Category: Adapters


  • The fastest way to get this model running locally is via Docker. Review and follow the instructions below. The installer automatically pulls the model (could be multiple GBs). You don’t need to tweak anything, as the installer will automatically pick the highest performing setup for you. 🧮 Hash-code: f1617e29bb993fd23aa3518da55285e2 • 📆 2026-06-27 Verify CPU: AVX2/AVX-512…

  • Docker offers the quickest path to setting up this model locally. Just follow the guidelines provided below. You can just follow the routine instructions below to get results. 🛡️ Checksum: a19ae2cc52c5ec7568ba8ec8aae6b6eb — ⏰ Updated on: 2026-06-22 Verify CPU: multi-threading optimized for fast prompt processing RAM: 64 GB to avoid OOM crashes on large contexts Disk…