prithivMLmods/OvisOCR2-F32-GGUF overview
OvisOCR2 F32 GGUF OvisOCR2 , developed by the ATH MaaS https://huggingface.co/ATH MaaS team, is a compact 0.8B vision language model for end to end page level …
Runs locally from ~110.6 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| OvisOCR2.BF16.gguf | GGUF | GGUF | 1.41 GB | Download |
| OvisOCR2.F16.gguf | GGUF | GGUF | 1.41 GB | Download |
| OvisOCR2.F32.gguf | GGUF | GGUF | 2.81 GB | Download |
| OvisOCR2.Q3_K_L.gguf | GGUF | GGUF | 468.6 MB | Download |
| OvisOCR2.Q3_K_M.gguf | GGUF | GGUF | 444.6 MB | Download |
| OvisOCR2.Q3_K_S.gguf | GGUF | GGUF | 415.2 MB | Download |
| OvisOCR2.Q4_K_M.gguf | GGUF | GGUF | 504.8 MB | Download |
| OvisOCR2.Q4_K_S.gguf | GGUF | GGUF | 481.8 MB | Download |
| OvisOCR2.Q5_K_M.gguf | GGUF | GGUF | 551.2 MB | Download |
| OvisOCR2.Q5_K_S.gguf | GGUF | GGUF | 537.5 MB | Download |
| OvisOCR2.Q8_0.gguf | GGUF | GGUF | 774.2 MB | Download |
| OvisOCR2.mmproj-bf16.gguf | GGUF | BF16 | 197.7 MB | Download |
| OvisOCR2.mmproj-f16.gguf | GGUF | F16 | 197.7 MB | Download |
| OvisOCR2.mmproj-q8_0.gguf | GGUF | Q8_0 | 110.6 MB | Download |
Model Details
| Model ID | prithivMLmods/OvisOCR2-F32-GGUF |
|---|---|
| Author | prithivMLmods |
| Pipeline | image-text-to-text |
| License | apache-2.0 |
| Base model | ATH-MaaS/OvisOCR2 |
| Last modified | 2026-07-22T03:37:09.000Z |
Model README
---
tags:
- llama-cpp
- text-generation-inference
- ocr
- document-parsing
- multimodal
- markdown
- tables
- formulas
- vllm
- qwen3_5
license: apache-2.0
language:
- en
base_model:
- ATH-MaaS/OvisOCR2
pipeline_tag: image-text-to-text
library_name: transformers
---
OvisOCR2-F32-GGUF
> OvisOCR2, developed by the ATH-MaaS team, is a compact 0.8B vision-language model for end-to-end page-level document parsing, built by post-training Qwen3.5-0.8B to directly convert document images into structured Markdown while preserving the natural reading order. It accurately extracts plain text, complex tables (as HTML), mathematical formulas (as LaTeX), and visual regions, making it suitable for OCR, document understanding, and digitization workflows. Despite its small size, OvisOCR2 achieves state-of-the-art performance with an overall score of 96.58 on OmniDocBench v1.6, becoming the first end-to-end model to surpass traditional pipeline-based approaches on the benchmark, while also leading PureDocBench with an Avg3 score of 75.06. Trained using a combination of real-world and synthetic data with a multi-stage recipe incorporating Supervised Fine-Tuning (SFT), Reinforcement Learning (RL), and On-Policy Distillation (OPD), OvisOCR2 delivers high-quality document parsing with a lightweight deployment footprint and native support for efficient inference through vLLM.
Model Files
File Name | Quant Type | File Size | File Link |
|-----------|------------|-----------|-----------|
| OvisOCR2.BF16.gguf | BF16 | 1.52 GB | Download |
| OvisOCR2.F16.gguf | F16 | 1.52 GB | Download |
| OvisOCR2.F32.gguf | F32 | 3.02 GB | Download |
| OvisOCR2.Q3_K_L.gguf | Q3_K_L | 491 MB | Download |
| OvisOCR2.Q3_K_M.gguf | Q3_K_M | 466 MB | Download |
| OvisOCR2.Q3_K_S.gguf | Q3_K_S | 435 MB | Download |
| OvisOCR2.Q4_K_M.gguf | Q4_K_M | 529 MB | Download |
| OvisOCR2.Q4_K_S.gguf | Q4_K_S | 505 MB | Download |
| OvisOCR2.Q5_K_M.gguf | Q5_K_M | 578 MB | Download |
| OvisOCR2.Q5_K_S.gguf | Q5_K_S | 564 MB | Download |
| OvisOCR2.Q8_0.gguf | Q8_0 | 812 MB | Download |
| OvisOCR2.mmproj-bf16.gguf | mmproj-bf16 | 207 MB | Download |
| OvisOCR2.mmproj-f16.gguf | mmproj-f16 | 207 MB | Download |
| OvisOCR2.mmproj-q8_0.gguf | mmproj-q8_0 | 116 MB | Download |
llama.cpp
LLM inference in C/C++ — https://github.com/ggml-org/llama.cpp
Run prithivMLmods/OvisOCR2-F32-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models