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Run Qianfan-VL-8B on Lium
Baidu · Vision and text · 8.8B parameters · 17.6 GB BF16 weights · released 2025-09-16
It needs about 22 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
How to run it
Rent the pod above, open a terminal over SSH or Jupyter and serve baidu/Qianfan-VL-8B:
vllm serve baidu/Qianfan-VL-8BClaude Code and Codex can do all of it through the Lium CLI.
Frequently asked questions
How much VRAM does Qianfan-VL-8B need?
About 17.6 GB for the released BF16 weights, so plan on 22 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 Qianfan-VL-8B?
RTX 3090 (24 GB). On Lium that setup costs from $0.19 per hour, billed per second with no minimum.
For AI agents (CLI install, agent skill, headless signup): llms-full.txt