MLX Community · First MLX build 29 Jan 2026
PaddleOCR-VL-1.5
MLX
TextVision apache-2.0
A 906M parameter vision and text model, with 5 MLX builds, from 4-bit to bf16.
- Parameters
- 906M From Hugging Face
- Quantisation
- 4-bit PaddleOCR-VL-1.5-4bit
- Memory needed
- 3 GB Estimate, unified memory
- Download
- 703 MB Weights, estimated
- Downloads
- 2.3K This build, last 30 days
- Task
- Vision and text Text, Vision
- MLX builds
- 5 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 3 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/PaddleOCR-VL-1.5-4bit --image photo.jpg --prompt "Describe this image"MLX builds
5 on mlx-community| PaddleOCR-VL-1.5-4bit | 4-bit | 703 MB | 3 GB | 2.3K |
|---|---|---|---|---|
| PaddleOCR-VL-1.5-5bit | 5-bit | 800 MB | 3 GB | 15 |
| PaddleOCR-VL-1.5-6bit | 6-bit | 896 MB | 4 GB | 27 |
| PaddleOCR-VL-1.5-8bit | 8-bit | 1.1 GB | 4 GB | 984 |
| PaddleOCR-VL-1.5-bf16 | bf16 | 1.8 GB | 5 GB | 1.0K |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.