bf16 Open on Hugging Face
Parameters
3.0B
Weights (est.)
≈ 6.1 GB
Mac memory (est.)
16 GB+
Size is estimated from the parameter count and quantisation. Memory allows a fifth extra for context plus 2 GB for the system; long contexts need more.
Run it
With mlx-vlm on an Apple silicon Mac:
pip install mlx-vlmpython -m mlx_vlm.generate --model mlx-community/dots.mocr-bf16 --image photo.jpg --prompt "Describe this image"
Details
- Base model
- rednote-hilab/dots.mocr (finetune)
- Vendor
- rednote-hilab
- Task
- Vision + text
- Quantisation
- bf16
- Licence
- mit
- Downloads
- 160 in the last 30 days · 1.5K all time · 4 likes
- Published
- 2026-03-28 · updated 2026-04-03 (7mo ago)
- Languages
- en, zh, multilingual
- Tags
- dots_ocr, text-generation, image-to-text, document-parse, layout, table, formula, custom_code, eval-results