Jackrong · First MLX build 22 Sept 2026
Qwopus3.8-27B-Flash-V2
MLX
TextVision apache-2.0
A 27B parameter vision and text model from Jackrong, with 4 MLX builds, from 4-bit to bf16.
- Parameters
- 27B From Hugging Face
- Quantisation
- 4-bit Qwopus3.8-27B-Flash-V2-4bit
- Memory needed
- 20 GB Estimate, unified memory
- Download
- 16.1 GB Weights, estimated
- Downloads
- 211 This build, last 30 days
- Task
- Vision and text Text, Vision
- MLX builds
- 4 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 20 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/Qwopus3.8-27B-Flash-V2-4bit --image photo.jpg --prompt "Describe this image"MLX builds
4 on mlx-community| Qwopus3.8-27B-Flash-V2-4bit | 4-bit | 16.1 GB | 20 GB | 211 |
|---|---|---|---|---|
| Qwopus3.8-27B-Flash-V2-6bit | 6-bit | 22.8 GB | 28 GB | 176 |
| Qwopus3.8-27B-Flash-V2-8bit | 8-bit | 29.5 GB | 35 GB | 182 |
| Qwopus3.8-27B-Flash-V2-bf16 | bf16 | 54.7 GB | 64 GB | 149 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.