| { |
| "_meta": { |
| "description": "Machine-readable catalog of the OCR recipes in this directory: script -> model, params, backend, support level, the tested Jobs launch config (the script's [tool.hf-jobs] header), and what the model's own card claims about language coverage. Human-readable language notes: LANGUAGES.md. Language evidence levels, strongest first: per-language-benchmark | count-claim | named-list | multilingual-unspecified | english-only | not-stated | not-applicable. Claims come from model cards (compiled 2026-07-15) - treat as claims, not guarantees.", |
| "updated": "2026-09-24", |
| "run_pattern": "hf jobs uv run https://huggingface.co/datasets/uv-scripts/ocr/raw/main/<script> <input-dataset> <output-dataset> (hf CLI >= 1.32 reads image/flavor/secrets from the script's [tool.hf-jobs] header; add --timeout for long runs. Scripts without a `jobs` entry need --flavor/-s HF_TOKEN (and any --image in their docstring).)", |
| "support_levels": { |
| "core": "Maintained. Smoke-tested flagless on HF Jobs on 2026-09-23/24 with the pinned launch config in `jobs`.", |
| "tool": "Maintained companion (judge, layout, text extraction), not a page-OCR recipe.", |
| "legacy": "Works (smoke-tested 2026-09-23) but superseded or little used; no header yet. See support_note for the alternative.", |
| "unsupported": "Known broken as of 2026-09-23; kept in the repo for now. See support_note." |
| } |
| }, |
| "tesseract-ocr.py": { |
| "model_id": null, |
| "model_name": "Tesseract 5", |
| "params": null, |
| "backend": "pytesseract (CPU)", |
| "task": "ocr", |
| "output": "plain text", |
| "license": "apache-2.0", |
| "languages": { |
| "evidence": "named-list", |
| "count": "125 traineddata packs (~100+ languages + script models)", |
| "list_url": "https://github.com/tesseract-ocr/tessdata_best", |
| "notes": "Broadest named coverage; script models (Latin, Cyrillic, Devanagari, ...) cover languages without a dedicated pack. Legacy baseline quality." |
| }, |
| "support": "core", |
| "jobs": { |
| "flavor": "cpu-upgrade", |
| "secrets": [ |
| "HF_TOKEN" |
| ] |
| } |
| }, |
| "pp-ocrv6.py": { |
| "model_id": "PaddlePaddle/PP-OCRv6", |
| "params": "1.5M-34.5M", |
| "backend": "paddleocr", |
| "task": "ocr", |
| "output": "plain text", |
| "license": "apache-2.0", |
| "languages": { |
| "evidence": "count-claim", |
| "count": 48 |
| }, |
| "support": "core", |
| "jobs": { |
| "flavor": "t4-small", |
| "secrets": [ |
| "HF_TOKEN" |
| ] |
| } |
| }, |
| "falcon-ocr.py": { |
| "model_id": "tiiuae/Falcon-OCR", |
| "params": "0.3B", |
| "backend": "falcon-perception", |
| "task": "ocr", |
| "output": "markdown", |
| "license": "apache-2.0", |
| "languages": { |
| "evidence": "not-stated" |
| }, |
| "support": "legacy", |
| "support_note": "Falcon-OCR v1; v1.5 work is in PR #110." |
| }, |
| "smoldocling-ocr.py": { |
| "model_id": "ds4sd/SmolDocling-256M-preview", |
| "params": "256M", |
| "backend": "transformers", |
| "task": "ocr", |
| "output": "DocTags", |
| "languages": { |
| "evidence": "english-only" |
| }, |
| "support": "unsupported", |
| "support_note": "Broken (2026-09-23): the DocTags-to-markdown converter is a stub, so rows are raw DocTags." |
