📦 Hash-sum → 164ef401b069e2dfa4616b262a050a9c | 📌 Updated on 2026-07-16VerifyCPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: 32 GB or higher for smooth 32k context lengths Disk Space: 80 GB NVMe SSD required for fast model

📄 Hash Value: ef9fee7ff1a631d7d77fdc0b7dcfdc8f | 📆 Update: 2026-07-17VerifyCPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: high-speed DDR5 memory preferred for CPU offloading Storage:100 GB free space for HuggingFace cache folder GPU: 16 GB+ video memory

🗂 Hash: 6f1aa60ad0fc802632656db43115be91 • Last Updated: 2026-07-21VerifyProcessor: high single-core performance needed for token latency RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space:70 GB free space for full FP16 weights storage Graphics: CUDA Compute Capability 8.0+

📊 File Hash: 54c3b4ed3659d30cf5ca890e45f1c262 — Last update: 2026-07-20VerifyProcessor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: at least 100 GB for multiple local LLM variants GPU:

🧾 Hash-sum — be33890aa70e077c2288de68fd2fbf30 • 🗓 Updated on: 2026-07-13VerifyCPU: multi-threading optimized for fast prompt processing RAM: high-speed DDR5 memory preferred for CPU offloading Storage:100 GB free space for HuggingFace cache folder GPU: RTX 4080 / RTX 4090

📊 File Hash: 3250c852a9830ab2f598aa301b75695e — Last update: 2026-07-13VerifyProcessor: 6-core 3.5 GHz minimum required RAM: required: 16 GB absolute minimum for small models Disk Space: free: 80 GB on system drive for scratch space Graphics: 12 GB VRAM

🗂 Hash: 59fb304be077097155044466ab97d0d1 • Last Updated: 2026-07-12VerifyProcessor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: 80 GB NVMe SSD required for fast model

🛡️ Checksum: d62c187a74b5dca262bd90a94714df04 — ⏰ Updated on: 2026-07-12VerifyCPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: enough space for background apps and OS overhead Disk Space: required: fast PCIe 4.0 drive for instant boots GPU: modern architecture (Ada

Setting up this model locally is incredibly fast if you use the native CMD prompt. Refer to the instructions below to proceed. All large files and heavy weights are downloaded automatically by the script. To save you time, the system

Deploying locally takes the least amount of time when executed through native OS tools. Simply follow the directions outlined below. No manual effort needed; the setup auto-ingests the large data. You don't need to tweak anything; the installer picks the