ChatLLaMA

Run your own personal AI assistant on your hardware—no cloud APIs required. ChatLLaMA gives you LoRA weights trained on Anthropic's HH dataset. Build conversational AI that works on consumer GPUs. Three model sizes match whatever hardware you've got. The 7B model runs on modest setups. More power? Grab the 13B or 30B versions. Each comes in standard and extended 2048 sequence length variants. A desktop GUI handles local deployment. No wrestling with command-line tools. Here's the catch—these aren't foundation model weights. You're getting LoRA adapters that work with existing LLaMA base models. Training focused on modeling natural back-and-forth between users and AI assistants. Over 2000 people grabbed these weights already (4.8 rating across 127 reviews). This suits researchers and developers building custom chatbot experiences. Prototyping a domain-specific assistant for legal research? Want to experiment with conversational AI without monthly API bills eating your budget? The open source approach gives you control over data and deployment. The team built this primarily for research purposes. They're actively seeking developers to contribute code in exchange for GPU resources. An RLHF version is supposedly coming—hasn't materialized yet. You'll need to source your own base LLaMA weights separately since only the LoRA adapters come included here. For anyone wanting local AI assistants without vendor lock-in, it's a solid starting point.