MLX Community · First MLX build 28 Jun 2025
Gabliterated-Qwen3-0.6B
MLX
Text apache-2.0
A 596M parameter text generation model, with 4 MLX builds, from 4-bit to 8-bit.
- Parameters
- 596M From Hugging Face
- Quantisation
- 4-bit Gabliterated-Qwen3-0.6B-4bit
- Memory needed
- 3 GB Estimate, unified memory
- Download
- 335 MB Weights, estimated
- Downloads
- 30 This build, last 30 days
- Task
- Text generation Text
- MLX builds
- 4 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 3 GB at 4-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 · mlx-lm$ pip install -U mlx-lm
$ mlx_lm.generate --model mlx-community/Gabliterated-Qwen3-0.6B-4bit --prompt "Hello"MLX builds
4 on mlx-community| Gabliterated-Qwen3-0.6B-4bit | 4-bit | 335 MB | 3 GB | 30 |
|---|---|---|---|---|
| Gabliterated-Qwen3-0.6B-6bit | 6-bit | 484 MB | 3 GB | 20 |
| Gabliterated-Qwen3-0.6B-8bit | 8-bit | 633 MB | 3 GB | 20 |
| Gabliterated-Qwen3-0.6B | Unstated | 1.2 GB | 4 GB | 22 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.