🛠 Hash code: 311ee37160091aa9e511cdd6a650751c — Last modification: 2026-07-15VerifyProcessor: next-gen chip for heavy context processing RAM: enough space for background apps and OS overhead Disk Space: 100 GB for multi-modal model vision components Graphics:...
🛡️ Checksum: b99568ea55763b381e3ed629a870cd04 — ⏰ Updated on: 2026-07-18VerifyCPU: 8-core / 16-thread recommended for orchestration RAM: enough space for background apps and OS overhead Disk Space: at least 100 GB for multiple local LLM variants GPU: 16 GB+ video...
🧮 Hash-code: d8d289df3c82d58c7c19803aa9f7fe8a • 📆 2026-07-14VerifyCPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space: 80 GB NVMe SSD required for fast model weights loading GPU: modern architecture...
📘 Build Hash: 6bfd6fb6a20d2b628a5df1af57eb854f • 🗓 2026-07-18VerifyProcessor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: 100 GB for multi-modal model vision components Graphics: 12 GB VRAM minimum...
