Qwen3-ASR 0.6B: Core ML encoder
This repository contains the optional Apple Silicon encoder for Qwen3-ASR 0.6B (Q8_0) in
Glimpse. It is a companion to
Handy's Q8_0 GGUF, not a
replacement for it: the GGUF still provides the decoder, tokenizer and model metadata, and
this package moves the audio encoder onto Core ML.
| File |
Download size |
Purpose |
Qwen3-ASR-0.6B-Q8_0-encoder.mlmodelc.zip |
340.3 MB |
Compiled Core ML encoder |
On Windows, Intel Macs, or anywhere without Core ML, use the GGUF on its own. The Core ML
package requires Apple Silicon.
Provenance
The model originates from Qwen3-ASR 0.6B,
licensed Apache 2.0. The encoder was converted from Handy's Qwen3-ASR-0.6B-Q8_0.gguf with
transcribe.cpp's scripts/convert-qwen3-asr-gguf-to-coreml.py, then zipped with
ditto -c -k --keepParent.
| Artifact |
SHA-256 |
| Source GGUF |
f081b2d5e23bd669d92cc331d722a8a0681943b8e6f34b48996fd5c319b5acd8 |
| Encoder ZIP |
cfd2e37a30d0da1b685da0f96e82f05ef6fc208136c85efa5368ddd2ee18ad5d |
Runtime requirements
Extract the ZIP next to the GGUF, keeping the Qwen3-ASR-0.6B-Q8_0-encoder.mlmodelc
directory name. Glimpse-Speech looks for the companion beside the GGUF and falls back to the
GGUF's own encoder when it isn't there.
The encoder holds up to 15 seconds of audio. Glimpse splits longer recordings into chunks.
Qwen3-ASR is an experimental model in Glimpse. Core ML may run some operations on the CPU;
this is not a guarantee of exclusive Neural Engine execution.
Glimpse
This encoder speeds up on-device dictation on Apple Silicon in Glimpse,
a free, open-source dictation app for Mac and Windows. The source is on
GitHub.
