#cross-platform compatibility

MLC LLM offers a high-performance compiler and deployment engine for large language models, enabling seamless development and optimization across platforms like Linux, macOS, web browsers, and mobile devices. With a unified inference engine and OpenAI-compatible APIs, it supports multiple programming languages and operating systems. Designed to streamline AI model deployment, the project is continuously improved in collaboration with the community to ensure top-tier performance and reliability.

This script supports diverse systems and architectures with functionalities including CPU, memory, disk IO, and IP quality testing. It is optimized for speed and efficiency and offers both interactive and non-interactive modes, suitable for various server configurations. The script integrates various testing methods for reliable performance insights, regularly updated and maintained for error correction. It is ideal for assessing server capabilities worldwide.

Runtime Speech Recognizer provides efficient speech recognition utilizing OpenAI Whisper. It supports both English-only and multilingual models covering up to 100 languages. Offers the ability to choose model sizes from 75 Mb to 2.9 Gb with automatic language model download and optional speech translation to English. Customizable features come without static libraries or external dependencies, allowing cross-platform integration on Windows, Mac, Linux, Android, and iOS. Ideal for developers in need of reliable speech recognition across different applications.