Jackrong · First MLX build 5 Apr 2026
Qwopus3.5-9B-v3
MLX
TextVision apache-2.0
A 9.4B parameter vision and text model from Jackrong, with one MLX build at 4-bit.
- Parameters
- 9.4B From Hugging Face
- Quantisation
- 4-bit Qwopus3.5-9B-v3-4bit
- Memory needed
- 9 GB Estimate, unified memory
- Download
- 6.0 GB Weights, estimated
- Downloads
- 46 This build, last 30 days
- Task
- Vision and text Text, Vision
- MLX builds
- 1 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 9 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-vlm$ pip install -U mlx-vlm
$ python -m mlx_vlm.generate --model mlx-community/Qwopus3.5-9B-v3-4bit --image photo.jpg --prompt "Describe this image"MLX builds
1 on mlx-community| Qwopus3.5-9B-v3-4bit | 4-bit | 6.0 GB | 9 GB | 46 |
|---|
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.