APIs
📊 File Hash: dacf42d4a184980940c5886b0af64118 — Last update: 2026-07-22 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: fast 5600MHz+ required to avoid memory bottlenecks Storage: extra room for future model updates and datasets GPU: 16 GB+ video memory highly recommended
📎 HASH: 859f67d05782609aa18fc39bfab349ea | Updated: 2026-07-17 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: required: fast PCIe 4.0 drive for instant boots Graphic Processor: hardware
📦 Hash-sum → f4ed54af7671cffbf53716cfca5d338f | 📌 Updated on 2026-07-15 Verify Processor: high single-core performance needed for token latency RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: free: 80 GB on system drive for scratch space Graphics: 12 GB
📎 HASH: 46642b9a87624964d4a9f1d7b51580e5 | Updated: 2026-07-14 Verify CPU: multi-threading optimized for fast prompt processing RAM: 32 GB or higher for smooth 32k context lengths Disk Space: 100 GB for multi-modal model vision components GPU: high memory bandwidth GPU for next-gen
