OptiQ

OptiQ provides a powerful local stack for running large language models directly on Apple Silicon. Key capabilities include: * Mixed-precision quantization for optimized performance * Command-line interface for model management * OpenAI/Anthropic-compatible local server * Web-based workbench (Lab) for interaction * Terminal coding agent (Code) for development assistance This platform excels at maximizing the efficiency of local model deployment. By measuring each layer's sensitivity and allocating more bits to sensitive layers, OptiQ's mixed-precision quantization outperforms standard 4-bit quantization at the same file size. For example, on a Gemma-4-12B model with M3 Max, it achieves up to 1.7x faster decoding on prose and up to 2.9x faster on code edits, all while maintaining identical output quality. The entire system operates with an MLX-native engine, eliminating the need for PyTorch or cloud dependencies. The OptiQ ecosystem includes over 200 pre-quantized models available on Hugging Face. The unified server architecture means you compile a model once via the CLI, then seamlessly use it across the Lab's browser interface, the terminal coding agent, or your preferred editor. This offers a fully offline, high-performance environment for model experimentation and application development. Ideal for developers, researchers, and content creators utilizing Apple Silicon Macs who require efficient, local model inference, fine-tuning, and application building without reliance on external frameworks or cloud services.