EXL2
📦 Hash-sum → 9a24e60333c882764d40421797058143 | 📌 Updated on 2026-07-20 Verify CPU: multi-threading optimized for fast prompt processing RAM: 64 GB to avoid OOM crashes on large contexts Disk: 150+ GB for high-context vector database storage GPU: modern architecture (Ada Lovelace…
🧮 Hash-code: 6ced215d1881aaeb679d79031828a34a • 📆 2026-07-16 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: required: 16 GB absolute minimum for small models Disk Space: 80 GB NVMe SSD required for fast model weights loading Graphic Processor:…
🖹 HASH-SUM: f1639aa86827538e3ed0459033c65b44 | 📅 Updated on: 2026-07-20 Verify Processor: next-gen chip for heavy context processing RAM: minimum 16 GB for stable 8B model loading Storage:100 GB free space for HuggingFace cache folder Graphic Processor: hardware Tensor Cores support needed…
🔗 SHA sum: 833f751dc6f9394dbf6a41b997f1dad7 | Updated: 2026-07-20 Verify Processor: high single-core performance needed for token latency RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: free: 80 GB on system drive for scratch space GPU: RTX 4080…
🖹 HASH-SUM: 1a3e9f9a841362bdff13caaecdb0f6b6 | 📅 Updated on: 2026-07-20 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: free: 80 GB on system drive for scratch…
