Merge pull request #159 from VectorInstitute/XkunW-patch-2

Bump vLLM version in docs

Author: XkunW

README.md

@@ -20,7 +20,7 @@ If you are using the Vector cluster environment, and you don't need any customiz
 ```bash
 pip install vec-inf
 ```
-Otherwise, we recommend using the provided [`Dockerfile`](Dockerfile) to set up your own environment with the package. The latest image has `vLLM` version `0.10.1.1`.
+Otherwise, we recommend using the provided [`Dockerfile`](Dockerfile) to set up your own environment with the package. The latest image has `vLLM` version `0.11.0`.
 
 If you'd like to use `vec-inf` on your own Slurm cluster, you would need to update the configuration files, there are 3 ways to do it:
 * Clone the repository and update the `environment.yaml` and the `models.yaml` file in [`vec_inf/config`](vec_inf/config/), then install from source by running `pip install .`.

docs/index.md

@@ -12,7 +12,7 @@ If you are using the Vector cluster environment, and you don't need any customiz
 pip install vec-inf
 ```
 
-Otherwise, we recommend using the provided [`Dockerfile`](https://github.com/VectorInstitute/vector-inference/blob/main/Dockerfile) to set up your own environment with the package. The latest image has `vLLM` version `0.10.1.1`.
+Otherwise, we recommend using the provided [`Dockerfile`](https://github.com/VectorInstitute/vector-inference/blob/main/Dockerfile) to set up your own environment with the package. The latest image has `vLLM` version `0.11.0`.
 
 If you'd like to use `vec-inf` on your own Slurm cluster, you would need to update the configuration files, there are 3 ways to do it:
 * Clone the repository and update the `environment.yaml` and the `models.yaml` file in [`vec_inf/config`](https://github.com/VectorInstitute/vector-inference/blob/main/vec_inf/config), then install from source by running `pip install .`.