diff --git a/README.md b/README.md
index 355a70e..886931d 100644
--- a/README.md
+++ b/README.md
@@ -8,18 +8,14 @@ To run a pre-built container (CUDA 11.7):
 $ docker run --gpus=all -e COQUI_TOS_AGREED=1 --rm -p 8000:80 ghcr.io/coqui-ai/xtts-streaming-server:latest
 ```
 
-CUDA 11.8 version (for newer cards, tested on 4060)
+CUDA 11.8 version (for newer cards, tested on 4060 and L4 instance)
 ```bash
 $ docker run --gpus=all -e COQUI_TOS_AGREED=1 --rm -p 8000:80  ghcr.io/coqui-ai/xtts-streaming-server:latest-cuda118
 ```
 
 If you have already downloaded v1.1 model and like to use this server, and using Ubuntu, change your /home/YOUR_USER_NAME
 ```bash
-$ docker run \ 
-   -v /home/YOUR_USER_NAME/.local/share/tts/tts_models--multilingual--multi-dataset--xtts_v1.1:/root/.local/share/tts/tts_models--multilingual--multi-dataset--xtts_v1.1 \ 
-   --env NVIDIA_DISABLE_REQUIRE=1  # When set 1 cuda 11.7 driver will run this container
-   --gpus=all -e COQUI_TOS_AGREED=1 
-   --rm -p 8000:80 ghcr.io/coqui-ai/xtts-streaming-server:latest-cuda118`
+$ docker run -v /home/YOUR_USER_NAME/.local/share/tts/tts_models--multilingual--multi-dataset--xtts_v1.1:/root/.local/share/tts/tts_models--multilingual--multi-dataset--xtts_v1.1 --env NVIDIA_DISABLE_REQUIRE=1 --gpus=all -e COQUI_TOS_AGREED=1  --rm -p 8000:80 ghcr.io/coqui-ai/xtts-streaming-server:latest-cuda118`
 ```
 Setting the `COQUI_TOS_AGREED` environment variable to `1` indicates you have read and agreed to
 the terms of the [CPML license](https://coqui.ai/cpml).
@@ -36,12 +32,17 @@ $ python test_streaming.py
 
 ## Building the container
 
-1. To build the Docker container:
+1. To build the Docker container (Pytorch 2.01 Cuda 11.7) :
 
 ```bash
 $ cd server
 $ docker build -t xtts-stream .
 ```
+For Pytorch 2.1 and CUDA 11.8 version (when running set NVIDIA_DISABLE_REQUIRE=1 if you have Cuda < 11.8 drivers) 
+```bash
+$ cd server
+# docker build -t xtts-stream . -f Dockerfile.cuda118
+```
 2. Run the server container:
 
 ```bash