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Model Detail

ATH-MaaS logo

OvisOCR2

—
Provider: ATH-MaaSCategory: multimodalPipeline: image-text-to-textParameters: 0.8B
DB Score
38.1
Downloads
140K
Likes
450
Day
+0.0%
Week
+0.0%
Month
+221.7%
Overview

OvisOCR2 is a multimodal model with 0.8B parameters released by ATH-MaaS. The model is registered under the image-text-to-text pipeline tag on Hugging Face, distributed under the permissive apache-2.0 license.

Technical

OvisOCR2 ships with 0.8B parameters. The apache-2.0 license is permissive, allowing commercial deployment and derivative work without per-seat fees, though attribution requirements still apply.

Trending Signal

Downloads of OvisOCR2 have moved +221.7% over the trailing thirty days. That is a slight downtrend, consistent with normal cooling as newer models compete for the same workloads. These numbers are signal, not guarantee — week-over-week download counts on Hugging Face also reflect mirror traffic, CI scrapes, and one-off benchmarking runs.

Read about databubble_score →
Use Cases

OvisOCR2 is best fit for mixed text-and-image reasoning tasks such as document understanding. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.

Download History
Research Paper
arXiv: 2607.13639→
Model Info
Licenseapache-2.0
Citations1 (0 influential)
Recent newsView all news →
Related News
arxivneutral51d ago

OvisOCR2 Technical Report

arXiv:2607.13639v1 Announce Type: cross Abstract: We introduce OvisOCR2, a 0.8B document parsing model. OvisOCR2 is designed as an end-to-end parser: given a document page image, it generates a Markdown representation in natural reading order, covering text, formulas, tables, and visual regions. We

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