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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 | Tier | 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 ~323.6 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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Pipeline
image-text-to-text

Repository Files & Downloads

8 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
mmproj-ASHQ1-Balanced-72pc.ggufGGUFGGUF593.1 MBDownload
model-ASHQ1-Compact-33pc.ggufGGUFGGUF403.5 MBDownload
model-ASHQ1-Fidelity-48pc.ggufGGUFGGUF537.3 MBDownload
model-ASHQ1-Mini-30pc.ggufGGUFGGUF377.6 MBDownload
model-ASHQ1-Nano-27pc.ggufGGUFGGUF350.6 MBDownload
model-ASHQ1-Pico-24pc.ggufGGUFGGUF323.6 MBDownload
model-ASHQ1-Precision-42pc.ggufGGUFGGUF484.3 MBDownload
model-ASHQ1-Quality-36pc.ggufGGUFGGUF430.4 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 modified2026-08-30T13:10:29.000Z

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)

| Tier | Size | PPL | KLD | RMS ฮ”p | top-p |

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

| Fidelity-48pc | 537 MiB | 365.8789 | 0.0366 | 2.99% | 91.1% |

| Precision-42pc โญ Recommended | 484 MiB | 362.9912 | 0.0337 | 2.57% | 91.5% |

| Quality-36pc | 430 MiB | 400.7598 | 0.1747 | 5.72% | 80.7% |

| Compact-33pc | 404 MiB | 351.6550 | 0.2320 | 6.82% | 77.3% |

| Mini-30pc | 378 MiB | 333.6259 | 0.2712 | 7.33% | 74.7% |

| Nano-27pc | 351 MiB | 385.6355 | 0.2612 | 7.73% | 72.5% |

| Pico-24pc | 324 MiB | 509.1721 | 0.5632 | 11.01% | 63.5% |

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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