> For the complete documentation index, see [llms.txt](https://ai-docs.fptcloud.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ai-docs.fptcloud.com/fpt-gpu-cloud/gpu-container/use-cases/vllm-use-case.md).

# vLLM Use Case

**Step 1:** Create a GPU Container using vllm-openai template&#x20;

* In the Environment Variables field, customize the value to match the API key (use for inferencing request) and your Hugging Face token to download model from Hugging Face.&#x20;
* In this tutorial, we are using Deepseek-R1-Distill-Qwen-1.5B. Please replace the value of MODEL with any other model you prefer for inference.&#x20;

<figure><img src="/files/XKXXqEsilgnlKGd2NVaZ" alt=""><figcaption></figcaption></figure>

**Step 2**: Testing using Postman. Use your API\_Token added in Step 1 to authorize&#x20;

<figure><img src="/files/ql7o6lcabjkyI1tFoo8n" alt=""><figcaption></figcaption></figure>

<figure><img src="/files/wdVjPAoAkBV4RqaLcxFh" alt=""><figcaption></figcaption></figure>


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