MLX Community · First MLX build 26 Jan 2026
LightOnOCR-2-1B
MLX
TextVision apache-2.0
A 1B parameter vision and text model, with 3 MLX builds, from 4-bit to bf16.
- Parameters
- 1B From Hugging Face
- Quantisation
- bf16 LightOnOCR-2-1B-bf16
- Memory needed
- 5 GB Estimate, unified memory
- Download
- 2.0 GB Weights, estimated
- Downloads
- 279 This build, last 30 days
- Task
- Vision and text Text, Vision
- MLX builds
- 3 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 5 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/LightOnOCR-2-1B-bf16 --image photo.jpg --prompt "Describe this image"MLX builds
3 on mlx-community| LightOnOCR-2-1B-4bit | 4-bit | 1.1 GB | 4 GB | 141 |
|---|---|---|---|---|
| LightOnOCR-2-1B-8bit | 8-bit | 1.4 GB | 4 GB | 114 |
| LightOnOCR-2-1B-bf16 | bf16 | 2.0 GB | 5 GB | 279 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.