OCR models / Reducto
RolmOCR
Reducto · released 2025-04-02 · data checked 2026-11-06
RolmOCR is a 8.3B-parameter OCR and document-parsing model from Reducto (US), released 2025-04-02 under the Apache-2.0 license. It has no published score on OmniDocBench v1.6 or olmOCR-Bench yet. It needs about 17.6 GB of memory at 16-bit.
Qwen2.5-VL 7B fine-tuned on the olmOCR training data; a faster alternative to the first olmOCR. No published benchmark scores.
OmniDocBench v1.6
—
Not reported
olmOCR-Bench
—
Not reported
Parameters
8.3B
OCR specialist
Memory to run
~17.6 GB
16-bit weights plus about 1 GB
Benchmarks
No published score on these benchmarks yet. Know of one? Send it.
Specifications
- Lab
- Reducto (US)
- Type
- OCR / document parsing specialist
- Total parameters
- 8.3B
- License
- Apache-2.0
- Memory to run
- ~17.6 GB at 16-bit
- Released
- 2025-04-02
Closest alternatives
- OXR 1.0 (1.5B, 97.03 on OmniDocBench, OXR Open Source License)
- Youtu-Parsing-Omni (5.3B, 96.96 on OmniDocBench, Youtu-Parsing license)
- TeleOCR (1.4B, 96.91 on OmniDocBench, Apache-2.0)
- Xiaomi-OCR-0 (870M, 96.83 on OmniDocBench, Apache-2.0)
Sources
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