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MonkeyOCRv2-B-Parsing

Open-weights multilingual document-parsing model from the MonkeyOCR team, with CPU support and RAGFlow integration.

  • zenosai (MonkeyOCR team)
  • Open weights
  • Released 14 Jul 2026

Official page

Where it ranks

  • –
    Documents & OCR
    Models · Local · no result on this task’s benchmarks yet

Facts

Vendor
zenosai (MonkeyOCR team)
Family
MonkeyOCR
Released
14 Jul 2026
Weights
Open: download and run it yourself
License
Apache-2.0
Parameters
0.88B
GPU memory to run locally
~3 GB (Estimate, no official figure: BF16 weights ≈ 0.88 B × 2 GB + ~1.5 GB runtime overhead. Size is the Hugging Face safetensors total.)
Access
Free (open weights)
Last verified
19 Oct 2026

Price from huggingface.co, 19 Oct 2026.

Benchmark results

BenchmarkResultEntry on the leaderboardAs ofSource
MDPBench (multilingual document parsing)83.3%MonkeyOCRv2-B-Parsing
Overall (public split, page-level mean of text, formula and table scores) from the board's leaderboard.json (updated 2026-10-04). Best of two sizes (S-Parsing 82.5). MDPBench is maintained by the same research group as MonkeyOCR.
4 Oct 2026huggingface.co

Where you can use it

No tracked tool lists this model yet; as open weights it runs in local runtimes.

Earlier versions

  • MonkeyOCR-pro-3B · —

Sources