#LLaMA models

LLaMA.go is a framework for LLaMA model inference in Golang, reducing GPU dependencies and offering cross-platform support. It emphasizes performance and includes features like multi-threading and a standalone server mode. Future updates will enhance architecture support, performance optimizations, and compatibility with additional AI models.

LlamaChat provides macOS users the opportunity to interact with AI models like LLaMA, Alpaca, and GPT4All on their local system. Compatible with macOS 13 and supporting both Intel and Apple Silicon, it can be easily downloaded or compiled from source. LlamaChat supports various model formats like PyTorch and ggml, enabling flexible machine learning exploration. It offers chat customization with unique avatars and persistent chat history. Upcoming versions are expected to support additional models such as Vicuna and Koala, ensuring continuous enhancement. Built on an MVVM architecture, the app efficiently uses Swift Concurrency and Combine for smooth operation.