A 4-bit quantized version of the Qwen3-ASR-0.6B model optimized for Apple's MLX framework. Supports speech recognition for English, Chinese, Japanese, Korean, French, German, Spanish and other languages. Designed for efficient on-device or local-server transcription tasks.
Qwen3 ASR 0.6B is a Foundation models & chat project. It focuses on converting spoken audio in multiple languages into text using a small, locally runnable quantized ASR model. Qwen3 ASR 0.6B is an open-source project aimed at developers. The project is open source (Open Source). It ships for the web, the command line, and API.
Behind Qwen3 ASR 0.6B is aufklarer, and it first shipped in 2026. PulseGate's similarity index places it among 5 comparable projects. Among its 4 catalogued features are Speech Recognition, Multilingual ASR, and MLX Optimized. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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