Bttr Handwritten Math GGUF
BTTR (Bidirectional Training for Handwritten Text Recognition) for handwritten mathematical expression recognition, converted to GGUF format for CrispEmbed.
Modellquelle
- Art
- Modell
- Dateigröße
- 10,2–24,8 MB
- Version
- vRevision 2576c9c
- Aktualisiert
- 30. Okt. 2026
- Downloads
- 235
- Quelle
- Hugging Face
Quellenbeschreibung
BTTR Handwritten Math OCR — GGUF
BTTR (Bidirectional Training for Handwritten Text Recognition) for handwritten mathematical expression recognition, converted to GGUF format for CrispEmbed.
License
CC BY-NC-SA 3.0 — the model code is MIT (Green-Wood/BTTR), but the weights were trained on CROHME 2014 (CC BY-NC-SA 3.0). The training data license propagates to the trained weights.
- Personal, educational, and research use: allowed
- Apps (including commercial): allowed — the NC clause applies to the weights, not to software that loads them. Users download the weights separately and accept the NC terms.
- Redistributing or selling the weights themselves: not allowed
The C++ inference engine (CrispEmbed, MIT license) and GGUF converter are original clean-room implementations.
Model details
| Property | Value |
|---|---|
| Architecture | DenseNet encoder + 3-layer Transformer decoder |
| Parameters | 6.5M |
| Training data | CROHME 2014 (CC BY-NC-SA 3.0) |
| Vocabulary | 113 LaTeX tokens |
| CROHME 2014 eval | 49.2% raw / 49.8% parsed (greedy, 986 images) |
Files
| File | Quant | Size |
|---|---|---|
bttr-hw-f32.gguf | F32 | 25 MB |
bttr-hw-q8_0.gguf | Q8_0 | 13 MB |
bttr-hw-q4_k.gguf | Q4_K | 11 MB |
References
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Modellartefakte
3 Artefakte
Modellartefakte
3 ArtefakteQuellenauszüge
3 Auszüge
Quellenauszüge
3 Auszüge--- license: cc-by-nc-sa-3.0 tags: - math-ocr - handwritten-math - crohme - gguf - crispembed - bttr pipeline_tag: image-to-text datasets: - CROHME-2014 --- # BTTR Handwritten Math OCR — GGUF BTTR (Bidirectional Training for Handwritten Text Recognition) for handwritten mathematical expression recognition, converted to GGUF format for [CrispEmbed](https://github.com/CrispStrobe/CrispEmbed). ## License **CC BY-NC-SA 3.0** — the model code is MIT ([Green-Wood/BTTR](https://github.com/Green-Wood/BTTR)), but the weights were trained on CROHME 2014 (CC BY-NC-SA 3.0). The training data license propagates to the trained weights. - Personal, educational, and research use: **allowed** - Apps (including commercial): **allowed** — the NC clause applies to the weights, not to software that loads them. Users download the weights separately and accept the NC terms. - Redistributing or selling the weights themselves: **not allowed** The C++ inference engine ([CrispEmbed](https://github.com/CrispStrobe/CrispEmbed), MIT license) and GGUF converter are original clean-room implementations. ## Model details | Property | Value | |----------|-------| | Architecture | DenseNet encoder + 3-layer Transformer decoder | | Parameters | 6.5M | | Training data | CROHME 2014 (CC BY-NC-SA 3.0) | | Vocabulary | 113 LaTeX tokens | | CROHME 2014 eval | 49.2% raw / 49.8% parsed (greedy, 986 images) | ## Files | File | Quant | Size | |------|-------|------| | `bttr-hw-f32.gguf` | F32 | 25 MB | | `bttr-hw-q8_0.gguf` | Q8_0 | 13 MB | | `bttr-hw-q4_k.gguf` | Q4_K | 11 MB | ## References - [BTTR code (MIT)](https://github.com/Green-Wood/BTTR) - [CrispEmbed inference engine (MIT)](https://github.com/CrispStrobe/CrispEmbed) - [CROHME competition](https://www.isical.ac.in/~crohme/)
Source context: 235 downloads · 1 likes · Pipeline image-to-text · Repo cstr/bttr-handwritten-math-gguf
Source context: 507 downloads · 1 likes · Pipeline image-to-text · Repo cstr/bttr-handwritten-math-gguf
