numind · First MLX build 14 Apr 2026
NuExtract-2.0-8B
MLX
TextVision mit
A 8.3B parameter vision and text model from numind, with one MLX build.
- Parameters
- 8.3B From Hugging Face
- Quantisation
- Unstated numind-NuExtract-2.0-8B-MLX
- Memory needed
- 21 GB Estimate, unified memory
- Download
- 16.6 GB Weights, estimated
- Downloads
- 37 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 21 GB at Unstated
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/numind-NuExtract-2.0-8B-MLX --image photo.jpg --prompt "Describe this image"MLX builds
1 on mlx-community| numind-NuExtract-2.0-8B-MLX | Unstated | 16.6 GB | 21 GB | 37 |
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Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.