| }, |
| "surya-ocr.py": { |
| "model_id": "datalab-to/surya-ocr-2", |
| "params": "0.65B", |
| "backend": "vllm", |
| "image": "vllm/vllm-openai:v0.20.1", |
| "task": "ocr | layout | table", |
| "output": "markdown + surya_blocks (per-block HTML, bboxes, reading order)", |
| "license": "modified OpenRAIL-M", |
| "languages": { |
| "evidence": "per-language-benchmark", |
| "count": 91, |
| "benchmark_url": "https://github.com/datalab-to/surya/blob/master/static/docs/multilingual.md", |
| "notes": "38/91 languages score >=90%, 76/91 >=80%; weakest of top-15: Arabic 72.7%, Vietnamese 73.2%." |
| }, |
| "support": "core", |
| "jobs": { |
| "image": "vllm/vllm-openai:v0.20.1", |
| "python": "/usr/local/bin/python3", |
| "env": { |
| "PYTHONPATH": "/usr/local/lib/python3.12/site-packages" |
| }, |
| "flavor": "a10g-small", |
| "secrets": [ |
| "HF_TOKEN" |
| ] |
| } |
| }, |
| "glm-ocr.py": { |
| "model_id": "zai-org/GLM-OCR", |
| "params": "0.9B", |
| "backend": "vllm", |
| "task": "ocr", |
| "output": "markdown", |
| "languages": { |
| "evidence": "named-list", |
| "count": 8, |
| "named": [ |
| "zh", |
| "en", |
| "fr", |
| "es", |
| "ru", |
| "de", |
| "ja", |
| "ko" |
| ], |
| "notes": "Declared in card metadata only; no per-language evidence in the card body." |
| }, |
| "support": "core", |
| "jobs": { |
| "image": "vllm/vllm-openai:v0.29.0", |
| "python": "/usr/bin/python3", |
| "env": { |
| "PYTHONPATH": "/usr/local/lib/python3.12/dist-packages" |
| }, |
| "flavor": "a10g-small", |
| "secrets": [ |
| "HF_TOKEN" |
| ] |
| }, |
| "image": "vllm/vllm-openai:v0.29.0" |
| }, |
| "paddleocr-vl.py": { |
| "model_id": "PaddlePaddle/PaddleOCR-VL", |
| "params": "0.9B", |
| "backend": "vllm", |
| "task": "ocr | table | formula | chart", |
| "output": "markdown", |
| "languages": { |
| "evidence": "count-claim", |
| "count": 109, |
| "notes": "Names scripts (Cyrillic, Arabic, Devanagari, Thai); claims handwriting + historical documents; no per-language numbers." |
| }, |
| "support": "legacy", |
| "support_note": "PaddleOCR-VL 1.0; use paddleocr-vl-1.6.py." |
| }, |
| "paddleocr-vl-1.5.py": { |
| "model_id": "PaddlePaddle/PaddleOCR-VL-1.5", |
| "params": "0.9B", |
| "backend": "transformers", |
| "task": "ocr (6 modes)", |
| "output": "markdown", |
| "languages": { |
| "evidence": "count-claim", |
| "count": "109+ (adds Tibetan, Bengali)", |
| "notes": "Claims improved rare-character and ancient-text recognition." |
| }, |
| "support": "unsupported", |
| "support_note": "Broken (2026-09-23): every row is an [OCR ERROR] ('min_pixels' attribute removed in transformers 5). Use paddleocr-vl-1.6.py." |
| }, |
| "paddleocr-vl-1.6.py": { |
| "model_id": "PaddlePaddle/PaddleOCR-VL-1.6", |
| "params": "0.9B", |
| "backend": "vllm", |
| "task": "ocr", |
| "output": "markdown", |
| "languages": { |
| "evidence": "count-claim", |
| "count": "109+ (inherited from 1.5, not restated)", |
| "notes": "Upgrade-focused card; language-specific claims are Chinese ancient documents and rare characters." |
| }, |
| "support": "core", |
| "jobs": { |
| "image": "vllm/vllm-openai:v0.29.0", |
| "python": "/usr/bin/python3", |
