Model card
MonkeyOCR-pro-3B.
Unknownopen-source3B paramsVision-Language Model
Compact model with good performance
§ 02 · Benchmarks
Every benchmark MonkeyOCR-pro-3B has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | OmniDocBench | Computer Vision · Document Parsing | accuracy | 88.8% | #8 | — | source ↗ |
| 02 | OmniDocBench | Computer Vision · Document Parsing | composite | 88.8% | #11 | — | source ↗ |
| 03 | olmOCR-Bench | Computer Vision · Document Parsing | pass-rate | 75.8% | #14 | — | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Strengths by area
Where MonkeyOCR-pro-3B actually performs.
§ 04 · Papers
1 paper with results for MonkeyOCR-pro-3B.
§ 05 · Related models
Other Unknown models scored on Codesota.
fglihai
Unknown params · 6 results · 1 SOTA
CLIP4STR-L
Unknown params · 1 result · 1 SOTA
USYD NLP_CS29-2
Unknown params · 6 results
Corner-based Region Proposals
Unknown params · 3 results
EAST + VGG16
Unknown params · 3 results
SSTD
Unknown params · 3 results
TextBoxes++_MS
Unknown params · 3 results
WordSup (VGG16-synth-coco)
Unknown params · 3 results
§ 06 · Sources & freshness
Where these numbers come from.
pwc-dump
1
result
AlphaXiv
1
result
paper
1
result
0 of 3 rows marked verified.