Baidu releases OCR model for hundred-page documents
MarkTechPost: Baidu Open-Sources Unlimited OCR 2 for Hundred-Page Document Parsing
Baidu has released Unlimited OCR 2, an open-source OCR model built for very long documents. The 3B model parses books, filings and reports of hundreds of pages in one request. Its core change is SR-SWA, a sparse attention scheme that keeps per-step decoding cost nearly flat. Weights ship under the MIT license, with code on GitHub. TL;DR Size: 3.34B parameters. Active parameters not disclosed. Max position length 131,072 tokens. Runs on: 1 CUDA GPU in BF16. Baidu tested on an NVIDIA A8
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An open-source OCR model has been released that can parse very long documents of hundreds of pages in a single request. The model uses a technique called SR-SWA that compresses attention into a fixed set of working references, keeping processing cost nearly constant as documents grow longer rather than increasing dramatically. The model scores significantly higher on benchmarks testing hundred-page documents compared to other available models, though it performs less consistently on tasks like heading hierarchy detection. All benchmark scores reported are self-reported by the developer.
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