diff --git a/Cargo.toml b/Cargo.toml
index bc2da5a1..74737aab 100644
--- a/Cargo.toml
+++ b/Cargo.toml
@@ -9,7 +9,7 @@ members = [
 resolver = "2"
 
 [workspace.package]
-version = "2.0.5-dev0"
+version = "2.1.1-dev0"
 edition = "2021"
 authors = ["Olivier Dehaene"]
 homepage = "https://github.com/huggingface/text-generation-inference"
diff --git a/README.md b/README.md
index d60c7cde..cda6d2d7 100644
--- a/README.md
+++ b/README.md
@@ -75,9 +75,11 @@ For a detailed starting guide, please see the [Quick Tour](https://huggingface.c
 
 ```shell
 model=HuggingFaceH4/zephyr-7b-beta
-volume=$PWD/data # share a volume with the Docker container to avoid downloading weights every run
+# share a volume with the Docker container to avoid downloading weights every run
+volume=$PWD/data
 
-docker run --gpus all --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:2.0 --model-id $model
+docker run --gpus all --shm-size 1g -p 8080:80 -v $volume:/data \
+    ghcr.io/huggingface/text-generation-inference:2.1.0 --model-id $model
 ```
 
 And then you can make requests like
@@ -91,7 +93,7 @@ curl 127.0.0.1:8080/generate_stream \
 
 **Note:** To use NVIDIA GPUs, you need to install the [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html). We also recommend using NVIDIA drivers with CUDA version 12.2 or higher. For running the Docker container on a machine with no GPUs or CUDA support, it is enough to remove the `--gpus all` flag and add `--disable-custom-kernels`, please note CPU is not the intended platform for this project, so performance might be subpar.
 
-**Note:** TGI supports AMD Instinct MI210 and MI250 GPUs. Details can be found in the [Supported Hardware documentation](https://huggingface.co/docs/text-generation-inference/supported_models#supported-hardware). To use AMD GPUs, please use `docker run --device /dev/kfd --device /dev/dri --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:2.0-rocm --model-id $model` instead of the command above.
+**Note:** TGI supports AMD Instinct MI210 and MI250 GPUs. Details can be found in the [Supported Hardware documentation](https://huggingface.co/docs/text-generation-inference/supported_models#supported-hardware). To use AMD GPUs, please use `docker run --device /dev/kfd --device /dev/dri --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:2.1.0-rocm --model-id $model` instead of the command above.
 
 To see all options to serve your models (in the [code](https://github.com/huggingface/text-generation-inference/blob/main/launcher/src/main.rs) or in the cli):
 ```
diff --git a/docs/source/installation_amd.md b/docs/source/installation_amd.md
index bf7f9c75..fe925e2a 100644
--- a/docs/source/installation_amd.md
+++ b/docs/source/installation_amd.md
@@ -11,7 +11,7 @@ volume=$PWD/data # share a volume with the Docker container to avoid downloading
 docker run --rm -it --cap-add=SYS_PTRACE --security-opt seccomp=unconfined \
     --device=/dev/kfd --device=/dev/dri --group-add video \
     --ipc=host --shm-size 256g --net host -v $volume:/data \
-    ghcr.io/huggingface/text-generation-inference:2.0.4-rocm \
+    ghcr.io/huggingface/text-generation-inference:2.1.0-rocm \
     --model-id $model
 ```
 
diff --git a/docs/source/installation_nvidia.md b/docs/source/installation_nvidia.md
index 9077f7fd..11c41763 100644
--- a/docs/source/installation_nvidia.md
+++ b/docs/source/installation_nvidia.md
@@ -11,7 +11,7 @@ model=teknium/OpenHermes-2.5-Mistral-7B
 volume=$PWD/data # share a volume with the Docker container to avoid downloading weights every run
 
 docker run --gpus all --shm-size 64g -p 8080:80 -v $volume:/data \
-    ghcr.io/huggingface/text-generation-inference:2.0.4 \
+    ghcr.io/huggingface/text-generation-inference:2.1.0 \
     --model-id $model
 ```
 
diff --git a/docs/source/quicktour.md b/docs/source/quicktour.md
index b84de85d..09e56df4 100644
--- a/docs/source/quicktour.md
+++ b/docs/source/quicktour.md
@@ -11,7 +11,7 @@ model=teknium/OpenHermes-2.5-Mistral-7B
 volume=$PWD/data # share a volume with the Docker container to avoid downloading weights every run
 
 docker run --gpus all --shm-size 1g -p 8080:80 -v $volume:/data \
-    ghcr.io/huggingface/text-generation-inference:2.0.4 \
+    ghcr.io/huggingface/text-generation-inference:2.1.0 \
     --model-id $model
 ```
 
@@ -88,7 +88,7 @@ curl 127.0.0.1:8080/generate \
 To see all possible deploy flags and options, you can use the `--help` flag. It's possible to configure the number of shards, quantization, generation parameters, and more.
 
 ```bash
-docker run ghcr.io/huggingface/text-generation-inference:2.0.4 --help
+docker run ghcr.io/huggingface/text-generation-inference:2.1.0 --help
 ```
 
 </Tip>