MLX Community · First MLX build 18 Jun 2025
Nanonets-OCR-s
MLX
TextVision
A 3.8B parameter vision and text model, with 4 MLX builds, from 4-bit to bf16.
- Parameters
- 3.8B From Hugging Face
- Quantisation
- bf16 Nanonets-OCR-s-bf16
- Memory needed
- 11 GB Estimate, unified memory
- Download
- 7.5 GB Weights, estimated
- Downloads
- 74 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 11 GB at bf16
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/Nanonets-OCR-s-bf16 --image photo.jpg --prompt "Describe this image"MLX builds
4 on mlx-community| Nanonets-OCR-s-4bit | 4-bit | 3.1 GB | 6 GB | 33 |
|---|---|---|---|---|
| Nanonets-OCR-s-6bit | 6-bit | 3.8 GB | 7 GB | 20 |
| Nanonets-OCR-s-8bit | 8-bit | 4.6 GB | 8 GB | 22 |
| Nanonets-OCR-s-bf16 | bf16 | 7.5 GB | 11 GB | 74 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.