diff --git a/docs/content/howtos/_index.md b/docs/content/howtos/_index.md
index 95eab2bd07ec..86829ba6416f 100644
--- a/docs/content/howtos/_index.md
+++ b/docs/content/howtos/_index.md
@@ -8,8 +8,7 @@ weight = 9
 
 This section includes LocalAI end-to-end examples, tutorial and how-tos curated by the community and maintained by [lunamidori5](https://github.com/lunamidori5).
 
-- [Setup LocalAI with Docker on CPU]({{%relref "howtos/easy-setup-docker-cpu" %}})
-- [Setup LocalAI with Docker With CUDA]({{%relref "howtos/easy-setup-docker-gpu" %}})
+- [Setup LocalAI with Docker]({{%relref "howtos/easy-setup-docker" %}})
 - [Seting up a Model]({{%relref "howtos/easy-model" %}})
 - [Making Text / LLM requests to LocalAI]({{%relref "howtos/easy-request" %}})
 - [Making Photo / SD requests to LocalAI]({{%relref "howtos/easy-setup-sd" %}})
diff --git a/docs/content/howtos/easy-setup-docker-cpu.md b/docs/content/howtos/easy-setup-docker-cpu.md
deleted file mode 100644
index 6ab882b26789..000000000000
--- a/docs/content/howtos/easy-setup-docker-cpu.md
+++ /dev/null
@@ -1,137 +0,0 @@
-
-+++
-disableToc = false
-title = "Easy Setup - CPU Docker"
-weight = 2
-+++
-
-{{% notice Note %}}
-- You will need about 10gb of RAM Free
-- You will need about 15gb of space free on C drive for ``Docker compose``
-{{% /notice %}}
-
-We are going to run `LocalAI` with `docker compose` for this set up.
-
-Lets setup our folders for ``LocalAI``
-{{< tabs >}}
-{{% tab name="Windows (Batch)" %}}
-```batch
-mkdir "LocalAI"
-cd LocalAI
-mkdir "models"
-mkdir "images"
-```
-{{% /tab %}}
-
-{{% tab name="Linux (Bash / WSL)" %}}
-```bash
-mkdir -p "LocalAI"
-cd LocalAI
-mkdir -p "models"
-mkdir -p "images"
-```
-{{% /tab %}}
-{{< /tabs >}}
-
-At this point we want to set up our `.env` file, here is a copy for you to use if you wish, Make sure this is in the ``LocalAI`` folder.
-
-```bash
-## Set number of threads.
-## Note: prefer the number of physical cores. Overbooking the CPU degrades performance notably.
-THREADS=2
-
-## Specify a different bind address (defaults to ":8080")
-# ADDRESS=127.0.0.1:8080
-
-## Define galleries.
-## models will to install will be visible in `/models/available`
-GALLERIES=[{"name":"model-gallery", "url":"github:go-skynet/model-gallery/index.yaml"}, {"url": "github:go-skynet/model-gallery/huggingface.yaml","name":"huggingface"}]
-
-## Default path for models
-MODELS_PATH=/models
-
-## Enable debug mode
-# DEBUG=true
-
-## Disables COMPEL (Lets Stable Diffuser work, uncomment if you plan on using it)
-# COMPEL=0
-
-## Enable/Disable single backend (useful if only one GPU is available)
-# SINGLE_ACTIVE_BACKEND=true
-
-## Specify a build type. Available: cublas, openblas, clblas.
-BUILD_TYPE=cublas
-
-## Uncomment and set to true to enable rebuilding from source
-# REBUILD=true
-
-## Enable go tags, available: stablediffusion, tts
-## stablediffusion: image generation with stablediffusion
-## tts: enables text-to-speech with go-piper 
-## (requires REBUILD=true)
-#
-#GO_TAGS=tts
-
-## Path where to store generated images
-# IMAGE_PATH=/tmp
-
-## Specify a default upload limit in MB (whisper)
-# UPLOAD_LIMIT
-
-# HUGGINGFACEHUB_API_TOKEN=Token here
-```
-
-
-Now that we have the `.env` set lets set up our `docker-compose` file.
-It will use a container from [quay.io](https://quay.io/repository/go-skynet/local-ai?tab=tags).
-Also note this `docker-compose` file is for `CPU` only.
-
-```docker
-version: '3.6'
-
-services:
-  api:
-    image: quay.io/go-skynet/local-ai:v2.0.0
-    tty: true # enable colorized logs
-    restart: always # should this be on-failure ?
-    ports:
-      - 8080:8080
-    env_file:
-      - .env
-    volumes:
-      - ./models:/models
-      - ./images/:/tmp/generated/images/
-    command: ["/usr/bin/local-ai" ]
-```
-
-
-Make sure to save that in the root of the `LocalAI` folder. Then lets spin up the Docker run this in a `CMD` or `BASH`
-
-```bash
-docker compose up -d --pull always
-```
-
-
-Now we are going to let that set up, once it is done, lets check to make sure our huggingface / localai galleries are working (wait until you see this screen to do this)
-
-You should see:
-```
-┌───────────────────────────────────────────────────┐
-│                   Fiber v2.42.0                   │
-│               http://127.0.0.1:8080               │
-│       (bound on host 0.0.0.0 and port 8080)       │
-│                                                   │
-│ Handlers ............. 1  Processes ........... 1 │
-│ Prefork ....... Disabled  PID ................. 1 │
-└───────────────────────────────────────────────────┘
-```
-
-```bash
-curl http://localhost:8080/models/available
-```
-
-Output will look like this:
-
-![](https://cdn.discordapp.com/attachments/1116933141895053322/1134037542845566976/image.png)
-
-Now that we got that setup, lets go setup a [model]({{%relref "easy-model" %}})
diff --git a/docs/content/howtos/easy-setup-docker-gpu.md b/docs/content/howtos/easy-setup-docker.md
similarity index 82%
rename from docs/content/howtos/easy-setup-docker-gpu.md
rename to docs/content/howtos/easy-setup-docker.md
index 274e9da00be8..f1c40e5bfc19 100644
--- a/docs/content/howtos/easy-setup-docker-gpu.md
+++ b/docs/content/howtos/easy-setup-docker.md
@@ -1,7 +1,7 @@
 
