- Home
- Open models
- Qwen3-4B
>>
Run Qwen3-4B on Lium
Alibaba Qwen · Text generation · 4B parameters · 8 GB BF16 weights · released 2025-04-27
It needs about 10 GB of VRAM. The cheapest setup that runs it is RTX 3090 (24 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 Qwen/Qwen3-4B:
vllm serve Qwen/Qwen3-4BClaude Code and Codex can do all of it through the Lium CLI.
Frequently asked questions
How much VRAM does Qwen3-4B need?
About 8 GB for the released BF16 weights, so plan on 10 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 Qwen3-4B?
RTX 3090 (24 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