docs: update model content and add keywords

docs/docs/quickstart/models/customize-engine.mdx

@@ -1,16 +1,25 @@
 ---
+title: Customize Engine Settings
 sidebar_position: 1
+description: A step-by-step guide to change your engine's settings.
+keywords:
+  [
+    Jan AI,
+    Jan,
+    ChatGPT alternative,
+    local AI,
+    private AI,
+    conversational AI,
+    no-subscription fee,
+    large language model,
+    import-models-manually,
+    customize-engine-settings,
+  ]
 ---
 
 import Tabs from '@theme/Tabs';
 import TabItem from '@theme/TabItem';
 
-# Customize Engine Settings
-
-A step-by-step guide to change your engine's settings.
-
----
-
 In this guide, we'll walk you through the process of customizing your engine settings by tweaking the `nitro.json` file
 
 1. Navigate to the `App Settings` > `Advanced` > `Open App Directory` > `~/jan/engine` folder.

docs/docs/quickstart/models/import-models.mdx

@@ -1,23 +1,28 @@
 ---
+title: Manual Import
 sidebar_position: 3
+description: A step-by-step guide on how to perform manual import feature.
+keywords:
+  [
+    Jan AI,
+    Jan,
+    ChatGPT alternative,
+    local AI,
+    private AI,
+    conversational AI,
+    no-subscription fee,
+    large language model,
+    import-models-manually,
+    absolute-filepath,
+  ]
 ---
 
 import Tabs from '@theme/Tabs';
 import TabItem from '@theme/TabItem';
 import janModel from './assets/jan-model-hub.png';
 
-# Manual Import
 
-A step-by-step guide on how to perform manual import feature.
+This guide will show you how to perform manual import. In this guide, we are using a GGUF model from [HuggingFace](https://huggingface.co/) and our latest model, [Trinity](https://huggingface.co/janhq/trinity-v1-GGUF), as an example.
-
----
-:::warning
-
-This is currently under development.
-
-:::
-
-This section will show you how to perform manual import. In this guide, we are using a GGUF model from [HuggingFace](https://huggingface.co/) and our latest model, [Trinity](https://huggingface.co/janhq/trinity-v1-GGUF), as an example.
 
 ## Newer versions - nightly versions and v0.4.4+
 
@@ -25,7 +30,7 @@ This section will show you how to perform manual import. In this guide, we are u
 
 1. Navigate to the `App Settings` > `Advanced` > `Open App Directory` > `~/jan/models` folder.
 
-<Tabs>
+<Tabs groupId = "operating-systems" >
     <TabItem value="mac" label = "MacOS" default>
         ```sh
         cd ~/jan/models
@@ -57,13 +62,13 @@ Drag and drop your model binary into this folder, ensuring the `modelname.gguf`
 
 If your model doesn't show up in the **Model Selector** in conversations, **restart the app** or contact us via our [Discord community](https://discord.gg/Dt7MxDyNNZ).
 
-## Older versions - before v0.4.4
+## Older versions - before v0.44
 
 ### 1. Create a Model Folder
 
 1. Navigate to the `App Settings` > `Advanced` > `Open App Directory` > `~/jan/models` folder.
 
-<Tabs>
+<Tabs groupId = "operating-systems" >
     <TabItem value="mac" label = "MacOS" default>
         ```sh
         cd ~/jan/models
@@ -93,7 +98,7 @@ Jan follows a folder-based, [standard model template](https://jan.ai/docs/engine
 
 This means that you can easily reconfigure your models, export them, and share your preferences transparently.
 
-<Tabs>
+<Tabs groupId = "operating-systems" >
     <TabItem value="mac" label = "MacOS" default>
         ```sh
         cd trinity-v1-7b
@@ -151,14 +156,15 @@ To update `model.json`:
   "engine": "nitro"
 }
 ```
+
 #### Regarding `model.json`
 
 - In `settings`, two crucial values are:
   - `ctx_len`: Defined based on the model's context size.
   - `prompt_template`: Defined based on the model's trained template (e.g., ChatML, Alpaca).
   - To set up the `prompt_template`:
-    1. Visit Hugging Face.
+    1. Visit [Hugging Face](https://huggingface.co/), an open-source machine learning platform.
-    2. Locate the model (e.g., [Gemma 7b it](https://huggingface.co/google/gemma-7b-it)).
+    2. Find the current model that you're using (e.g., [Gemma 7b it](https://huggingface.co/google/gemma-7b-it)).
     3. Review the text and identify the template.
 - In `parameters`, consider the following options. The fields in `parameters` are typically general and can be the same across models. An example is provided below:
 

docs/docs/quickstart/models/integrate-remote.mdx

@@ -1,19 +1,23 @@
 ---
+title: Remote Server Integration
 sidebar_position: 2
+description: A step-by-step guide on how to set up Jan to connect with any remote or local API server.
+keywords:
+  [
+    Jan AI,
+    Jan,
+    ChatGPT alternative,
+    local AI,
+    private AI,
+    conversational AI,
+    no-subscription fee,
+    large language model,
+    import-models-manually,
+    remote server,
+    OAI compatible,
+  ]
 ---
 
-# Remote Server Integration
-
-A step-by-step guide on how to set up Jan to connect with any remote or local API server.
-
----
-
-:::warning
-
-This is currently under development.
-
-:::
-
 This guide will show you how to configure Jan as a client and point it to any remote & local (self-hosted) API server.
 
 ## OpenAI Platform Configuration
@@ -156,11 +160,34 @@ Please note that currently, the code that supports any OpenAI-compatible endpoin
   },
   "engine": "openai"
 }
+
+```
+### Regarding `model.json`
+
+- In `settings`, two crucial values are:
+  - `ctx_len`: Defined based on the model's context size.
+  - `prompt_template`: Defined based on the model's trained template (e.g., ChatML, Alpaca).
+  - To set up the `prompt_template`:
+    1. Visit [Hugging Face](https://huggingface.co/), an open-source machine learning platform.
+    2. Find the current model that you're using (e.g., [Gemma 7b it](https://huggingface.co/google/gemma-7b-it)).
+    3. Review the text and identify the template.
+- In `parameters`, consider the following options. The fields in `parameters` are typically general and can be the same across models. An example is provided below:
+
+```json
+"parameters":{
+  "temperature": 0.7,
+  "top_p": 0.95,
+  "stream": true,
+  "max_tokens": 4096,
+  "frequency_penalty": 0,
+  "presence_penalty": 0
+}
 ```
 
 ### 3. Start the Model
 
-Restart Jan and navigate to the **Hub**. Locate your model and click the **Use** button.
+1. Restart Jan and navigate to the **Hub**.
+2. Locate your model and click the **Use** button.
 
 :::info[Assistance and Support]