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Run gemma-4-E2B-it on Lium
Google · Multimodal · 5.1B parameters · 10.2 GB BF16 weights · released 2026-03-02
It needs about 13 GB of VRAM. The cheapest setup that runs it is RTX A4500 (20 GB), from $0.16 per hour, billed per second.
Other GPUs that run it
How to run it
Rent the pod above, open a terminal over SSH or Jupyter and serve google/gemma-4-E2B-it:
vllm serve google/gemma-4-E2B-itClaude Code and Codex can do all of it through the Lium CLI.
Frequently asked questions
How much VRAM does gemma-4-E2B-it need?
About 10.2 GB for the released BF16 weights, so plan on 13 GB with room for activations and KV cache at a short context. Longer contexts and bigger batches need more.
What GPU should I rent to run gemma-4-E2B-it?
RTX A4500 (20 GB). On Lium that setup costs from $0.16 per hour, billed per second with no minimum.
For AI agents (CLI install, agent skill, headless signup): llms-full.txt