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Run Qwen3-8B on Lium

Alibaba Qwen · Text generation · 8.2B parameters · 16.4 GB BF16 weights · released 2025-04-27
It needs about 20 GB of VRAM. The cheapest setup that runs it is RTX 3090 (24 GB), from $0.19 per hour, billed per second.

Other GPUs that run it

RTX PRO 4000 Blackwell24 GBfrom $0.40 / hourRent
2x Tesla V10032 GBfrom $0.42 / hourRent

How to run it

Rent the pod above, open a terminal over SSH or Jupyter and serve Qwen/Qwen3-8B:
vllm serve Qwen/Qwen3-8B
Claude Code and Codex can do all of it through the Lium CLI.

Frequently asked questions

How much VRAM does Qwen3-8B need?

About 16.4 GB for the released BF16 weights, so plan on 20 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 Qwen3-8B?

RTX 3090 (24 GB). On Lium that setup costs from $0.19 per hour, billed per second with no minimum.
All open models
For AI agents (CLI install, agent skill, headless signup): llms-full.txt