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.
In the Foundation models & chat space, gigachat-audio-mlx takes a focused approach. It focuses on running GigaChat audio models locally on Apple Silicon without cloud dependency. It is built as an open-source project for developers. The project is open source (MIT). gigachat-audio-mlx is available on the command line and macOS.
ai-babai builds and maintains gigachat-audio-mlx, and it 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.
Summary written by a language model from the project’s public pages.
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