forked from Karylab-cklius/vllm
d14e551a53
Signed-off-by: Xianbao QIAN <xianbao.qian@gmail.com> Co-authored-by: Claude <noreply@anthropic.com> Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
Using vLLM
First, vLLM must be installed for your chosen device in either a Python or Docker environment.
Then, vLLM supports the following usage patterns:
- Inference and Serving: Run a single instance of a model.
- Deployment: Scale up model instances for production.
- Training: Train or fine-tune a model.