ChatLLaMA

ChatLLaMA is an AI chat bot tool. ChatLLaMA bundles LoRA dialogue adapters (7B, 13B, 30B, plus 2048 sequence variants) with a desktop GUI so you can run a personal AI assistant locally on your own GPU.

ChatLLaMA is a package of LoRA adapter weights and a desktop GUI for running a conversational AI assistant on your own GPU hardware. Rather than sending prompts to a hosted service, the models run locally, so the whole conversation stays on the machine. The LoRA weights are trained on Anthropic's HH dialogue dataset, which the creators describe as modeling seamless conversations between an assistant and a user. The package is sold in three model sizes: 7B, 13B and 30B. Most of those sizes are also offered at a 2048 sequence length variant for longer context. The separate Desktop LLaMa GUI is the interface layer that lets you load a model and chat without assembling a Python stack yourself. A RLHF version of the LoRA weights is listed as coming soon. There are no foundation model weights included, so you still need to obtain the base LLaMA weights yourself before the adapters are useful. Practical buyers are mostly researchers, hobbyists with a capable GPU, and developers who want to experiment with fine tuned dialogue adapters without training them from scratch. Setup assumes some comfort with local model files and the dependencies the GUI needs. The creators explicitly frame the weights as trained for research rather than as a polished consumer product. Among alternatives, ChatLLaMA sits in the self-hosted camp alongside other local chat front ends and open model releases. Its distinguishing angle is that you buy the adapters and the GUI together for a low one time price rather than a subscription, and the training data is dialogue focused. Anyone without a foundation model file, or without the patience for local setup, will get more from a hosted assistant. The small price and the research framing set expectations accordingly.