mu2solutions/olmOCR-7B-0825-FP8-GGUF overview
olmOCR 7B 0825 FP8 GGUF GGUF conversion of allenai/olmOCR 7B 0825 FP8 https://huggingface.co/allenai/olmOCR 7B 0825 FP8 , published by Mu2 Solutions . First GG…
Runs locally from ~1.26 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
Model Details
| Model ID | mu2solutions/olmOCR-7B-0825-FP8-GGUF |
|---|---|
| Author | mu2solutions |
| Pipeline | image-text-to-text |
| License | apache-2.0 |
| Base model | allenai/olmOCR-7B-0825-FP8 |
| Last modified | 2026-09-04T00:49:17.000Z |
Model README
---
license: apache-2.0
base_model: allenai/olmOCR-7B-0825-FP8
tags:
- gguf
- llama.cpp
- allenai
- olmocr
- ocr
- vision
- document-understanding
- image-text-to-text
pipeline_tag: image-text-to-text
---
olmOCR-7B-0825-FP8 GGUF
GGUF conversion of allenai/olmOCR-7B-0825-FP8, published by Mu2 Solutions. First GGUF release of this model.
olmOCR-7B is Allen Institute for AI's document-understanding model — reads and reasons about text in images (PDFs, screenshots, scanned documents). Built on the Qwen2.5-VL architecture, so it runs on standard llama.cpp multimodal tooling with no custom forks required.
License
Apache 2.0 — same as the source model.
Files
| File | Quant | Size |
|---|---|---|
| olmOCR-7B-0825-FP8-text-F16.gguf | F16 (text) | 15 GB |
| olmOCR-7B-0825-FP8-text-Q8_0.gguf | Q8_0 (text) | 7.6 GB |
| olmOCR-7B-0825-FP8-text-Q4_K_M.gguf | Q4_K_M (text) | 4.4 GB |
| olmOCR-7B-0825-FP8-mmproj-F16.gguf | F16 (vision projector) | 1.3 GB |
Q4_K_M is the recommended default. Pair any text quant with the mmproj for document/vision use.
Conversion
- Source: HF safetensors (3 shards) via the llama.cpp HF-to-GGUF converter
- Architecture:
qwen2_5_vl(official llama.cpp support — text + mmproj both standard) - mmproj: 519 tensors (Qwen2.5-VL vision tower)
- Chat template embedded from source
Verification
- Text: verified — clean decoder output.
- Vision: verified — image encoding completes correctly and generation produces coherent descriptions ("The image shows...") through the standard
llama-mtmd-clitool. Full OCR run on large screenshots is CPU-slow but functional; GPU offload recommended for production use (-ngl 99).
Usage
# Document OCR / vision chat (standard llama.cpp)
llama-mtmd-cli -m olmOCR-7B-0825-FP8-text-Q4_K_M.gguf \
--mmproj olmOCR-7B-0825-FP8-mmproj-F16.gguf \
--image document.png -p "Read the text in this image."
# OpenAI-compatible serving
llama-server -m olmOCR-7B-0825-FP8-text-Q4_K_M.gguf \
--mmproj olmOCR-7B-0825-FP8-mmproj-F16.gguf --jinja
Credit
- Model: Allen Institute for AI (Ai2) — Apache 2.0
- Conversion: Mu2 Solutions — promoting truly open-source AI, one GGUF at a time
Run mu2solutions/olmOCR-7B-0825-FP8-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models