MLX Community · First MLX build 1 Jun 2025
Jedi-7B-1080p
MLX
TextVision apache-2.0
A 8.3B parameter vision and text model, with 4 MLX builds, from 4-bit to 8-bit.
- Parameters
- 8.3B From Hugging Face
- Quantisation
- 6-bit Jedi-7B-1080p-6bit
- Memory needed
- — GB Estimate, unified memory
- Download
- — Weights, estimated
- Downloads
- 24 This build, last 30 days
- Task
- Vision and text Text, Vision
- MLX builds
- 4 On mlx-community
- Devices
- Mac Apple silicon
Memory
Hugging Face does not list a weights size for this build, so there is no memory estimate.
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/Jedi-7B-1080p-6bit --image photo.jpg --prompt "Describe this image"MLX builds
4 on mlx-community| Jedi-7B-1080p-4bit | 4-bit | 4.9 GB | 8 GB | 21 |
|---|---|---|---|---|
| Jedi-7B-1080p-bf16 | bf16 | 16.6 GB | 21 GB | 17 |
| Jedi-7B-1080p-6bit | 6-bit | — | — | 24 |
| Jedi-7B-1080p-8bit | 8-bit | — | — | 14 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.