Quantize, serve and code with local models on your Mac
OptiQ is the local-LLM stack for Apple Silicon. It measures each layer's sensitivity and gives sensitive layers more bits, so its mixed-precision quants beat a flat 4-bit quant at the same size. One MLX-native engine runs a CLI and OpenAI/Anthropic-compatible server, a local web workbench (Lab) and a terminal coding agent (Code). On Gemma-4-12B (M3 Max) it decodes 1.7x faster on prose and up to 2.9x on code edits, identical output. 200+ quants on Hugging Face. No PyTorch, no cloud.
OptiQ is a local-LLM stack designed for Apple Silicon that optimizes mixed-precision quantization for improved performance in AI tasks. It features a CLI, a compatible server, a web workbench, and a coding agent, achieving significant speed improvements on various tasks without relying on PyTorch or cloud services.
A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.