Offloaders

🧾 Hash-sum — e93636b53f3d3084169b54bc7cde5c9f • 🗓 Updated on: 2026-07-18VerifyProcessor: next-gen chip for heavy context processing RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: at least 100 GB for multiple local LLM variants GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats ...

💾 File hash: f9f7b89c8c0aa663b0067898c8081399 (Update date: 2026-07-21)VerifyCPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: required: fast PCIe 4.0 drive for instant boots Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading ...

📦 Hash-sum → 88bd858593b0c5f352273eb212e0f567 | 📌 Updated on 2026-07-22VerifyProcessor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: 100 GB for multi-modal model vision components Graphics: stable 30+ tk/s at 4-bit quantization on medium...

📄 Hash Value: e5694654a03a9727ee98b80c6237753a | 📆 Update: 2026-07-17VerifyProcessor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: high-speed DDR5 memory preferred for CPU offloading Disk: high-speed SSD 120 GB to cache model layers Graphics: stable 30+ tk/s at 4-bit quantization on medium setup Taking...