instances using the open-sourced code provided, making it accessible for those who want to build similar applications or experiment with different LLaMA variants.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
ChatLLaMA is an experimental chatbot interface for interacting with variants of Facebook's LLaMA. Currently, we support the 7 billion parameter variant that was fine-tuned on the Alpaca dataset. This early versions isn't as conversational as we'd like, but over the next week or so, we're planning on adding support for the 30 billion parameter variant, another variant fine-tuned on LAION's OpenAssistant dataset and more as we explore what this model is capable of. If you want deploy your own instance is the model powering the chatbot and build something similar we've open sourced the Truss here: https://github.com/basetenlabs/alpaca-7b-truss We'd love to hear any feedback you have. You can reach me on Twitter @aaronrelph or Abu (the engineer behind this) @aqaderb. Disclaimer: We both work at Baseten. This was a weekend project. Not trying to shill anything; just want to build and share cool stuff.
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