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cstr/paddleocr-vl-1.6-GGUF overview

PaddleOCR VL 1.6 — CrispEmbed GGUF CrispEmbed native GGUF quantizations of PaddlePaddle/PaddleOCR VL 1.6 https://huggingface.co/PaddlePaddle/PaddleOCR VL 1.6 .…

ggufocrdocument-understandingcrispembedpaddleocrmultilingualbase_model:PaddlePaddle/PaddleOCR-VL-1.6base_model:quantized:PaddlePaddle/PaddleOCR-VL-1.6license:apache-2.0region:us

Runs locally from ~1.21 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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Repository Files & Downloads

3 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
paddleocr-vl-1.6-f16.ggufGGUFF162.23 GBDownload
paddleocr-vl-1.6-q4_k.ggufGGUFQ4_K1.21 GBDownload
paddleocr-vl-1.6-q8_0.ggufGGUFQ8_01.38 GBDownload

Model Details

Model IDcstr/paddleocr-vl-1.6-GGUF
Authorcstr
Pipeline
Licenseapache-2.0
Base modelPaddlePaddle/PaddleOCR-VL-1.6
Last modified2026-06-19T09:36:24.000Z

Model README

---

base_model: PaddlePaddle/PaddleOCR-VL-1.6

language:

- multilingual

license: apache-2.0

tags:

- gguf

- ocr

- document-understanding

- crispembed

- paddleocr

---

PaddleOCR-VL-1.6 — CrispEmbed GGUF

CrispEmbed-native GGUF quantizations of PaddlePaddle/PaddleOCR-VL-1.6.

Latest PaddleOCR-VL model with improved accuracy on OmniDocBench (96.3% SOTA). End-to-end VLM-based OCR: text recognition, table extraction, formula recognition, chart understanding. 109+ languages.

Files

| File | Size | Description |

|------|------|-------------|

| paddleocr-vl-1.6-q4_k.gguf | 1.3 GB | 4-bit K-quant — smallest |

| paddleocr-vl-1.6-q8_0.gguf | 1.4 GB | 8-bit quantization — recommended |

| paddleocr-vl-1.6-f16.gguf | 2.3 GB | fp16 reference |

Model

  • Architecture: NaViT-style ViT (27L, 1152d) + ERNIE-4.5-0.3B LLM (18L, 1024d, 16/2 GQA, MRoPE, SwiGLU)
  • Parameters: ~0.9B (same architecture as PaddleOCR-VL-0.9B, improved training)
  • OmniDocBench: 96.3% (SOTA)
  • Languages: 109+ (multilingual)
  • License: Apache 2.0

Usage

./crispembed -m paddleocr-vl-1.6-q8_0.gguf --ocr document.png

License

Apache 2.0

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