🧩 Hash sum → 9b2523387cb5636001c4b6e954fb04fd — Update date: 2026-07-19 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk: high-speed SSD 120 GB to cache model

📊 File Hash: 2627a342785531b0a050af37c9bd2418 — Last update: 2026-07-22 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: minimum 16 GB for stable 8B model loading Disk Space: at least 100 GB

📤 Release Hash: 9931500a1564ffbf0a68e20c70d0b0d6 • 📅 Date: 2026-07-20 Verify Processor: high single-core performance needed for token latency RAM: required: 16 GB absolute minimum for small models Disk Space: 100 GB for multi-modal model

🛠 Hash code: 5561330ae1c8c3a17f15e62a55071998 — Last modification: 2026-07-18 Verify Processor: 6-core 3.5 GHz minimum required RAM: required: 16 GB absolute minimum for small models Disk Space: at least 100 GB for multiple local

🔐 Hash sum: f50e74d78ec4f8541ccdb03c80b6d9f2 | 📅 Last update: 2026-07-18 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: 100 GB for multi-modal

🧾 Hash-sum — 1327ddccbd0adadb1474d320fbb21c13 • 🗓 Updated on: 2026-07-18 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: high-speed DDR5 memory preferred for CPU offloading Storage: extra room for future

📎 HASH: a07733ee275f0b4509be84829c74a010 | Updated: 2026-07-22 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: required: 16 GB absolute minimum for small models Storage: extra room for future model updates and datasets Graphic