road weights
Line readers and word-boundary models for the road handwritten-line transcription pipeline.
⚡ Quick start
This repository is public and ungated: downloads need no Hugging Face account or token.
With the accompanying road code:
bash install.sh # install the pinned environments
bash scripts/01_get_weights.sh --release bundle-001 # download and verify inference weights and bases
bash run_inference.sh --release bundle-001 # write outputs/submission/final_submission.csv
The downloader uses the immutable weight revision 96fa774b66a32e30f48bbe920121bcdff0548a19.
It also downloads the two Qwen base models from the pinned repositories listed below.
To acquire the starting models for training, including the Kraken base hosted under upstream/:
bash scripts/01_get_weights.sh --release bundle-001 --training --bases-only
📦 Contents
Release bundle-001. Each reader comes in five versions, one per fold (f0–f4).
| Folder | Model | Input | Format | Size |
|---|---|---|---|---|
qwen3vl_strip/ | Qwen3-VL 8B | single strip | LoRA adapter | 3.7 GB |
qwen3vl_nine/ | Qwen3-VL 8B | nine views | LoRA adapter | 3.7 GB |
qwen35_strip/ | Qwen3.5-9B | single strip | adapter | 2.8 GB |
qwen35_nine/ | Qwen3.5-9B | nine views | adapter | 2.8 GB |
lighton_strip/ | LightOnOCR-2 1B | single strip | full checkpoint | 20.2 GB |
lighton_nine/ | LightOnOCR-2 1B | nine views | full checkpoint | 20.2 GB |
convnext_large/ | ConvNeXt-large CTC | single strip | full checkpoint | 4.2 GB |
kraken_medium/ | Kraken medium CTC | single strip | full checkpoint | 0.3 GB |
segmenter/ | 2 word counters + 5 boundary finders | single strip | full checkpoints | 5.6 GB |
upstream/ | PP-OCRv6 (medium), byte-identical copy | – | original file | 64 MB |
Adapters load on their public base model, downloaded from its own repository at a pinned revision. Full checkpoints need nothing else.
| Base | Revision | Used for |
|---|---|---|
| unsloth/Qwen3-VL-8B-Instruct-unsloth-bnb-4bit | b5b904c3fcdc7541adf2a2bb219b0ed95288c794 | loading qwen3vl_* |
| Qwen/Qwen3.5-9B | c202236235762e1c871ad0ccb60c8ee5ba337b9a | loading qwen35_* |
| lightonai/LightOnOCR-2-1B-base | c1bc8eb6625be7b34178ff53481b242f7b8ffcb8 | training only |
| timm/convnext_large.fb_in22k_ft_in1k | dc2e53fad264aa1fb4e5940e0d1c9b79ac6e0854 | training only |
PP-OCRv6 (medium), copy in upstream/ | Zenodo record 21788410 | training only |
🔒 Integrity
manifest.json lists the size and SHA-256 of every file. The downloader checks each file against it and refuses any mismatch. Files never change within a release.
⚖️ Licences
The reader and word-boundary checkpoints are modified versions of the models below. The Kraken base under upstream/ is an unchanged copy.
| Folders | Built on | Licence | Credit |
|---|---|---|---|
qwen3vl_* | Qwen3-VL-8B-Instruct, 4-bit by Unsloth | Apache-2.0 | Qwen team, Alibaba Cloud |
qwen35_* | Qwen3.5-9B | Apache-2.0 | Qwen team, Alibaba Cloud (© 2026 Alibaba Cloud) |
lighton_* | LightOnOCR-2-1B-base | Apache-2.0 | LightOn |
convnext_large/, segmenter/ | ConvNeXt-large, via timm | Apache-2.0; original weights MIT | Liu et al., "A ConvNet for the 2020s" (2022); © Meta Platforms, Inc. and affiliates |
kraken_medium/, upstream/ | PP-OCRv6 (medium) | Apache-2.0 | Benjamin Kiessling (ALMAnaCH, Inria Paris) |
Full texts: LICENSE (Apache-2.0) and licenses/MIT-ConvNeXt.txt.
🙏 Credits
Using the Kraken files? Please cite kraken and credit the dataset providers listed on the PP-OCRv6 record.
Each environment has its own hash-locked pins in the road code (install/locks/<environment>.lock). CUDA 12.8 builds.
| Environment | Python | Key packages | Loads |
|---|---|---|---|
| core | 3.10.12 | huggingface-hub 0.36.2, numpy 2.2.6, rapidfuzz 3.14.5 | download, weighted vote |
| seg | 3.11.13 | torch 2.10.0, timm 1.0.28, opencv-python-headless 4.14 | segmenter/, convnext_large/ |
| kraken | 3.11.13 | torch 2.10.0, kraken 7.1.1, kenlm 0.3.0 | kraken_medium/ |
| qwen3vl | 3.11.13 | torch 2.11.0, transformers 5.5.0, peft 0.20.0, unsloth 2026.9.2, bitsandbytes 0.50.2 | qwen3vl_* |
| qwen35 | 3.11.13 | torch 2.10.0, transformers 5.17.0, peft 0.19.1 | qwen35_* |
| lighton | 3.11.13 | torch 2.10.0, transformers 5.17.0 | lighton_* |