MLX Community · First MLX build 29 Jan 2026
Qwen3-ASR-0.6B
MLX
apache-2.0 Trending
A 782M parameter model, with 5 MLX builds, from 4-bit to bf16.
- Parameters
- 782M From Hugging Face
- Quantisation
- 8-bit Qwen3-ASR-0.6B-8bit
- Memory needed
- 4 GB Estimate, unified memory
- Download
- 1.0 GB Weights, estimated
- Downloads
- 174K This build, last 30 days
- Task
- —
- MLX builds
- 5 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 4 GB at 8-bit
8 GB
16 GB
24 GB
32 GB
64 GB
128 GB
Fits with headroomTight, close other appsWon’t fit
Estimated from the size of the weights, plus a fifth for context and working memory and 2 GB for macOS and your apps. Long contexts need more.
Run it
Terminal · Hugging Face CLI$ pip install -U huggingface_hub
$ hf download mlx-community/Qwen3-ASR-0.6B-8bitMLX builds
5 on mlx-community| Qwen3-ASR-0.6B-4bit | 4-bit | 708 MB | 3 GB | 4.2K |
|---|---|---|---|---|
| Qwen3-ASR-0.6B-5bit | 5-bit | 783 MB | 3 GB | 104 |
| Qwen3-ASR-0.6B-6bit | 6-bit | 857 MB | 3 GB | 226 |
| Qwen3-ASR-0.6B-8bit | 8-bit | 1.0 GB | 4 GB | 174K |
| Qwen3-ASR-0.6B-bf16 | bf16 | 1.6 GB | 4 GB | 703 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.