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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 …

transformersggufllama-cpptext-generation-inferenceocrdocument-parsingmultimodalmarkdowntablesformulasvllmqwen3_5image-text-to-textenbase_model:ATH-MaaS/OvisOCR2base_model:quantized:ATH-MaaS/OvisOCR2license:apache-2.0endpoints_compatibleregion:usconversational

Runs locally from ~110.6 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

Downloads
513
Likes
3
Pipeline
image-text-to-text

Repository Files & Downloads

14 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
OvisOCR2.BF16.ggufGGUFGGUF1.41 GBDownload
OvisOCR2.F16.ggufGGUFGGUF1.41 GBDownload
OvisOCR2.F32.ggufGGUFGGUF2.81 GBDownload
OvisOCR2.Q3_K_L.ggufGGUFGGUF468.6 MBDownload
OvisOCR2.Q3_K_M.ggufGGUFGGUF444.6 MBDownload
OvisOCR2.Q3_K_S.ggufGGUFGGUF415.2 MBDownload
OvisOCR2.Q4_K_M.ggufGGUFGGUF504.8 MBDownload
OvisOCR2.Q4_K_S.ggufGGUFGGUF481.8 MBDownload
OvisOCR2.Q5_K_M.ggufGGUFGGUF551.2 MBDownload
OvisOCR2.Q5_K_S.ggufGGUFGGUF537.5 MBDownload
OvisOCR2.Q8_0.ggufGGUFGGUF774.2 MBDownload
OvisOCR2.mmproj-bf16.ggufGGUFBF16197.7 MBDownload
OvisOCR2.mmproj-f16.ggufGGUFF16197.7 MBDownload
OvisOCR2.mmproj-q8_0.ggufGGUFQ8_0110.6 MBDownload

Model Details

Model IDprithivMLmods/OvisOCR2-F32-GGUF
AuthorprithivMLmods
Pipelineimage-text-to-text
Licenseapache-2.0
Base modelATH-MaaS/OvisOCR2
Last modified2026-07-22T03:37:09.000Z

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

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