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Lightonocr GGUF

GGUF conversion of lightonai/LightOnOCR-2-1B for CrispEmbed.

TipoOtherModelo baselightonai/LightOnOCR-2-1BVersãoRevision f7c0977Bnota

Fonte do modelo

Tipo
Other
Tamanho do arquivo
624 MB–2,17 GB
Modelo base
lightonai/LightOnOCR-2-1B
Versão
vRevision f7c0977
Atualizado
23 de out. de 2026
Downloads
136
Fonte
Hugging Face

Descrição da fonte

LightOnOCR-2-1B — GGUF

GGUF conversion of lightonai/LightOnOCR-2-1B for CrispEmbed.

OCR Arena #2 (ELO 1697, 72% win rate). End-to-end document OCR — converts scans, PDFs, and photos to clean markdown.

Architecture

ComponentDetails
VisionPixtral ViT (24L, 1024d, 2D RoPE, SiLU FFN)
Projection2×2 spatial merge + 2-layer MLP + RMSNorm
DecoderQwen3 (28L, 1024d, GQA 16/8, QK norm, SwiGLU)
Total1006M params
LicenseApache 2.0

Available Formats

FileFormatSize
lightonocr-1b-f16.ggufF162218 MB
lightonocr-1b-q8_0.ggufQ8_01025 MB
lightonocr-1b-q4_k.ggufQ4_K622 MB

Usage

crispembed -m lightonocr-1b-q4_k.gguf --ocr document.png

Auto-detected from GGUF architecture metadata (lightonocr).

Provenance and EU AI Act Art. 53 note

  • Upstream model: lightonai/LightOnOCR-2-1B — published by lightonai.
  • 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.

Fontes

1 fonte
Hugging FacePrimárioVersão f7c097777d5e971df3813e6b28a4ab5647553ffd
huggingface.co/cstr/lightonocr-GGUF/tree/f7c097777d5e971df3813e6b28a4ab5647553ffd

Verificado 23 de out.

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Artefatos de modelo

3 artefatos

lightonocr-1b-f16.gguf

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

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lightonocr-1b-q4_k.gguf

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

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lightonocr-1b-q8_0.gguf

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

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Trechos de fonte

3 trechos

--- license: apache-2.0 tags: [gguf, ocr, document-understanding, pixtral, qwen3] base_model: lightonai/LightOnOCR-2-1B pipeline_tag: image-to-text language: [en, de, fr, es, it, pt, nl] --- # LightOnOCR-2-1B — GGUF GGUF conversion of [lightonai/LightOnOCR-2-1B](https://huggingface.co/lightonai/LightOnOCR-2-1B) for [CrispEmbed](https://github.com/CrispStrobe/CrispEmbed). OCR Arena #2 (ELO 1697, 72% win rate). End-to-end document OCR — converts scans, PDFs, and photos to clean markdown. ## Architecture | Component | Details | |-----------|---------| | Vision | Pixtral ViT (24L, 1024d, 2D RoPE, SiLU FFN) | | Projection | 2×2 spatial merge + 2-layer MLP + RMSNorm | | Decoder | Qwen3 (28L, 1024d, GQA 16/8, QK norm, SwiGLU) | | Total | 1006M params | | License | Apache 2.0 | ## Available Formats | File | Format | Size | |------|--------|------| | `lightonocr-1b-f16.gguf` | F16 | 2218 MB | | `lightonocr-1b-q8_0.gguf` | Q8_0 | 1025 MB | | `lightonocr-1b-q4_k.gguf` | Q4_K | 622 MB | ## Usage ```bash crispembed -m lightonocr-1b-q4_k.gguf --ocr document.png ``` Auto-detected from GGUF architecture metadata (`lightonocr`). ## Provenance and EU AI Act Art. 53 note - **Upstream model:** [lightonai/LightOnOCR-2-1B](https://huggingface.co/lightonai/LightOnOCR-2-1B) — published by `lightonai`. - **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.

Source context: 136 downloads · 0 likes · Pipeline image-to-text · Repo cstr/lightonocr-GGUF

Source context: 289 downloads · 0 likes · Pipeline image-to-text · Repo cstr/lightonocr-GGUF