| "env": { |
| "PYTHONPATH": "/usr/local/lib/python3.12/dist-packages" |
| }, |
| "flavor": "a10g-small", |
| "secrets": [ |
| "HF_TOKEN" |
| ] |
| }, |
| "image": "vllm/vllm-openai:v0.29.0" |
| }, |
| "ovis-ocr2.py": { |
| "model_id": "ATH-MaaS/OvisOCR2", |
| "params": "0.9B", |
| "backend": "vllm", |
| "task": "ocr", |
| "output": "markdown + LaTeX + HTML tables", |
| "license": "apache-2.0", |
| "languages": { |
| "evidence": "not-stated" |
| }, |
| "support": "core", |
| "jobs": { |
| "image": "vllm/vllm-openai:v0.29.0", |
| "python": "/usr/bin/python3", |
| "env": { |
| "PYTHONPATH": "/usr/local/lib/python3.12/dist-packages" |
| }, |
| "flavor": "a10g-small", |
| "secrets": [ |
| "HF_TOKEN" |
| ] |
| }, |
| "image": "vllm/vllm-openai:v0.29.0" |
| }, |
| "ovis-ocr2-server.py": { |
| "model_id": "ATH-MaaS/OvisOCR2", |
| "params": "0.9B", |
| "backend": "vllm-server (in-job vllm serve + concurrent driver)", |
| "image": "vllm/vllm-openai:v0.22.1", |
| "task": "ocr", |
| "output": "markdown + LaTeX + HTML tables", |
| "license": "apache-2.0", |
| "notes": "Server-mode sibling of ovis-ocr2.py: ~1.7x its inference throughput, per-request failure isolation. See SERVING.md.", |
| "languages": { |
| "evidence": "not-stated" |
| }, |
| "support": "legacy", |
| "support_note": "Use ovis-ocr2-saturate.py (same model and server, adaptive concurrency, resumable)." |
| }, |
| "ovis-ocr2-saturate.py": { |
| "model_id": "ATH-MaaS/OvisOCR2", |
| "params": "0.9B", |
| "backend": "saturate (in-job vllm serve + saturate pump)", |
| "image": "vllm/vllm-openai:v0.22.1", |
| "task": "ocr", |
| "output": "markdown + LaTeX + HTML tables", |
| "license": "apache-2.0", |
| "notes": "saturate companion of ovis-ocr2-server.py: same model/prompt/sampling/post-processing; the driver half (adaptive concurrency, retries, resumable parquet output, durable error rows) is the saturate library. SERVING dict at the top of the script is the machine-readable tuning prior.", |
| "languages": { |
| "evidence": "not-stated" |
| }, |
| "support": "core", |
| "jobs": { |
| "image": "vllm/vllm-openai:v0.22.1", |
| "flavor": "a10g-small", |
| "secrets": [ |
| "HF_TOKEN" |
| ] |
| } |
| }, |
| "lighton-ocr.py": { |
| "model_id": "lightonai/LightOnOCR-1B-1025", |
| "params": "1B", |
| "backend": "vllm", |
| "task": "ocr", |
| "output": "markdown", |
| "languages": { |
| "evidence": "named-list", |
| "count": 9, |
| "named": [ |
| "en", |
| "fr", |
| "de", |
| "es", |
| "it", |
| "nl", |
| "pt", |
| "sv", |
| "da" |
| ], |
| "notes": "Explicitly European / Latin-alphabet focused." |
| }, |
| "support": "legacy", |
| "support_note": "LightOnOCR v1; use lighton-ocr2.py." |
| }, |
| "lighton-ocr2.py": { |
| "model_id": "lightonai/LightOnOCR-2-1B", |
| "params": "1B", |
| "backend": "vllm", |
| "task": "ocr", |
| "output": "markdown", |
| "languages": { |
| "evidence": "named-list", |
| "count": 11, |
| "named": [ |
| "en", |
| "fr", |
| "de", |
| "es", |
| "it", |
| "nl", |
| "pt", |
| "sv", |
| "da", |
| "zh", |
| "ja" |
| ], |
| "notes": "Adds zh/ja over v1; declared, not benchmarked per language." |
| }, |
| "support": "core", |
| "jobs": { |
| "image": "vllm/vllm-openai:v0.22.1", |
