Mistral.rs: High-Speed, Versatile LLM Inference Tool

Large language models (LLMs) are revolutionizing how we interact with technology, but deploying them efficiently can be challenging. Mistral.rs emerges as a powerful solution, designed to streamline LLM inference for developers seeking speed and versatility. This innovative tool supports multiple frameworks, including Python and Rust, and boasts an OpenAI-compatible API server for seamless integration. Mistral.rs empowers users with in-place quantization for Hugging Face models, multi-device mapping (CPU/GPU) for optimized resource allocation, and a range of quantization options from 2-bit to 8-bit. Whether you're working with text, vision, or diffusion models, Mistral.rs offers advanced capabilities like LoRA adapters, paged attention, and continuous batching. Its support for Apple silicon, CUDA, and Metal ensures versatile deployment across diverse hardware setups, making it the ideal choice for developers demanding scalable, high-speed LLM operations.