4-bit Open on Hugging Face
Parameters
561M
Weights (est.)
≈ 454 MB
Mac memory (est.)
8 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/GOT-OCR2_0-4bit --image photo.jpg --prompt "Describe this image"
Details
- Base model
- stepfun-ai/GOT-OCR2_0 (quantized)
- Vendor
- stepfun-ai
- Task
- Vision + text
- Quantisation
- 4-bit
- Licence
- apache-2.0
- Downloads
- 376 in the last 30 days · 606 all time · 0 likes
- Published
- 2026-08-14 · updated 2026-08-14 (2mo ago)
- Languages
- multilingual
- Tags
- GOT, ocr2.0, vision-language, custom_code
Other MLX builds of stepfun-ai/GOT-OCR2_0
| Build | Quantisation | Weights | Mac memory | Downloads |
|---|---|---|---|---|
| GOT-OCR2_0-4bit (this one) | 4-bit | ≈ 454 MB | 8 GB+ | 376 |
| GOT-OCR2_0-8bit | 8-bit | ≈ 686 MB | 8 GB+ | 64 |
| GOT-OCR2_0-bf16 | bf16 | ≈ 1.1 GB | 8 GB+ | 60 |