| "python": "/usr/bin/python3", |
| "env": { |
| "PYTHONPATH": "/usr/local/lib/python3.12/dist-packages" |
| }, |
| "flavor": "a10g-small", |
| "secrets": [ |
| "HF_TOKEN" |
| ] |
| }, |
| "image": "vllm/vllm-openai:v0.22.1" |
| }, |
| "lighton-ocr2-server.py": { |
| "model_id": "lightonai/LightOnOCR-2-1B", |
| "params": "1B", |
| "backend": "vllm-server (in-job vllm serve + concurrent driver)", |
| "image": "vllm/vllm-openai:v0.22.1", |
| "task": "ocr", |
| "output": "markdown", |
| "notes": "Server-mode sibling of lighton-ocr2.py (the model card's own documented path): ~1.8x its inference throughput. See SERVING.md.", |
| "languages": { |
| "evidence": "named-list", |
| "count": 11, |
| "named": [ |
| "en", |
| "fr", |
| "de", |
| "es", |
| "it", |
| "nl", |
| "pt", |
| "sv", |
| "da", |
| "zh", |
| "ja" |
| ], |
| "notes": "Adds zh/ja over v1; declared, not benchmarked per language." |
| }, |
| "support": "legacy", |
| "support_note": "Use lighton-ocr2-saturate.py (same model and server, adaptive concurrency, resumable)." |
| }, |
| "lighton-ocr2-saturate.py": { |
| "model_id": "lightonai/LightOnOCR-2-1B", |
| "params": "1B", |
| "backend": "saturate (in-job vllm serve + saturate pump)", |
| "image": "vllm/vllm-openai:v0.22.1", |
| "task": "ocr", |
| "output": "markdown", |
| "notes": "saturate companion of lighton-ocr2-server.py: same model/message shape/sampling; the driver half (adaptive concurrency, retries, resumable parquet output, durable error rows) is the saturate library. SERVING dict at the top of the script is the machine-readable tuning prior.", |
| "languages": { |
| "evidence": "named-list", |
| "count": 11, |
| "named": [ |
| "en", |
| "fr", |
| "de", |
| "es", |
| "it", |
| "nl", |
| "pt", |
| "sv", |
| "da", |
| "zh", |
| "ja" |
| ], |
| "notes": "Adds zh/ja over v1; declared, not benchmarked per language." |
| }, |
| "support": "core", |
| "jobs": { |
| "image": "vllm/vllm-openai:v0.22.1", |
| "flavor": "a10g-small", |
| "secrets": [ |
| "HF_TOKEN" |
| ] |
| } |
| }, |
| "hunyuan-ocr.py": { |
| "model_id": "tencent/HunyuanOCR", |
| "revision": "f6af82ee007fe6091b29fb3bb287b491ead41c82", |
| "params": "1B", |
| "backend": "vllm", |
| "task": "ocr", |
| "output": "markdown", |
| "license": "Hunyuan Community License (excludes EU/UK/KR)", |
| "languages": { |
| "evidence": "multilingual-unspecified" |
| }, |
| "support": "unsupported", |
| "support_note": "Broken (2026-09-23): the pinned 1.0 revision fails on current vLLM/transformers. Use hunyuan-ocr-1.5.py." |
| }, |
| "hunyuan-ocr-1.5.py": { |
| "model_id": "tencent/HunyuanOCR", |
| "params": "1B", |
| "backend": "vllm", |
| "task": "ocr | 12 task types", |
| "output": "markdown", |
| "license": "Hunyuan Community License (excludes EU/UK/KR)", |
| "languages": { |
| "evidence": "multilingual-unspecified", |
| "notes": "Explicitly targets low-resource + ancient-script OCR as a design goal; nothing enumerated." |
| }, |
| "support": "core", |
| "jobs": { |
| "image": "vllm/vllm-openai:v0.24.0", |
| "python": "/usr/bin/python3", |
| "env": { |
| "PYTHONPATH": "/usr/local/lib/python3.12/dist-packages" |
| }, |
| "flavor": "a10g-small", |
