LunarOilRig/PaddleOCR-VL-1.6-GGUF-Q4 overview
PaddleOCR VL 1.6, quantized GGUF Quantized GGUF of PaddlePaddle/PaddleOCR VL 1.6 https://huggingface.co/PaddlePaddle/PaddleOCR VL 1.6 , for running in the brow…
Runs locally from ~286.3 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
Model Details
| Model ID | LunarOilRig/PaddleOCR-VL-1.6-GGUF-Q4 |
|---|---|
| Author | LunarOilRig |
| Pipeline | — |
| License | apache-2.0 |
| Base model | PaddlePaddle/PaddleOCR-VL-1.6 |
| Last modified | 2026-07-28T20:59:37.000Z |
Model README
---
license: apache-2.0
base_model: PaddlePaddle/PaddleOCR-VL-1.6
tags:
- gguf
- ocr
- paddleocr
library_name: gguf
---
PaddleOCR-VL 1.6, quantized GGUF
Quantized GGUF of PaddlePaddle/PaddleOCR-VL-1.6,
for running in the browser via wllama.
The official PaddleOCR-VL-1.6-GGUF
release is F16 and totals 1.73 GB. This one is 856 MB with no measurable
difference in output.
| file | size | what it is |
| --- | --- | --- |
| PaddleOCR-VL-1.6-Q4_K_M.gguf | 286 MB | decoder |
| mmproj-Q8_0.gguf | 570 MB | vision projector |
Both files are required.
Usage
llama-mtmd-cli -m PaddleOCR-VL-1.6-Q4_K_M.gguf --mmproj mmproj-Q8_0.gguf \
--image crop.png -p "OCR:" --jinja --temp 0
Use the prompt OCR:. The model expects a crop of a single text region.
Quantization
Decoder: llama-quantize Q4_K_M from the official F16 GGUF.
Projector: convert_hf_to_gguf.py --mmproj --outtype q8_0 from the safetensors
release (llama.cpp b10150).
The upstream vision config declares SiglipVisionModel; the converter's mmproj
path expects PaddleOCRVisionModel, so that field was renamed before
converting. No weights were altered.
Checked against the F16 originals on Japanese, Korean and Chinese comic pages;
output was character-identical.
Licence
Apache-2.0, inherited from PaddleOCR-VL.
Run LunarOilRig/PaddleOCR-VL-1.6-GGUF-Q4 with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models