All tasks / Models
dots.mocr
Open-weights 3B vision-language model (MIT) for multilingual document parsing; dots.mocr (2026) followed dots.ocr (2025).
- rednote hi lab (dots studio)
- Open weights
- Released 19 Mar 2026
Where it ranks
- –Documents & OCRModels · Local · no result on this task’s benchmarks yet
Facts
- Vendor
- rednote hi lab (dots studio)
- Family
- dots.ocr
- Released
- 19 Mar 2026
- Weights
- Open: download and run it yourself
- License
- MIT
- Parameters
- 3.04B
- GPU memory to run locally
- ~8 GB (Estimate, no official figure: BF16 weights ≈ 3.04 B × 2 GB + ~1.5 GB runtime overhead.)
- Access
- Free (open weights)
- Last verified
- 18 Oct 2026
Price from huggingface.co, 18 Oct 2026.
Benchmark results
| Benchmark | Result | Entry on the leaderboard | As of | Source |
|---|---|---|---|---|
| MDPBench (multilingual document parsing) | 80.5% | dots.mocrOverall (public split, page-level mean of text, formula and table scores) from the board's leaderboard.json (updated 2026-10-04). | 4 Oct 2026 | huggingface.co |
| ParseBench (models) | 55.8% | Dots.mocrOverall (mean of tables, charts, content faithfulness, semantic formatting, visual grounding) from leaderboard.csv in the ParseBench repo (last leaderboard commit 2026-10-09). | 9 Oct 2026 | github.com |
Where you can use it
No tracked tool lists this model yet; as open weights it runs in local runtimes.
Earlier versions
- dots.ocr · 30 Jul 2025