Firered Ocr Crispembed GGUF
GGUF conversion of FireRedTeam/FireRed-OCR for CrispEmbed.
Fuente del modelo
- Tipo
- Other
- Tamaño del archivo
- 17,4 MB–3,96 GB
- Modelo base
- FireRedTeam/FireRed-OCR
- Versión
- vRevision 6b24bd0
- Actualizado
- 23 oct 2026
- Descargas
- 91
- Fuente
- Hugging Face
Descripción de la fuente
FireRed-OCR — CrispEmbed GGUF
GGUF conversion of FireRedTeam/FireRed-OCR for CrispEmbed.
FireRed-OCR is a Qwen3-VL 2B fine-tune with Format-Constrained GRPO training for tables, formulas, and structured document OCR. 92.94% on OmniDocBench v1.5.
Architecture
- Vision: Qwen3-VL ViT (24 layers, 1024d, patch 16, deepstack [5,11,17])
- LLM: Qwen3-2B (28 layers, 2048d, GQA 16/8, QK norms, mRoPE interleaved)
- Training: Format-Constrained GRPO with rewards for formula syntax, table integrity, hierarchical closure
Models
| File | Quant | Size | Notes |
|---|---|---|---|
firered-ocr-f16.gguf | F16 | 4.0 GB | Full precision |
firered-ocr-q8_0.gguf | Q8_0 | 2.2 GB | Best quality/size |
firered-ocr-q4_k.gguf | Q4_K | 1.6 GB | Smallest |
firered-ocr-ref.gguf | F32 | 17 MB | Reference activations for parity testing |
Usage
crispembed --ocr firered-ocr-q8_0.gguf document.png
Runs on the qwen2vl_ocr engine (auto-detected from GGUF architecture qwen3vl).
License
Apache-2.0 (FireRedTeam/FireRed-OCR)
Provenance and EU AI Act Art. 53 note
- Upstream model: FireRedTeam/FireRed-OCR — published by
FireRedTeam. - 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. No training-content summary was found on the upstream model card at the time of writing; that documentation gap is upstream's and is not filled here.
- 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
Fuentes
1 fuenteVerificado 23 oct
Download files
Artefactos del modelo
4 artefactos
Artefactos del modelo
4 artefactosExtractos de fuentes
3 extractos
Extractos de fuentes
3 extractos--- license: apache-2.0 tags: [gguf, ocr, vlm, qwen3-vl, document-understanding, crispembed] base_model: FireRedTeam/FireRed-OCR library_name: crispembed pipeline_tag: image-to-text --- # FireRed-OCR — CrispEmbed GGUF GGUF conversion of [FireRedTeam/FireRed-OCR](https://huggingface.co/FireRedTeam/FireRed-OCR) for [CrispEmbed](https://github.com/CrispStrobe/CrispEmbed). FireRed-OCR is a Qwen3-VL 2B fine-tune with Format-Constrained GRPO training for tables, formulas, and structured document OCR. 92.94% on OmniDocBench v1.5. ## Architecture - **Vision**: Qwen3-VL ViT (24 layers, 1024d, patch 16, deepstack [5,11,17]) - **LLM**: Qwen3-2B (28 layers, 2048d, GQA 16/8, QK norms, mRoPE interleaved) - **Training**: Format-Constrained GRPO with rewards for formula syntax, table integrity, hierarchical closure ## Models | File | Quant | Size | Notes | |------|-------|------|-------| | `firered-ocr-f16.gguf` | F16 | 4.0 GB | Full precision | | `firered-ocr-q8_0.gguf` | Q8_0 | 2.2 GB | Best quality/size | | `firered-ocr-q4_k.gguf` | Q4_K | 1.6 GB | Smallest | | `firered-ocr-ref.gguf` | F32 | 17 MB | Reference activations for parity testing | ## Usage ```bash crispembed --ocr firered-ocr-q8_0.gguf document.png ``` Runs on the `qwen2vl_ocr` engine (auto-detected from GGUF architecture `qwen3vl`). ## License Apache-2.0 ([FireRedTeam/FireRed-OCR](https://huggingface.co/FireRedTeam/FireRed-OCR)) ## Provenance and EU AI Act Art. 53 note - **Upstream model:** [FireRedTeam/FireRed-OCR](https://huggingface.co/FireRedTeam/FireRed-OCR) — published by `FireRedTeam`. - **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. No training-content summary was found on the upstream model card at the time of writing; that documentation gap is upstream's and is not filled here. - **Provider status:** under Regulation (EU) 2024/1689 the upstream authors remain th...
Source context: 91 downloads · 0 likes · Pipeline image-to-text · Library crispembed · Repo cstr/firered-ocr-crispembed-GGUF
Source context: 56 downloads · 0 likes · Pipeline image-to-text · Library crispembed · Repo cstr/firered-ocr-crispembed-GGUF