| "secrets": [ |
| "HF_TOKEN" |
| ] |
| }, |
| "image": "vllm/vllm-openai:v0.24.0" |
| }, |
| "dots-ocr.py": { |
| "model_id": "rednote-hilab/dots.ocr", |
| "params": "1.7B", |
| "backend": "vllm", |
| "task": "ocr + layout", |
| "output": "markdown", |
| "languages": { |
| "evidence": "count-claim", |
| "count": 100, |
| "notes": "Explicit low-resource claim backed by in-house dots.ocr-bench (1,493 PDFs across 100 languages); aggregate scores only." |
| }, |
| "support": "core", |
| "jobs": { |
| "image": "vllm/vllm-openai:v0.29.0", |
| "python": "/usr/bin/python3", |
| "env": { |
| "PYTHONPATH": "/usr/local/lib/python3.12/dist-packages" |
| }, |
| "flavor": "a10g-small", |
| "secrets": [ |
| "HF_TOKEN" |
| ] |
| }, |
| "image": "vllm/vllm-openai:v0.29.0" |
| }, |
| "firered-ocr.py": { |
| "model_id": "FireRedTeam/FireRed-OCR", |
| "params": "2.1B", |
| "backend": "vllm", |
| "task": "ocr", |
| "output": "markdown", |
| "license": "apache-2.0", |
| "languages": { |
| "evidence": "not-stated" |
| }, |
| "support": "legacy", |
| "support_note": "Works; low adoption." |
| }, |
| "abot-ocr.py": { |
| "model_id": "acvlab/ABot-OCR", |
| "params": "2B", |
| "backend": "vllm", |
| "image": "vllm/vllm-openai", |
| "task": "ocr", |
| "output": "markdown (text, LaTeX, HTML tables)", |
| "languages": { |
| "evidence": "not-stated" |
| }, |
| "support": "legacy", |
| "support_note": "Works; low adoption and no declared model licence." |
| }, |
| "nanonets-ocr.py": { |
| "model_id": "nanonets/Nanonets-OCR-s", |
| "params": "2B", |
| "backend": "vllm", |
| "task": "ocr", |
| "output": "markdown (LaTeX, tables, forms)", |
| "languages": { |
| "evidence": "english-only" |
| }, |
| "support": "legacy", |
| "support_note": "Nanonets-OCR-s; use nanonets-ocr2.py." |
| }, |
| "dots-mocr.py": { |
| "model_id": "rednote-hilab/dots.mocr", |
| "params": "3B", |
| "backend": "vllm", |
| "task": "ocr | 8 prompt modes incl. SVG, layout + bbox", |
| "output": "markdown", |
| "languages": { |
| "evidence": "multilingual-unspecified" |
| }, |
| "support": "core", |
| "jobs": { |
| "image": "vllm/vllm-openai:v0.29.0", |
| "python": "/usr/bin/python3", |
| "env": { |
| "PYTHONPATH": "/usr/local/lib/python3.12/dist-packages" |
| }, |
| "flavor": "a10g-small", |
| "secrets": [ |
| "HF_TOKEN" |
| ] |
| }, |
| "image": "vllm/vllm-openai:v0.29.0" |
| }, |
| "nanonets-ocr2.py": { |
| "model_id": "nanonets/Nanonets-OCR2-3B", |
| "params": "3B", |
| "backend": "vllm", |
| "image": "vllm/vllm-openai:v0.10.2", |
| "task": "ocr", |
| "output": "markdown", |
| "languages": { |
| "evidence": "named-list", |
| "count": "11 named + 'many more'", |
| "named": [ |
| "en", |
| "zh", |
| "fr", |
| "es", |
| "pt", |
| "de", |
| "it", |
| "ru", |
| "ja", |
| "ko", |
| "ar" |
| ], |
| "notes": "Only card claiming multilingual handwriting; list illustrative, no per-language benchmark." |
| }, |
| "support": "legacy", |
| "support_note": "Works on its pinned vllm/vllm-openai:v0.10.2 image; not header-migrated." |
| }, |
| "deepseek-ocr-vllm.py": { |
| "model_id": "deepseek-ai/DeepSeek-OCR", |
| "params": "4B", |
| "backend": "vllm", |
| "task": "ocr | 5 resolution + 5 prompt modes", |
