Covers edge models e2b and e4b (8gb vram), the 27b moe, and the 31b dense model using ollama and llama.cpp. For more technical details on gemma 4, see the model card. You can download gemma 4 models from kaggle and hugging face.
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Download free, compare benchmarks, and build with the gemma api. Head over to the medgemma model page and accept the usage conditions. If you don't already have a hugging face account, you can create one for free by clicking here.
Earlier versions of gemma core models are also available.
Gemma 4 is the fourth generation of google deepmind's family of open models. We’re on a journey to advance and democratize artificial intelligence through open source and open science. Complete guide to running google's gemma 4 family locally in 2026. Explore gemma 4, google’s advanced open model family for reasoning, multimodal ai, long context, and developer workflows.
A practical vram table for gemma 4 e2b, e4b, 26b a4b, and 31b across common gguf quantization levels, including file size, minimum vram, and safer vram targets.
