Hmer Handwritten Math GGUF
HMER (Handwritten Mathematical Expression Recognition) with DenseNet-121 encoder and GRU attention decoder, converted to GGUF format for CrispEmbed.
Source du modèle
- Type
- Modèle
- Taille du fichier
- 3,90–26,0 MB
- Version
- vRevision 4579b7e
- Mis à jour
- 30 oct. 2026
- Téléchargements
- 269
- Source
- Hugging Face
Description de la source
HMER Handwritten Math OCR — GGUF
HMER (Handwritten Mathematical Expression Recognition) with DenseNet-121 encoder and GRU attention decoder, converted to GGUF format for CrispEmbed.
License
CC BY-NC-SA 3.0 — the model code is MIT (whywhs/Pytorch-HMER), but the weights were trained on CROHME 2016 (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-121 encoder + GRU attention decoder (with coverage) |
| Parameters | ~6.8M |
| Training data | CROHME 2016 (CC BY-NC-SA 3.0) |
| Vocabulary | 112 LaTeX tokens |
| CROHME 2014 eval | 36.1% raw / 36.3% parsed (greedy, 986 images) |
Files
| File | Quant | Size |
|---|---|---|
hmer-hw-f32.gguf | F32 | ~14 MB |
hmer-hw-f16.gguf | F16 | ~7 MB |
hmer-hw-q8_0.gguf | Q8_0 | 7 MB |
hmer-hw-q4_k.gguf | Q4_K | 4 MB |
References
Sources
1 source
Sources
1 sourceVérifié 30 oct.
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Repository files
File inventory only; completeness is unverified.
Artefacts du modèle
4 artefacts
Artefacts du modèle
4 artefactsExtraits de sources
3 extraits
Extraits de sources
3 extraits--- license: cc-by-nc-sa-3.0 tags: - math-ocr - handwritten-math - crohme - gguf - crispembed - hmer pipeline_tag: image-to-text datasets: - CROHME-2016 --- # HMER Handwritten Math OCR — GGUF HMER (Handwritten Mathematical Expression Recognition) with DenseNet-121 encoder and GRU attention decoder, converted to GGUF format for [CrispEmbed](https://github.com/CrispStrobe/CrispEmbed). ## License **CC BY-NC-SA 3.0** — the model code is MIT ([whywhs/Pytorch-HMER](https://github.com/whywhs/Pytorch-HMER)), but the weights were trained on CROHME 2016 (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-121 encoder + GRU attention decoder (with coverage) | | Parameters | ~6.8M | | Training data | CROHME 2016 (CC BY-NC-SA 3.0) | | Vocabulary | 112 LaTeX tokens | | CROHME 2014 eval | 36.1% raw / 36.3% parsed (greedy, 986 images) | ## Files | File | Quant | Size | |------|-------|------| | `hmer-hw-f32.gguf` | F32 | ~14 MB | | `hmer-hw-f16.gguf` | F16 | ~7 MB | | `hmer-hw-q8_0.gguf` | Q8_0 | 7 MB | | `hmer-hw-q4_k.gguf` | Q4_K | 4 MB | ## References - [Pytorch-HMER code (MIT)](https://github.com/whywhs/Pytorch-HMER) - [CrispEmbed inference engine (MIT)](https://github.com/CrispStrobe/CrispEmbed) - [CROHME competition](https://www.isical.ac.in/~crohme/)
Source context: 269 downloads · 0 likes · Pipeline image-to-text · Repo cstr/hmer-handwritten-math-gguf
Source context: 603 downloads · 0 likes · Pipeline image-to-text · Repo cstr/hmer-handwritten-math-gguf
