Deploy gemma-4-26B-A4B-it For Low VRAM (6GB/8GB)
The fastest way to get this model running locally is via Docker. Please follow the instructions listed below to get started. Next, run the Docker command to spin up the container. 📦 Hash-sum → b8c4ad1e930a4b3ed657a962d4ac58ca | 📌 Updated on 2026-06-23VerifyCPU: 8-core / 16-thread recommended for orchestration RAM: required: 16 GB absolute minimum for small models Disk Space: 80 GB NVMe SSD required for fast model weights loading GPU: high memory bandwidth GPU for next-gen local AI pipeline