Abiray / Qianfan-OCR-GGUF

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Total runs: 307
24-hour runs: -29
7-day runs: -71
30-day runs: -51
Model's Last Updated: March 20 2026
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Introduction of Qianfan-OCR-GGUF

Model Details of Qianfan-OCR-GGUF

Model Card for Qianfan-OCR-4B-GGUF

This repository contains GGUF format quantizations (Q4_K_M, Q5_K_M, Q6_K, Q8_0) of Qianfan-OCR , a 4B-parameter end-to-end document intelligence model developed by the Baidu Qianfan Team. It unifies document parsing, layout analysis, and document understanding within a single vision-language architecture.

Model Details
Model Description

Qianfan-OCR is designed to replace traditional multi-stage OCR pipelines. Instead of chaining separate layout detection and text recognition modules, it performs direct image-to-Markdown conversion. It introduces Layout-as-Thought , an optional thinking phase where the model generates structured layout representations before producing the final output.

  • Developed by: Baidu Qianfan Team
  • Shared by: Abhiray
  • Model type: Multimodal Vision-Language Model (VLM)
  • Text Backbone: Qwen3-4B
  • Vision Encoder: Qianfan-ViT (AnyResolution up to 4K)
  • Language(s) (NLP): Multilingual (192 languages supported)
  • License: Apache-2.0
Model Sources
Uses
Direct Use
  • Document Parsing: High-fidelity Image-to-Markdown conversion.
  • Table/Formula Recognition: Extracting complex tables (merged cells) and LaTeX formulas.
  • Key Information Extraction (KIE): Structured data extraction from receipts, invoices, and IDs.
  • Visual Question Answering (DocVQA): Reasoning over charts, graphs, and structured documents.
Out-of-Scope Use
  • The model is not intended for generating creative fiction or conversational roleplay; it is optimized for high-accuracy document intelligence and visual grounding.
How to Get Started with the Model
1. Requirements

You need both a Quantized Model File ( .gguf ) and the Vision Projector ( qianfan-ocr-mmproj.gguf ).

2. Running with Koboldcpp (Recommended)
./koboldcpp \
  --model qianfan-ocr-4b-Q4_K_M.gguf \
  --mmproj qianfan-ocr-mmproj.gguf \
  --usecuda 0 \
  --gpulayers 99 \
  --contextsize 8192 \
  --remotetunnel

Runs of Abiray Qianfan-OCR-GGUF on huggingface.co

307
Total runs
-29
24-hour runs
-14
3-day runs
-71
7-day runs
-51
30-day runs

More Information About Qianfan-OCR-GGUF huggingface.co Model

More Qianfan-OCR-GGUF license Visit here:

https://choosealicense.com/licenses/apache-2.0

Qianfan-OCR-GGUF huggingface.co

Qianfan-OCR-GGUF huggingface.co is an AI model on huggingface.co that provides Qianfan-OCR-GGUF's model effect (), which can be used instantly with this Abiray Qianfan-OCR-GGUF model. huggingface.co supports a free trial of the Qianfan-OCR-GGUF model, and also provides paid use of the Qianfan-OCR-GGUF. Support call Qianfan-OCR-GGUF model through api, including Node.js, Python, http.

Qianfan-OCR-GGUF huggingface.co Url

https://huggingface.co/Abiray/Qianfan-OCR-GGUF

Abiray Qianfan-OCR-GGUF online free

Qianfan-OCR-GGUF huggingface.co is an online trial and call api platform, which integrates Qianfan-OCR-GGUF's modeling effects, including api services, and provides a free online trial of Qianfan-OCR-GGUF, you can try Qianfan-OCR-GGUF online for free by clicking the link below.

Abiray Qianfan-OCR-GGUF online free url in huggingface.co:

https://huggingface.co/Abiray/Qianfan-OCR-GGUF

Qianfan-OCR-GGUF install

Qianfan-OCR-GGUF is an open source model from GitHub that offers a free installation service, and any user can find Qianfan-OCR-GGUF on GitHub to install. At the same time, huggingface.co provides the effect of Qianfan-OCR-GGUF install, users can directly use Qianfan-OCR-GGUF installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Qianfan-OCR-GGUF install url in huggingface.co:

https://huggingface.co/Abiray/Qianfan-OCR-GGUF

Url of Qianfan-OCR-GGUF

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