MODEL PROFILE

tibetan-ocr

BDRC · tibetan-ocr

**A vision-first OCR model for Tibetan pecha** — modern publications, woodblock prints, and manuscripts (uchen and u-med), including pecha layout and orthographic shorthands. Built by the Buddhist Digital Resource Center (BDRC) and trained on the `bec_mixed_elie_v8` mix of curated real + synthetic pages, with the **evaluation-benchmark pages held out of training**. - **Repository:** `BDRC/tibetan-ocr` (display name **Yigdzin 1**) - **Base model:** `PaddlePaddle/PaddleOCR-VL-1.6` (Apache-2.0) - **Live demo:** ocr.bdrc.io · **Desktop app:** buda-base/tibetan-ocr-app On a 1,070-page hand-transcribed benchmark (production serving: vLLM + sequential regime + DRY guard + temperature-retry), **median page CER is ~1.4%** and clean-page (non-catastrophic) mean CER is **~4.0%**, with **0 hard repetition loops**. The benchmark pages are held out of training. It is a *specialized* OCR model, not a general chat VLM.

Visual QAlicense:apache-2.0
Context windowNot disclosed
Input → OutputText、Image → Text
Model weightsNot verified
Profile updated2026/10/29 21:23:25
OVERVIEW

Model overview

**A vision-first OCR model for Tibetan pecha** — modern publications, woodblock prints, and manuscripts (uchen and u-med), including pecha layout and orthographic shorthands. Built by the Buddhist Digital Resource Center (BDRC) and trained on the `bec_mixed_elie_v8` mix of curated real + synthetic pages, with the **evaluation-benchmark pages held out of training**. - **Repository:** `BDRC/tibetan-ocr` (display name **Yigdzin 1**) - **Base model:** `PaddlePaddle/PaddleOCR-VL-1.6` (Apache-2.0) - **Live demo:** ocr.bdrc.io · **Desktop app:** buda-base/tibetan-ocr-app On a 1,070-page hand-transcribed benchmark (production serving: vLLM + sequential regime + DRY guard + temperature-retry), **median page CER is ~1.4%** and clean-page (non-catastrophic) mean CER is **~4.0%**, with **0 hard repetition loops**. The benchmark pages are held out of training. It is a *specialized* OCR model, not a general chat VLM.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

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PRICING & COST

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

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Frequently asked questions

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Sources & traceability

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。