The most rapid route to a local installation of this model is through WSL2.
Make sure to follow the instructions below.
The engine will automatically fetch large dependencies in the background.
Without any user input, the software calibrates parameters for optimal hardware usage.
The PaddleOCR-VL-1.6-GGUF is a state‑of‑the‑art vision‑language model designed for high‑accuracy optical character recognition in multilingual documents. It leverages a transformer‑based encoder‑decoder architecture that jointly processes text and layout information, enabling robust recognition of curved and distorted scripts. The model supports over 100 languages and can handle a wide range of document types, from printed books to handwritten notes. Its quantized GGUF format ensures efficient inference on consumer‑grade hardware while maintaining competitive performance metrics. A built‑in language detection module automatically identifies the script, reducing preprocessing overhead. Users can integrate the model into existing pipelines via simple API calls, benefiting from its low memory footprint and fast loading times.
| Model Name | PaddleOCR-VL-1.6-GGUF |
| Architecture | Transformer‑based encoder‑decoder |
| Supported Languages | 100+ |
| Input Resolution | 1024×1024 pixels |
| Parameter Count | 1.6 B |
| Quantization | GGUF (Q4_K_M) |
| Hardware Requirements | CPU/GPU with ≥4 GB VRAM |
| License | Apache 2.0 |
- Setup utility enabling DirectML execution paths for modern Arc GPUs
- PaddleOCR-VL-1.6-GGUF
- Script downloading local controlnet models for image generation
- Quick Run PaddleOCR-VL-1.6-GGUF Locally via LM Studio One-Click Setup No-Code Guide
- Downloader pulling enhanced voice profiles for local Fish-Speech voiceover workflows
- PaddleOCR-VL-1.6-GGUF Windows 11 One-Click Setup Direct EXE Setup Windows

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