diff --git a/Cargo.lock b/Cargo.lock
index 01e4703e..afbba0de 100644
--- a/Cargo.lock
+++ b/Cargo.lock
@@ -326,7 +326,7 @@ dependencies = [
 
 [[package]]
 name = "backend-grpc-client"
-version = "1.6.1"
+version = "1.7.0"
 dependencies = [
  "grpc-metadata",
  "prost 0.11.9",
@@ -4436,7 +4436,7 @@ dependencies = [
 
 [[package]]
 name = "text-embeddings-backend"
-version = "1.6.1"
+version = "1.7.0"
 dependencies = [
  "clap",
  "hf-hub",
@@ -4452,7 +4452,7 @@ dependencies = [
 
 [[package]]
 name = "text-embeddings-backend-candle"
-version = "1.6.1"
+version = "1.7.0"
 dependencies = [
  "accelerate-src",
  "anyhow",
@@ -4482,7 +4482,7 @@ dependencies = [
 
 [[package]]
 name = "text-embeddings-backend-core"
-version = "1.6.1"
+version = "1.7.0"
 dependencies = [
  "clap",
  "nohash-hasher",
@@ -4491,7 +4491,7 @@ dependencies = [
 
 [[package]]
 name = "text-embeddings-backend-ort"
-version = "1.6.1"
+version = "1.7.0"
 dependencies = [
  "anyhow",
  "ndarray",
@@ -4507,7 +4507,7 @@ dependencies = [
 
 [[package]]
 name = "text-embeddings-backend-python"
-version = "1.6.1"
+version = "1.7.0"
 dependencies = [
  "backend-grpc-client",
  "nohash-hasher",
@@ -4521,7 +4521,7 @@ dependencies = [
 
 [[package]]
 name = "text-embeddings-core"
-version = "1.6.1"
+version = "1.7.0"
 dependencies = [
  "async-channel",
  "hf-hub",
@@ -4536,7 +4536,7 @@ dependencies = [
 
 [[package]]
 name = "text-embeddings-router"
-version = "1.6.1"
+version = "1.7.0"
 dependencies = [
  "anyhow",
  "async-stream",
diff --git a/docs/source/en/quick_tour.md b/docs/source/en/quick_tour.md
index 5c021ee8..16973b5c 100644
--- a/docs/source/en/quick_tour.md
+++ b/docs/source/en/quick_tour.md
@@ -23,7 +23,7 @@ The easiest way to get started with TEI is to use one of the official Docker con
 
 Hence one needs to install Docker following their [installation instructions](https://docs.docker.com/get-docker/).
 
-TEI supports inference both on GPU and CPU. If you plan on using a GPU, make sure to check that your hardware is supported by checking [this table](https://github.com/huggingface/text-embeddings-inference?tab=readme-ov-file#docker-images). 
+TEI supports inference both on GPU and CPU. If you plan on using a GPU, make sure to check that your hardware is supported by checking [this table](https://github.com/huggingface/text-embeddings-inference?tab=readme-ov-file#docker-images).
 Next, install the [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html). NVIDIA drivers on your device need to be compatible with CUDA version 12.2 or higher.
 
 ## Deploy