Chat LLaMA is a set of LoRA weights plus a desktop GUI for building a personal LLaMA-based chat assistant that runs locally on your GPU. It’s aimed at research and hands-on setups where privacy, model control, and customization matter.
Local assistant with LoRA adaptations
The project offers LoRA adaptations trained on the Anthropic HH dialogue dataset to produce a more assistant-like tone and more consistent multi-turn chat behavior. Model-size options help you balance output quality with hardware requirements:
- 7B
- 13B
- 30B
Customization and community-driven development
Chat LLaMA is positioned as a starting point for assembling your own assistant and iterating on it through experiments with data and fine-tuning.
- Try different datasets and training approaches
- Adjust settings to fit your use case
- An RLHF-based LoRA version is stated to be in development
- Community support and dataset sharing are coordinated via Discord
Important note
The base (foundation) model weights are not distributed; the provided materials are intended for research use.
