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Soulfate24/PaddleOCR-VL-1.6-ASHQ1-Remix-GGUF overview

PaddleOCR VL 1.6 ASHQ1 Remix This is a GGUF quantized version of the original model. ๐Ÿ“ˆ Release Benchmarks wiki.test.raw, symmetric FA auto reference | Model |โ€ฆ

PaddleOCRggufERNIE4.5PaddlePaddleimage-to-textocrdocument-parselayouttableformulachartsealspottingquantizationashq1imatriximage-text-to-textenzhmultilingualbase_model:PaddlePaddle/PaddleOCR-VL-1.6base_model:quantized:PaddlePaddle/PaddleOCR-VL-1.6license:apache-2.0endpoints_compatible

Runs locally from ~0.7 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

Downloads
588
Likes
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Pipeline
image-text-to-text

Repository Files & Downloads

6 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
imatrix.ggufGGUFGGUF0.7 MBDownload
mmproj-ASHQ1-Balanced-72pc.ggufGGUFGGUF593.1 MBDownload
model-ASHQ1-Fidelity-48pc.ggufGGUFGGUF430.2 MBDownload
model-ASHQ1-Precision-42pc.ggufGGUFGGUF391.9 MBDownload
model-ASHQ1-Quality-36pc.ggufGGUFGGUF325.7 MBDownload
model-Q8_0.ggufGGUFQ8_0475.2 MBDownload

Model Details

Model IDSoulfate24/PaddleOCR-VL-1.6-ASHQ1-Remix-GGUF
AuthorSoulfate24
Pipelineimage-text-to-text
Licenseapache-2.0
Base modelPaddlePaddle/PaddleOCR-VL-1.6
Last modified2026-09-11T07:44:36.000Z

Model README

---

license: apache-2.0

pipeline_tag: image-text-to-text

language:

- en

- zh

- multilingual

library_name: PaddleOCR

base_model:

- PaddlePaddle/PaddleOCR-VL-1.6

tags:

- ERNIE4.5

- PaddleOCR

- PaddlePaddle

- image-to-text

- ocr

- document-parse

- layout

- table

- formula

- chart

- seal

- spotting

- quantization

- gguf

- ashq1

- imatrix

---

PaddleOCR-VL-1.6 - ASHQ1-Remix

This is a GGUF quantized version of the original model.

๐Ÿ“ˆ Release Benchmarks (wiki.test.raw, symmetric FA-auto reference)

| Model | Size | PPL | KLD | RMS ฮ”p | top-p | Speed |

| :--- | ---: | ---: | ---: | ---: | ---: | ---: |

| Q8_0 (stock) | 475 MiB | 544.1185 | 0.0178 | 1.67% | 91.6% | 7314 t/s |

| Fidelity-48pc ๐Ÿฅˆ | 430 MiB | 556.6220 | 0.0650 | 2.94% | 87.0% | 7314 t/s |

| Precision-42pc | 392 MiB | 522.0295โ€  | 0.0686 | 3.56% | 83.4% | 7314 t/s |

| Q6_K-imx (stock) | 367 MiB | 522.3200โ€  | 0.0694 | 3.57% | 83.2% | 7314 t/s |

| Quality-36pc | 326 MiB | 604.4922 | 0.1388 | 4.57% | 76.6% | 6400 t/s |

| Q5_K_M-imx (stock) | 326 MiB | 604.4922 | 0.1388 | 4.57% | 76.6% | 7314 t/s |

| IQ4_XS-imx (stock) | 269 MiB | 606.9490 | 0.5280 | 9.29% | 61.8% | 6400 t/s |

| IQ3_M-imx (stock) | 239 MiB | 768.5256 | 1.0750 | 14.12% | 47.4% | 6400 t/s |

โ„น๏ธ About ASHQ1-Remix Suite

Activation-aware GGUF quantization whose every ratio, floor, and cap traces to a measured experiment. Plain-BF16-native first; AutoRound lineage supported with explicit saturation bounds. Full seven-tier ladder validated across six model families.

๐Ÿ”— Link: https://huggingface.co/Soulfate24/AutoRound-ASHQ1-Remix_Double-Quantization_Suite

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