davanstrien+1: Claude Opus 4.6 (1M context)HF Staff
2f39cf8
Layout mode is currently broken upstream so highlighting plain mode
strengths instead: smallest in collection, #1 on multi-column docs
and tables in olmOCR benchmark.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
davanstrien+1: Claude Opus 4.6 (1M context)HF Staff
173e9b8
New OCR script using tiiuae/Falcon-OCR with the optimized falcon-perception
inference engine (CUDA graphs + batched paged inference). Achieves 0.31 img/s
on L4, 0.53 img/s on L40S. Supports plain OCR and layout-aware extraction.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
davanstrien+1: Claude Opus 4.6 (1M context)HF Staff
dafc1a9
- dots.mocr is the official final name for what was dots.ocr-1.5
- Model now on HF directly: rednote-hilab/dots.mocr (no ModelScope mirror needed)
- Added SVG prompt mode (--prompt-mode svg) with auto temperature/top_p
- SVG-optimized variant: rednote-hilab/dots.mocr-svg
- Updated README with new model entry and detailed docs
- Tested: OCR mode 3/3 on L4, SVG mode 3/3 on L4
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Fix dots-ocr-1.5.py for v1.5 model + document bbox coords
davanstrien+1: Claude Opus 4.6 (1M context)HF Staff
37431e4
- Add chat_template_content_format="string" to llm.chat() (required for
dots.ocr-1.5 which uses a string-only tokenizer chat template)
- Document bbox coordinate system (Qwen2VL smart_resize) in script and CLAUDE.md
- Fix README table link to point to davanstrien/dots.ocr-1.5 mirror
- Add full dots.ocr-1.5 section to CLAUDE.md with test results and usage notes
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- New firered-ocr.py using llm.chat() pattern from dots-ocr.py
- Model: FireRedTeam/FireRed-OCR (Apache 2.0)
- Tested: 10/10 on ufo-ColPali, L4 GPU, ~4.7 min
- Stable vLLM (>=0.15.1), no nightly needed
- README: added to model table and per-model docs
Restructure README: cleaner intro, TOC table, common options
- Punchier intro with model count (13 models, 0.9B-8B)
- Quick start example switched to GLM-OCR
- Added collapsible TOC table with all scripts sorted by model size
- Moved common options section up with --help tip
- Added GLM-OCR usage example (OCR, table, formula modes)
- Collapsed detailed per-model docs into expandable section
- Stripped most emoji from headings
- Fixed stale PaddleOCR SOTA claim (GLM-OCR now scores higher)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Standardizing metadata tags across uv-scripts organization
for better discoverability of HF Jobs-compatible scripts.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Add LightOnOCR as first script in README with recommendation to test
first since it's small and fast.
Features highlighted:
- Fastest OCR option (5.71 pages/sec on H100, 6.25 images/sec on A100)
- Compact 1B parameters for quick downloads
- 3 vocabulary sizes (151k/32k/16k) with European language optimization
- LaTeX formulas and table extraction
- Production-ready with 76.1% benchmark score
Includes quick start examples:
- L4 test run with 100 samples
- A100 production run with batch_size=4096
Positioning LightOnOCR as the recommended starting point for users
new to the OCR scripts due to fast initialization and excellent
speed/quality balance.
🤖 Generated with Claude Code
Co-Authored-By: Claude <noreply@anthropic.com>
