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LatestBaidu2
BaiduVision-Language

Baidu releases Unlimited-OCR 2 under MIT license

The multilingual vision-language model targets document text recognition and ships with a permissive license for commercial use.

Oct 26, 2026
NotableMIT
Unlimited-OCR 2

Baidu has published Unlimited-OCR 2, a vision-language model aimed at optical character recognition, on Hugging Face. The model is released under the MIT license, one of the most permissive options available, which clears the way for both research and commercial deployment without the usage restrictions attached to many other open releases.

As a vision-language model built for OCR, Unlimited-OCR 2 is designed to read text from images rather than generate open-ended conversation. Baidu describes the model as multilingual, suggesting it targets document understanding across more than one writing system — a practical requirement for enterprises processing invoices, forms, and scanned archives in mixed-language environments.

Why it matters

OCR has become a quiet but critical layer in modern AI pipelines, feeding clean text into retrieval systems, translation tools, and document agents. A few points stand out:

  • The MIT license removes friction for teams that need to fine-tune or embed the model in products.
  • A multilingual focus broadens its usefulness beyond English-centric document workflows.
  • Baidu's continued output of open models adds another option alongside the growing field of open OCR and document-parsing systems.

Baidu has not published detailed specifications such as parameter count or context length alongside this release, so teams evaluating the model will want to benchmark it against their own document sets. The weights and model card are available now on Hugging Face.

Sources

  • baidu/Unlimited-OCR-2

    Hugging Face

    Visit
OlderNanbeige 4.3 Arrives as a 33B Bilingual ModelNanbeige · Text / LLM · 3 days ago

Get the model

Hugging Face

Specs

Context window131K tokens
Size6.7 GB
PrecisionBF16
ArchitectureUnlimitedOCRForCausalLM
LicenseMIT
Downloads513
Likes155

Can you run it?

Runs on just about anything.

  • BF16 (as published)

    12 GB GPU (RTX 3060 / 4070) · 16 GB Mac

    8.2 GB
  • 8-bit

    8 GB GPU (RTX 4060) · 16 GB laptop or Mac

    5 GB
  • 4-bit

    Any modern laptop · 8 GB RAM

    3.5 GB
Your machine
GGUF builds
  • KV cache sized for 8,192 tokens of context; longer prompts need proportionally more.

Based on Hugging Face weights metadata. Assumes an 8K context and ~1 GB runtime overhead; actual needs vary. How we estimate


Modalities

Vision-Language

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