ModelPublicadoExterno

Lightonocr Crispembed GGUF

LightOnOCR-2-1B (LightOn, Apache-2.0): Pixtral ViT (24L, 1024d) + Qwen3 decoder (28L, 1024d). OCR Arena #2. 1B params.

Fuentehuggingface.co/cstr/lightonocr-crispembed-GGUF/tree/5e95afccf6ae817f8352e0127218a06c02519e5e

TipoOtherVersiónRevision 5e95afcBcalidad

Fuente del modelo

Tipo: Other
Tamaño del archivo: 624 MB–2,17 GB
Versión: vRevision 5e95afc
Actualizado: 23 oct 2026
Descargas: 96
Fuente: Hugging Face

Descripción de la fuente

LightOnOCR-2-1B — CrispEmbed GGUF

LightOnOCR-2-1B (LightOn, Apache-2.0): Pixtral ViT (24L, 1024d) + Qwen3 decoder (28L, 1024d). OCR Arena #2. 1B params.

Files

File	Type	Size	Notes
lightonocr-1b-f16.gguf	F16	2.3 GB	Full precision
lightonocr-1b-q8_0.gguf	Q8_0	1.1 GB	Best quality quantized
lightonocr-1b-q4_k.gguf	Q4_K	0.6 GB	Desktop/edge target

Usage

# CLI
crispembed --ocr lightonocr-1b-q8_0.gguf image.png

# Server
crispembed-server --ocr lightonocr-1b-q8_0.gguf
curl -X POST http://localhost:8080/math/ocr -d '{'"image": "document.png"}'

from crispembed import CrispMathOcr
ocr = CrispMathOcr("lightonocr-1b-q8_0.gguf")
text = ocr.recognize("document.png")
conf = ocr.mean_confidence
print(f"{text} (confidence: {conf:.2f})")

Source

Original: LightOn/LightOnOCR-2-1B
Converted with CrispEmbed convert-lightonocr-to-gguf.py

Provenance and EU AI Act Art. 53 note

Upstream model: LightOn/LightOnOCR-2-1B.
Upstream licence: apache-2.0. This repository redistributes under the same terms; it grants no rights the upstream licence does not.
What was done here: format conversion and/or quantisation only (GGUF). No training, no fine-tuning, no merging, no distillation, no change to architecture, vocabulary or capability. Only the numeric representation of the upstream weights differs.
Training data: documented — where it is documented at all — by the upstream provider; see the upstream model card. No training data was used, added or selected by this repository.
Provider status: under Regulation (EU) 2024/1689 the upstream authors remain the provider of this model. Converting the serialisation format does not make this repository the provider of a new general-purpose AI model, and no such claim is made. Questions about training content, copyright policy or model capability belong upstream.

Fuentes

1 fuente

Hugging FacePrincipalVersión 5e95afccf6ae817f8352e0127218a06c02519e5e

huggingface.co/cstr/lightonocr-crispembed-GGUF/tree/5e95afccf6ae817f8352e0127218a06c02519e5e

Verificado 23 oct

Artefactos del modelo

3 artefactos

lightonocr-1b-f16.gguf

gguf · 2,17 GB · SHA-256 3b3ee7fa3545…d7a9 · Hugging Face

Descargar

lightonocr-1b-q4_k.gguf

gguf · 624 MB · SHA-256 c162d1af62d2…536f · Hugging Face

Descargar

lightonocr-1b-q8_0.gguf

gguf · 1,00 GB · SHA-256 3a40ef60d319…1e26 · Hugging Face

Descargar

Extractos de fuentes

3 extractos

Readme6 agohuggingface.co/cstr/lightonocr-crispembed-GGUF

--- license: apache-2.0 tags: - ocr - gguf - crispembed - lightonocr pipeline_tag: image-to-text --- # LightOnOCR-2-1B — CrispEmbed GGUF LightOnOCR-2-1B (LightOn, Apache-2.0): Pixtral ViT (24L, 1024d) + Qwen3 decoder (28L, 1024d). OCR Arena #2. 1B params. ## Files | File | Type | Size | Notes | |------|------|------|-------| | lightonocr-1b-f16.gguf | F16 | 2.3 GB | Full precision | | lightonocr-1b-q8_0.gguf | Q8_0 | 1.1 GB | Best quality quantized | | lightonocr-1b-q4_k.gguf | Q4_K | 0.6 GB | Desktop/edge target | ## Usage ```bash # CLI crispembed --ocr lightonocr-1b-q8_0.gguf image.png # Server crispembed-server --ocr lightonocr-1b-q8_0.gguf curl -X POST http://localhost:8080/math/ocr -d '{'"image": "document.png"}' ``` ```python from crispembed import CrispMathOcr ocr = CrispMathOcr("lightonocr-1b-q8_0.gguf") text = ocr.recognize("document.png") conf = ocr.mean_confidence print(f"{text} (confidence: {conf:.2f})") ``` ## Source - Original: [LightOn/LightOnOCR-2-1B](https://huggingface.co/LightOn/LightOnOCR-2-1B) - Converted with CrispEmbed `convert-lightonocr-to-gguf.py` ## Provenance and EU AI Act Art. 53 note - **Upstream model:** [LightOn/LightOnOCR-2-1B](https://huggingface.co/LightOn/LightOnOCR-2-1B). - **Upstream licence:** `apache-2.0`. This repository redistributes under the same terms; it grants no rights the upstream licence does not. - **What was done here:** format conversion and/or quantisation only (GGUF). No training, no fine-tuning, no merging, no distillation, no change to architecture, vocabulary or capability. Only the numeric representation of the upstream weights differs. - **Training data:** documented — where it is documented at all — by the upstream provider; see the upstream model card. No training data was used, added or selected by this repository. - **Provider status:** under Regulation (EU) 2024/1689 the upstream authors remain the provider of this model. Converting the serialisation format does not make this repository the provider of a new general-purpose AI model, and no such claim is made. Questions about training content, copyright policy or model capability belong upstream.

Note23 octhuggingface.co/cstr/lightonocr-crispembed-GGUF

Source context: 96 downloads · 0 likes · Pipeline image-to-text · Repo cstr/lightonocr-crispembed-GGUF

Note6 agohuggingface.co/cstr/lightonocr-crispembed-GGUF

Source context: 58 downloads · 0 likes · Pipeline image-to-text · Repo cstr/lightonocr-crispembed-GGUF