Llama CPP is a tool for implementing language models such as LLaMA, Alpaca and GPT4All in pure C/C++. It is optimized for Apple Silicon processors via ARM NEON and the Accelerate framework, with AVX2 compatibility for x86 architectures. This tool runs on the CPU and supports 4-bit quantization.
Llama CPP is suitable for various operating systems, including Mac OS, Linux and Windows (via CMake). It is also operational in a Docker environment. It allows the use of several language models, including:
- Chinese LLaMA / Alpaca
- Vigogne (French)
Once Llama CPP has been compiled and the original model weights obtained, the instrument can be used to convert and quantify the models. It can also be used in interactive mode for an experiment similar to ChatGPT.
A key feature of Llama is its ability to produce contextually appropriate responses based on user input. When a user provides specific information, Llama uses it to adjust its response in a relevant way. For example, if a user indicates that they own a dog, Llama can tailor its responses to include information about dogs or ask questions about dogs.
In addition, Llama takes into consideration the user’s preferences and interests to provide a personalized experience. Users can indicate their interests, and Llama will adjust its responses accordingly. This allows Llama to provide tailored and engaging answers for each user.