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Open-weight model

mangadict-models

by Craig Kolb craigkolb/mangadict-models

mangadict-models is an open-weight model from Craig Kolb, released under Apache License 2.0. Its published files total 151.4 MB.

ONNX models used by the mangadict browser extension to find and read Japanese text in manga pages.

Parameters—
Context—
Weights151.4 MB
Licenseapache-2.0
AccessOpen weights
Monthly Downloads—

Model Card

By Craig Kolb, published under apache-2.0, revision f30a1f4cdec5.

ONNX models used by the mangadict browser extension to find and read Japanese text in manga pages. They are repackaged from the models below for in-browser inference with onnxruntime-web; see those repos for training details and their licenses (all Apache-2.0). Use tagged revisions (e.g. v1); main may change.

Read Craig Kolb's full model card

ONNX models used by the mangadict browser extension to find and read Japanese text in manga pages. They are repackaged from the models below for in-browser inference with onnxruntime-web; see those repos for training details and their licenses (all Apache-2.0).

Path Source Notes
detector/v4-s_int8.onnx ogkalu/comic-text-and-bubble-detector (detector-v4-s_int8.onnx) Unmodified copy. RT-DETR; classes: bubble, text_bubble, text_free.
ocr-2025-kv/encoder.onnx, cross.onnx, step.onnx, config.json jzhang533/manga-ocr-base-2025, a fine-tune of kha-white/manga-ocr-base fp32 re-export with a KV cache: encoder (image → features), cross (per-image cross-attention keys/values), step (one decoder step: previous token + cache → logits + updated cache). Greedy decoding matches the original model.
ocr-2025/vocab.txt kha-white/manga-ocr-base Character vocabulary (shared by base and 2025).

Use tagged revisions (e.g. v1); main may change.

Identity and Version

Repository
craigkolb/mangadict-models
Publisher
Craig Kolb
Task
Not stated by the source
Modality
Other
Library
Not stated by the source
Parameters
Not stated by the source
Languages
ja
Revision
f30a1f4cdec52dfac4c7862ec5c9f41f1ff66b01
First published
2026-09-28
Last updated
2026-09-28

Files and Weights

8 files, 151.4 MB in total. The weights are 4 files totalling 151.4 MB in onnx.

Weights4 files · 151.4 MB
Configuration1 file · 63 B
Tokenizer1 file · 24.1 KB
Documentation1 file · 1.3 KB
Repository1 file · 1.5 KB
Every file
FileTypeSizeSHA-256
detector/v4-s_int8.onnxWeights11.1 MB 5fe9e4f576e4
ocr-2025-kv/cross.onnxWeights10.0 MB 94a628f0b942
ocr-2025-kv/encoder.onnxWeights22.3 MB 1a7fd905b83c
ocr-2025-kv/step.onnxWeights107.9 MB 5cb58f567686
ocr-2025-kv/config.jsonConfiguration63 B —
README.mdDocumentation1.3 KB —
.gitattributesRepository1.5 KB —
ocr-2025/vocab.txtTokenizer24.1 KB —

License and Download

License
apache-2.0
Access
Open weights, no gate
Download size
151.4 MB
Download from Craig Kolb

Released by Craig Kolb through its official repository on Hugging Face. Read the license.

Memory Requirements

PrecisionWeights in memory
As published151.4 MB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

Questions About mangadict-models

Can I use mangadict-models commercially?

Yes. mangadict-models is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.