 +++
 disableToc = false
-title = "Easy Setup - GPU Docker"
+title = "Easy Setup - Docker"
 weight = 2
 +++
 
@@ -12,26 +12,13 @@ weight = 2
 
 We are going to run `LocalAI` with `docker compose` for this set up.
 
-Lets Setup our folders for ``LocalAI``
-{{< tabs >}}
-{{% tab name="Windows (Batch)" %}}
+Lets setup our folders for ``LocalAI`` (run these to make the folders for you if you wish)
 ```batch
 mkdir "LocalAI"
 cd LocalAI
 mkdir "models"
 mkdir "images"
 ```
-{{% /tab %}}
-
-{{% tab name="Linux (Bash / WSL)" %}}
-```bash
-mkdir -p "LocalAI"
-cd LocalAI
-mkdir -p "models"
-mkdir -p "images"
-```
-{{% /tab %}}
-{{< /tabs >}}
 
 At this point we want to set up our `.env` file, here is a copy for you to use if you wish, Make sure this is in the ``LocalAI`` folder.
 
@@ -51,7 +38,7 @@ GALLERIES=[{"name":"model-gallery", "url":"github:go-skynet/model-gallery/index.
 MODELS_PATH=/models
 
 ## Enable debug mode
-# DEBUG=true
+DEBUG=true
 
 ## Disables COMPEL (Lets Stable Diffuser work, uncomment if you plan on using it)
 # COMPEL=0
@@ -84,6 +71,32 @@ BUILD_TYPE=cublas
 
 Now that we have the `.env` set lets set up our `docker-compose` file.
 It will use a container from [quay.io](https://quay.io/repository/go-skynet/local-ai?tab=tags).
+
+
+{{< tabs >}}
+{{% tab name="CPU Only" %}}
+Also note this `docker-compose` file is for `CPU` only.
+
+```docker
+version: '3.6'
+
+services:
+  api:
+    image: quay.io/go-skynet/local-ai:{{< version >}}
+    tty: true # enable colorized logs
+    restart: always # should this be on-failure ?
+    ports:
+      - 8080:8080
+    env_file:
+      - .env
+    volumes:
+      - ./models:/models
+      - ./images/:/tmp/generated/images/
+    command: ["/usr/bin/local-ai" ]
+```
+{{% /tab %}}
+
+{{% tab name="GPU and CPU" %}}
 Also note this `docker-compose` file is for `CUDA` only.
 
