update the quickstart

Author: hahuyhoang411

docs/docs/new/quickstart.md

@@ -6,29 +6,27 @@ description: How to use Nitro
 
 ## Step 1: Install Nitro
 
+Download and install Nitro on your system.
+
 ### For Linux and MacOS
 
-Open your terminal and enter the following command. This will download and install Nitro on your system.
   ```bash
   curl -sfL https://raw.githubusercontent.com/janhq/nitro/main/install.sh | sudo /bin/bash -
   ```
 
 ### For Windows
 
-Open PowerShell and execute the following command. This will perform the same actions as for Linux and MacOS but is tailored for Windows.
   ```bash
   powershell -Command "& { Invoke-WebRequest -Uri 'https://raw.githubusercontent.com/janhq/nitro/main/install.bat' -OutFile 'install.bat'; .\install.bat; Remove-Item -Path 'install.bat' }"
   ```
 
-> **NOTE:**Installing Nitro will add new files and configurations to your system to enable it to run.
+> Installing Nitro will add new files and configurations to your system to enable it to run.
 
 For a manual installation process, see: [Install from Source](install.md)
 
 ## Step 2: Downloading a Model
 
-Next, we need to download a model. For this example, we'll use the [Llama2 7B chat model](https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGUF/tree/main).
-
-- Create a `/model` and navigate into it:
+For this example, we'll use the [Llama2 7B chat model](https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGUF/tree/main).
 
 ```bash
 mkdir model && cd model
@@ -37,8 +35,6 @@ wget -O llama-2-7b-model.gguf https://huggingface.co/TheBloke/Llama-2-7B-Chat-GG
 
 ## Step 3: Run Nitro server
 
-To start using Nitro, you need to run its server.
-
 ```bash title="Run Nitro server"
 nitro
 ```
@@ -51,7 +47,7 @@ curl http://localhost:3928/healthz
 
 ## Step 4: Load model
 
-To load the model to Nitro server, you need to run:
+To load the model to Nitro server, run:
 
 ```bash title="Load model"
 curl http://localhost:3928/inferences/llamacpp/loadmodel \
@@ -65,9 +61,7 @@ curl http://localhost:3928/inferences/llamacpp/loadmodel \
 
 ## Step 5: Making an Inference
 
-Finally, let's make an actual inference call using Nitro.
-
-- In your terminal, execute:
+Finally, let's chat with the model using Nitro.
 
 ```bash title="Nitro Inference"
 curl http://localhost:3928/v1/chat/completions \
@@ -82,6 +76,4 @@ curl http://localhost:3928/v1/chat/completions \
   }'
 ```
 
-This command sends a request to Nitro, asking it about the 2020 World Series winner.
-
-- As you can see, A key benefit of Nitro is its alignment with [OpenAI's API structure](https://platform.openai.com/docs/guides/text-generation?lang=curl). Its inference call syntax closely mirrors that of OpenAI's API, facilitating an easier shift for those accustomed to OpenAI's framework.
+As you can see, a key benefit of Nitro is its alignment with [OpenAI's API structure](https://platform.openai.com/docs/guides/text-generation?lang=curl). Its inference call syntax closely mirrors that of OpenAI's API, facilitating an easier shift for those accustomed to OpenAI's framework.