| "output": "markdown", |
| "license": "mit", |
| "languages": { |
| "evidence": "multilingual-unspecified" |
| }, |
| "support": "core", |
| "jobs": { |
| "image": "vllm/vllm-openai:v0.29.0", |
| "python": "/usr/bin/python3", |
| "env": { |
| "PYTHONPATH": "/usr/local/lib/python3.12/dist-packages" |
| }, |
| "flavor": "a10g-small", |
| "secrets": [ |
| "HF_TOKEN" |
| ] |
| }, |
| "image": "vllm/vllm-openai:v0.29.0" |
| }, |
| "jina-ocr-v1.py": { |
| "model_id": "jinaai/jina-ocr-v1", |
| "model_name": "jina-ocr-v1", |
| "params": "3.4B (MoE, ~570M active)", |
| "backend": "vllm", |
| "task": "ocr", |
| "output": "markdown", |
| "license": "cc-by-nc-4.0", |
| "notes": "DeepSeek-OCR fine-tune with a FastMTP speculative-decoding head; offline vLLM only (the checkpoint's register() must run in-process, no vllm serve path yet). Card: 91.14 OmniDocBench v1.6, 83.4 olmOCR-Bench.", |
| "languages": { |
| "evidence": "multilingual-unspecified", |
| "notes": "Card metadata says multilingual; no per-language list or evidence in the card body." |
| }, |
| "support": "unsupported", |
| "support_note": "Broken (2026-09-23): vLLM 0.30 DeepEncoder kernel error; pinning vllm/vllm-openai:v0.29.0 likely fixes it (as for deepseek-ocr-vllm.py). CC-BY-NC-4.0 model.", |
| "jobs": { |
| "flavor": "a10g-small", |
| "secrets": [ |
| "HF_TOKEN" |
| ], |
| "env": { |
| "UV_TORCH_BACKEND": "auto" |
| } |
| } |
| }, |
| "deepseek-ocr.py": { |
| "model_id": "deepseek-ai/DeepSeek-OCR", |
| "params": "4B", |
| "backend": "transformers", |
| "task": "ocr", |
| "output": "markdown", |
| "license": "mit", |
| "languages": { |
| "evidence": "multilingual-unspecified" |
| }, |
| "support": "unsupported", |
| "support_note": "Broken (2026-09-23): every output row is the string 'None' (model.infer returns None). Use deepseek-ocr-vllm.py." |
| }, |
| "deepseek-ocr2-vllm.py": { |
| "model_id": "deepseek-ai/DeepSeek-OCR-2", |
| "params": "3B", |
| "backend": "vllm (nightly)", |
| "image": "vllm/vllm-openai:v0.29.0", |
| "task": "ocr", |
| "output": "markdown", |
| "license": "apache-2.0", |
| "languages": { |
| "evidence": "multilingual-unspecified" |
| }, |
| "support": "core", |
| "jobs": { |
| "image": "vllm/vllm-openai:v0.29.0", |
| "python": "/usr/bin/python3", |
| "env": { |
| "PYTHONPATH": "/usr/local/lib/python3.12/dist-packages" |
| }, |
| "flavor": "a10g-small", |
| "secrets": [ |
| "HF_TOKEN" |
| ] |
| } |
| }, |
| "unlimited-ocr-vllm.py": { |
| "model_id": "baidu/Unlimited-OCR", |
| "params": "3.3B", |
| "backend": "vllm", |
| "image": "vllm/vllm-openai:unlimited-ocr", |
| "task": "ocr (layout-grounded markdown; single-image batch)", |
| "output": "markdown", |
| "license": "mit", |
| "languages": { |
| "evidence": "multilingual-unspecified" |
| }, |
| "support": "core", |
| "jobs": { |
| "image": "vllm/vllm-openai:unlimited-ocr", |
| "python": "/usr/bin/python3", |
| "env": { |
| "PYTHONPATH": "/usr/local/lib/python3.12/dist-packages" |
| }, |
| "flavor": "a10g-small", |
| "secrets": [ |
| "HF_TOKEN" |
| ] |
| } |
| }, |
| "nuextract3.py": { |
| "model_id": "numind/NuExtract3", |
| "params": "4B", |
| "backend": "vllm", |
| "image": "vllm/vllm-openai:v0.29.0", |