 Please change the image to what you need.
@@ -91,10 +104,10 @@ Please change the image to what you need.
 {{% tab name="GPU Images CUDA 11" %}}
 - `master-cublas-cuda11`
 - `master-cublas-cuda11-core`
-- `v2.0.0-cublas-cuda11`
-- `v2.0.0-cublas-cuda11-core`
-- `v2.0.0-cublas-cuda11-ffmpeg`
-- `v2.0.0-cublas-cuda11-ffmpeg-core`
+- `{{< version >}}-cublas-cuda11`
+- `{{< version >}}-cublas-cuda11-core`
+- `{{< version >}}-cublas-cuda11-ffmpeg`
+- `{{< version >}}-cublas-cuda11-ffmpeg-core`
 
 Core Images - Smaller images without predownload python dependencies
 {{% /tab %}}
@@ -102,10 +115,10 @@ Core Images - Smaller images without predownload python dependencies
 {{% tab name="GPU Images CUDA 12" %}}
 - `master-cublas-cuda12`
 - `master-cublas-cuda12-core`
-- `v2.0.0-cublas-cuda12`
-- `v2.0.0-cublas-cuda12-core`
-- `v2.0.0-cublas-cuda12-ffmpeg`
-- `v2.0.0-cublas-cuda12-ffmpeg-core`
+- `{{< version >}}-cublas-cuda12`
+- `{{< version >}}-cublas-cuda12-core`
+- `{{< version >}}-cublas-cuda12-ffmpeg`
+- `{{< version >}}-cublas-cuda12-ffmpeg-core`
 
 Core Images - Smaller images without predownload python dependencies
 {{% /tab %}}
@@ -135,6 +148,8 @@ services:
       - ./images/:/tmp/generated/images/
     command: ["/usr/bin/local-ai" ]
 ```
+{{% /tab %}}
+{{< /tabs >}}
 
 
 Make sure to save that in the root of the `LocalAI` folder. Then lets spin up the Docker run this in a `CMD` or `BASH`
diff --git a/docs/content/howtos/easy-setup-embeddings.md b/docs/content/howtos/easy-setup-embeddings.md
index 8c3fc2b72eb2..4e2237814048 100644
--- a/docs/content/howtos/easy-setup-embeddings.md
+++ b/docs/content/howtos/easy-setup-embeddings.md
@@ -12,17 +12,6 @@ curl http://localhost:8080/models/apply -H "Content-Type: application/json" -d '
    }'  
 ```
 
-Now we need to make a ``bert.yaml`` in the models folder
-```yaml
-backend: bert-embeddings
-embeddings: true
-name: text-embedding-ada-002
-parameters:
-  model: bert
-```
-
-**Restart LocalAI after you change a yaml file**
-
 When you would like to request the model from CLI you can do 
 
 ```bash
@@ -30,7 +19,7 @@ curl http://localhost:8080/v1/embeddings \
   -H "Content-Type: application/json" \
   -d '{
     "input": "The food was delicious and the waiter...",
-    "model": "text-embedding-ada-002"
+    "model": "bert-embeddings"
   }'
 ```
 
diff --git a/docs/content/howtos/easy-setup-sd.md b/docs/content/howtos/easy-setup-sd.md
index 4dd835054396..e47a84d17c9e 100644
--- a/docs/content/howtos/easy-setup-sd.md
+++ b/docs/content/howtos/easy-setup-sd.md
@@ -5,7 +5,7 @@ weight = 2
 +++
 
 To set up a Stable Diffusion model is super easy.
-In your models folder make a file called ``stablediffusion.yaml``, then edit that file with the following. (You can change ``Linaqruf/animagine-xl`` with what ever ``sd-lx`` model you would like.
+In your ``models`` folder make a file called ``stablediffusion.yaml``, then edit that file with the following. (You can change ``Linaqruf/animagine-xl`` with what ever ``sd-lx`` model you would like.
 ```yaml
 name: animagine-xl
 parameters:
@@ -21,8 +21,7 @@ diffusers:
 
 If you are using docker, you will need to run in the localai folder with the ``docker-compose.yaml`` file in it
 ```bash
-docker-compose down #windows
-docker compose down #linux/mac
+docker compose down
 ```
 
 Then in your ``.env`` file uncomment this line.
@@ -32,14 +31,13 @@ COMPEL=0
 
 After that we can reinstall the LocalAI docker VM by running in the localai folder with the ``docker-compose.yaml`` file in it
 ```bash
-docker-compose up #windows
-docker compose up #linux/mac
+docker compose up -d
 ```
 
 Then to download and setup the model, Just send in a normal ``OpenAI`` request! LocalAI will do the rest!
 ```bash
 curl http://localhost:8080/v1/images/generations -H "Content-Type: application/json" -d '{
   "prompt": "Two Boxes, 1blue, 1red",
-  "size": "256x256"
+  "size": "1024x1024"
 }'
 ```