💾 File hash: 34d258f3aeaed557599b7f33e4e73535 (Update date: 2026-07-20)VerifyCPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space: free: 80 GB on system drive for scratch space GPU: 16 GB+ video memory highly recommended for exl2...
💾 File hash: d18af04f9580b6681b4641402c616d8e (Update date: 2026-07-15)VerifyProcessor: 4.0 GHz+ boost clock recommended for CPU inference RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: required: fast PCIe 4.0 drive for instant boots GPU: high memory bandwidth GPU for next-gen...
🛡️ Checksum: 04af086d392658def9acb1d6e9f64231 — ⏰ Updated on: 2026-07-19VerifyCPU: 8-core / 16-thread recommended for orchestration RAM: required: 16 GB absolute minimum for small models Disk Space: 100 GB for multi-modal model vision components GPU: 16 GB+ video memory highly recommended for exl2 /...
🧮 Hash-code: e6b5b09bdad5a24dda14c168b2284383 • 📆 2026-07-12VerifyProcessor: 4.0 GHz+ boost clock recommended for CPU inference RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space: at least 100 GB for multiple local LLM variants Graphic Processor: RTX 3060 or RX 6600 for minimum...
🔐 Hash sum: ad6b9686295ce1ff2415cc457de0aabc | 📅 Last update: 2026-07-18VerifyProcessor: 4.0 GHz+ boost clock recommended for CPU inference RAM: minimum 16 GB for stable 8B model loading Storage: extra room for future model updates and datasets Graphics: CUDA Compute Capability 8.0+ required for...
🧩 Hash sum → 49b18ed354f986fecf1445eca02591e1 — Update date: 2026-07-18VerifyProcessor: next-gen chip for heavy context processing RAM: required: 16 GB absolute minimum for small models Storage: extra room for future model updates and datasets Graphics: stable 30+ tk/s at 4-bit quantization on medium...