| "task": "ocr | schema-guided extraction", |
| "output": "markdown or JSON", |
| "languages": { |
| "evidence": "multilingual-unspecified" |
| }, |
| "support": "core", |
| "jobs": { |
| "image": "vllm/vllm-openai:v0.29.0", |
| "python": "/usr/bin/python3", |
| "env": { |
| "PYTHONPATH": "/usr/local/lib/python3.12/dist-packages" |
| }, |
| "flavor": "a10g-small", |
| "secrets": [ |
| "HF_TOKEN" |
| ] |
| } |
| }, |
| "qianfan-ocr.py": { |
| "model_id": "baidu/Qianfan-OCR", |
| "params": "4.7B", |
| "backend": "vllm", |
| "task": "ocr", |
| "output": "markdown", |
| "languages": { |
| "evidence": "count-claim", |
| "count": 192, |
| "notes": "Headline claim; no list or per-language numbers." |
| }, |
| "support": "core", |
| "jobs": { |
| "image": "vllm/vllm-openai:v0.29.0", |
| "python": "/usr/bin/python3", |
| "env": { |
| "PYTHONPATH": "/usr/local/lib/python3.12/dist-packages" |
| }, |
| "flavor": "a10g-small", |
| "secrets": [ |
| "HF_TOKEN" |
| ] |
| }, |
| "image": "vllm/vllm-openai:v0.29.0" |
| }, |
| "olmocr2-vllm.py": { |
| "model_id": "allenai/olmOCR-2-7B-1025-FP8", |
| "params": "7B", |
| "backend": "vllm", |
| "task": "ocr", |
| "output": "markdown", |
| "languages": { |
| "evidence": "english-only" |
| }, |
| "support": "core", |
| "jobs": { |
| "image": "vllm/vllm-openai:v0.29.0", |
| "python": "/usr/bin/python3", |
| "env": { |
| "PYTHONPATH": "/usr/local/lib/python3.12/dist-packages" |
| }, |
| "flavor": "a10g-small", |
| "secrets": [ |
| "HF_TOKEN" |
| ] |
| }, |
| "image": "vllm/vllm-openai:v0.29.0" |
| }, |
| "rolm-ocr.py": { |
| "model_id": "reducto/RolmOCR", |
| "params": "7B", |
| "backend": "vllm", |
| "task": "ocr", |
| "output": "plain text", |
| "languages": { |
| "evidence": "not-stated" |
| }, |
| "support": "unsupported", |
| "support_note": "Broken (2026-09-23): no KV cache room on a 24 GB L4 with the default settings. Use olmocr2-vllm.py." |
| }, |
| "numarkdown-ocr.py": { |
| "model_id": "numind/NuMarkdown-8B-Thinking", |
| "params": "8B", |
| "backend": "vllm", |
| "task": "ocr (reasoning)", |
| "output": "markdown", |
| "languages": { |
| "evidence": "not-stated" |
| }, |
| "support": "legacy", |
| "support_note": "8B reasoning model; works, little used." |
| }, |
| "lfm2-vl-extract.py": { |
| "model_id": "LiquidAI/LFM2.5-VL-1.6B-Extract", |
| "params": "1.6B", |
| "backend": "vllm", |
| "image": "vllm/vllm-openai", |
| "task": "schema-guided extraction (image -> JSON)", |
| "output": "JSON", |
| "languages": { |
| "evidence": "english-only", |
| "notes": "Vision card declares en only; the text sibling's 9-language list does NOT carry over." |
| }, |
| "support": "legacy", |
| "support_note": "Works; nuextract3.py and lift-extract.py cover image-to-JSON extraction." |
| }, |
| "lfm2-extract.py": { |
| "model_id": "LiquidAI/LFM2-1.2B-Extract", |
| "params": "1.2B", |
| "backend": "vllm", |
| "image": "vllm/vllm-openai:v0.29.0", |
| "task": "schema-guided extraction (text -> structured); chain after any OCR recipe", |
| "output": "JSON / XML / YAML", |
| "languages": { |
| "evidence": "named-list", |
| "count": 9, |
| "named": [ |
| "en", |
| "ar", |
| "zh", |
| "fr", |
| "de", |
| "ja", |
