# vLLM

vLLM is a fast and easy-to-use library for LLM inference and serving with an OpenAI-compatible API. Use it to run large language models on your own hardware.

## Dependencies

None, but requires a GPU node in your cluster.

## Configuration

Key settings configured through your instance's `config.yaml`:

- **model** - Hugging Face model to serve (default: `Qwen/Qwen2.5-7B-Instruct`)
- **maxModelLen** - Maximum sequence length (default: `8192`)
- **gpuProduct** - Required GPU type (default: `RTX 4090`)
- **gpuCount** - Number of GPUs to use (default: `1`)
- **gpuMemoryUtilization** - Fraction of GPU memory to use (default: `0.9`)
- **domain** - Where the API will be accessible (default: `vllm.{your-cloud-domain}`)

## Access

After deployment, the OpenAI-compatible API will be available at:
- `https://vllm.{your-cloud-domain}/v1`

Other apps on the cluster (such as Open WebUI) can connect internally at `http://vllm-service.llm.svc.cluster.local:8000/v1`.

## Hardware Requirements

This app requires a GPU node in your cluster. Adjust the `gpuProduct`, `gpuCount`, and memory settings to match your available hardware.