rednote-hilab · First MLX build 28 Mar 2026
dots.mocr
MLX
TextVision mit
A 3B parameter vision and text model from rednote-hilab, with one MLX build at bf16.
- Parameters
- 3B From Hugging Face
- Quantisation
- bf16 dots.mocr-bf16
- Memory needed
- 9 GB Estimate, unified memory
- Download
- 6.1 GB Weights, estimated
- Downloads
- 159 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 9 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/dots.mocr-bf16 --image photo.jpg --prompt "Describe this image"MLX builds
1 on mlx-community| dots.mocr-bf16 | bf16 | 6.1 GB | 9 GB | 159 |
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Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.