| "ko", |
| "pt", |
| "es" |
| ], |
| "notes": "Text-only model (not OCR). Card prose names 9 incl. Portuguese; card YAML lists 8 (pt missing)." |
| }, |
| "support": "tool", |
| "jobs": { |
| "image": "vllm/vllm-openai:v0.29.0", |
| "python": "/usr/bin/python3", |
| "env": { |
| "PYTHONPATH": "/usr/local/lib/python3.12/dist-packages" |
| }, |
| "flavor": "a10g-small", |
| "secrets": [ |
| "HF_TOKEN" |
| ] |
| } |
| }, |
| "lift-extract.py": { |
| "model_id": "datalab-to/lift", |
| "params": "9B", |
| "backend": "transformers | vllm", |
| "task": "schema-guided extraction (image or multi-page PDF -> JSON)", |
| "output": "JSON", |
| "license": "modified OpenRAIL-M", |
| "languages": { |
| "evidence": "not-stated" |
| }, |
| "support": "core", |
| "jobs": { |
| "flavor": "a100-large", |
| "secrets": [ |
| "HF_TOKEN" |
| ] |
| } |
| }, |
| "pp-doclayout.py": { |
| "model_id": "PaddlePaddle/PP-DocLayout-L", |
| "params": "123M", |
| "backend": "paddleocr", |
| "task": "layout detection (no text extraction)", |
| "output": "bounding boxes + region classes", |
| "languages": { |
| "evidence": "not-applicable" |
| }, |
| "support": "tool", |
| "jobs": { |
| "flavor": "t4-small", |
| "secrets": [ |
| "HF_TOKEN" |
| ] |
| } |
| }, |
| "glm-ocr-v2.py": { |
| "variant_of": "glm-ocr.py", |
| "notes": "Adds checkpoint/resume for very large jobs.", |
| "support": "legacy", |
| "support_note": "Superseded by glm-ocr.py for most runs; kept for its resume support." |
| }, |
| "glm-ocr-bucket.py": { |
| "variant_of": "glm-ocr.py", |
| "notes": "Reads images/PDFs from a mounted bucket, writes one .md per page.", |
| "support": "core", |
| "jobs": { |
| "image": "vllm/vllm-openai:v0.29.0", |
| "python": "/usr/bin/python3", |
| "env": { |
| "PYTHONPATH": "/usr/local/lib/python3.12/dist-packages" |
| }, |
| "flavor": "a10g-small", |
| "secrets": [ |
| "HF_TOKEN" |
| ] |
| }, |
| "image": "vllm/vllm-openai:v0.29.0" |
| }, |
| "falcon-ocr-bucket.py": { |
| "variant_of": "falcon-ocr.py", |
| "notes": "Reads images/PDFs from a mounted bucket, writes one .md per page.", |
| "support": "legacy", |
| "support_note": "Falcon-OCR v1; v1.5 work is in PR #110. --max-samples counts files, not pages." |
| }, |
| "surya-ocr-bucket.py": { |
| "variant_of": "surya-ocr.py", |
| "notes": "Bucket-to-bucket structured OCR (--io-mode mount|copy), resumable.", |
| "support": "core", |
| "jobs": { |
| "image": "vllm/vllm-openai:v0.20.1", |
| "python": "/usr/local/bin/python3", |
| "env": { |
| "PYTHONPATH": "/usr/local/lib/python3.12/site-packages" |
| }, |
| "flavor": "a10g-small", |
| "secrets": [ |
| "HF_TOKEN" |
| ] |
| }, |
| "image": "vllm/vllm-openai:v0.20.1" |
| }, |
| "ocr-vllm-judge.py": { |
| "model_id": "configurable", |
| "task": "pairwise OCR-quality judging (VLM-as-judge)", |
| "languages": { |
| "evidence": "not-applicable" |
| }, |
| "support": "tool", |
| "jobs": { |
| "image": "vllm/vllm-openai:v0.29.0", |
| "python": "/usr/bin/python3", |
| "env": { |
| "PYTHONPATH": "/usr/local/lib/python3.12/dist-packages" |
| }, |
| "flavor": "a100-large", |
| "secrets": [ |
| "HF_TOKEN" |
| ] |
| }, |
| "image": "vllm/vllm-openai:v0.29.0" |
| } |
| } |
|
|
