🔍 Hash-sum: 77133b2250b2d1ee16b2178d685c6837 | 🕓 Last update: 2026-07-22 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space:70 GB free space for full FP16 weights storage Graphics: TensorRT-LLM / vLLM inference engine compatible chip The Cutting-Edge of Language Models Qwen3.5-122B-A10B

📤 Release Hash: d2d519f963100934cd9d624aafcc2794 • 📅 Date: 2026-07-19 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk: high-speed SSD 120 GB to cache model layers Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading The Gemma-4-E2B-It