gigachat-audio-mlx is a Python package that enables native inference for GigaChat audio models on Apple Silicon hardware using the MLX framework. It supports audio understanding and temporal grounding tasks directly on-device. Designed for developers building local audio AI applications, it provides a lightweight, MIT-licensed alternative to cloud-based audio processing.
gigachat-audio-mlx is an AI & ML product. It focuses on running GigaChat audio models locally on Apple Silicon without cloud dependency. It is built as an open-source project for developers. gigachat-audio-mlx is open source under the MIT license. gigachat-audio-mlx is available on the command line and macOS.
It is developed by ai-babai, and the product first shipped in 2026. Development happens publicly on GitHub with 11 commits in the last 90 days. Key capabilities include Local Inference, Apple Silicon Support, and MLX Integration.
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