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Run Qwen2.5-Coder-7B-Instruct on Lium

Alibaba Qwen · Text generation · 7.6B parameters · 15.2 GB BF16 weights · released 2024-09-17
It needs about 19 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 A600048 GBfrom $0.40 / hourRent
H100 PCIe80 GBfrom $1.79 / hourRent

How to run it

Rent the pod above, open a terminal over SSH or Jupyter and serve Qwen/Qwen2.5-Coder-7B-Instruct:
vllm serve Qwen/Qwen2.5-Coder-7B-Instruct
Claude Code and Codex can do all of it through the Lium CLI.

Frequently asked questions

How much VRAM does Qwen2.5-Coder-7B-Instruct need?

About 15.2 GB for the released BF16 weights, so plan on 19 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 Qwen2.5-Coder-7B-Instruct?

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