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Run Llama-4-Scout-17B-16E-Instruct on Lium
Meta · Vision and text · 108.6B parameters · 217.3 GB BF16 weights · released 2025-04-02
It needs about 261 GB of VRAM. The cheapest setup that runs it is 8x L40S (384 GB), from $4.24 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 meta-llama/Llama-4-Scout-17B-16E-Instruct:
vllm serve meta-llama/Llama-4-Scout-17B-16E-Instruct --tensor-parallel-size 8Claude Code and Codex can do all of it through the Lium CLI.
Frequently asked questions
How much VRAM does Llama-4-Scout-17B-16E-Instruct need?
About 217.3 GB for the released BF16 weights, so plan on 261 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 Llama-4-Scout-17B-16E-Instruct?
8x L40S (384 GB). On Lium that setup costs from $4.24 per hour, billed per second with no minimum.
For AI agents (CLI install, agent skill, headless signup): llms-full.txt