diff --git a/README.md b/README.md
index f501a07..4270940 100644
--- a/README.md
+++ b/README.md
@@ -1,24 +1,39 @@
 # Grok-1
 
-This repository contains JAX example code for loading and running the Grok-1 open-weights model.
+This repository contains JAX example code for loading and running the **Grok-1** open-weights model, developed by xAI, founded by Elon Musk. Grok-1 is designed to tackle a variety of natural language processing tasks effectively. This document will guide you through the setup, usage, and specifications of the model.
 
-Make sure to download the checkpoint and place the `ckpt-0` directory in `checkpoints` - see [Downloading the weights](#downloading-the-weights)
+## Table of Contents
 
-Then, run
+- [Overview](#overview)
+- [Getting Started](#getting-started)
+- [Model Specifications](#model-specifications)
+- [Downloading Weights](#downloading-weights)
+- [Usage](#usage)
+- [License](#license)
 
-```shell
-pip install -r requirements.txt
-python run.py
-```
+## Overview
 
-to test the code.
+Grok-1 is an advanced AI model characterized by its large parameter count and a unique architectural approach utilizing a Mixture of Experts (MoE) framework. This model not only serves as a powerful tool for NLP applications but also provides an exciting opportunity for developers and researchers to explore cutting-edge AI technologies.
 
-The script loads the checkpoint and samples from the model on a test input.
+## Getting Started
 
-Due to the large size of the model (314B parameters), a machine with enough GPU memory is required to test the model with the example code.
-The implementation of the MoE layer in this repository is not efficient. The implementation was chosen to avoid the need for custom kernels to validate the correctness of the model.
+To set up and run Grok-1, follow these steps:
 
-# Model Specifications
+1. **Clone the repository:**
+   ```shell
+   git clone https://github.com/xai-org/grok-1.git
+   cd grok-1
+   ```
+
+2. **Install required dependencies:**
+   ```shell
+   pip install -r requirements.txt
+   ```
+
+3. **Download the model weights:**  
+   Ensure that you download the checkpoint and place the `ckpt-0` directory in `checkpoints` (see [Downloading Weights](#downloading-weights)).
+
+## Model Specifications
 
 Grok-1 is currently designed with the following specifications:
 
@@ -29,28 +44,39 @@ Grok-1 is currently designed with the following specifications:
 - **Attention Heads:** 48 for queries, 8 for keys/values
 - **Embedding Size:** 6,144
 - **Tokenization:** SentencePiece tokenizer with 131,072 tokens
+- **Maximum Sequence Length (context):** 8,192 tokens
 - **Additional Features:**
   - Rotary embeddings (RoPE)
   - Supports activation sharding and 8-bit quantization
-- **Maximum Sequence Length (context):** 8,192 tokens
 
-# Downloading the weights
+## Downloading Weights
 
-You can download the weights using a torrent client and this magnet link:
+You can download the weights using two methods:
 
+1. **Using a Torrent Client:**  
+   Download the weights using the following magnet link:
+   ```
+   magnet:?xt=urn:btih:5f96d43576e3d386c9ba65b883210a393b68210e&tr=https%3A%2F%2Facademictorrents.com%2Fannounce.php&tr=udp%3A%2F%2Ftracker.coppersurfer.tk%3A6969&tr=udp%3A%2F%2Ftracker.opentrackr.org%3A1337%2Fannounce
+   ```
+
+2. **Directly from Hugging Face Hub:**  
+   Clone the repository and use the following commands:
+   ```shell
+   git clone https://github.com/xai-org/grok-1.git && cd grok-1
+   pip install huggingface_hub[hf_transfer]
+   huggingface-cli download xai-org/grok-1 --repo-type model --include ckpt-0/* --local-dir checkpoints --local-dir-use-symlinks False
+   ```
+
+## Usage
+
+To test the code, run the following command:
+```shell
+python run.py
 ```
-magnet:?xt=urn:btih:5f96d43576e3d386c9ba65b883210a393b68210e&tr=https%3A%2F%2Facademictorrents.com%2Fannounce.php&tr=udp%3A%2F%2Ftracker.coppersurfer.tk%3A6969&tr=udp%3A%2F%2Ftracker.opentrackr.org%3A1337%2Fannounce
-```
+This script loads the checkpoint and samples from the model on a test input. 
 
-or directly using [HuggingFace 🤗 Hub](https://huggingface.co/xai-org/grok-1):
-```
-git clone https://github.com/xai-org/grok-1.git && cd grok-1
-pip install huggingface_hub[hf_transfer]
-huggingface-cli download xai-org/grok-1 --repo-type model --include ckpt-0/* --local-dir checkpoints --local-dir-use-symlinks False
-```
+**Note:** Due to the large size of the model (314B parameters), a machine with sufficient GPU memory is required to test the model with the example code. The current implementation of the MoE layer may not be fully optimized; it was chosen to facilitate correctness validation without the need for custom kernels.
 
-# License
+## License
 
-The code and associated Grok-1 weights in this release are licensed under the
-Apache 2.0 license. The license only applies to the source files in this
-repository and the model weights of Grok-1.
+The code and associated Grok-1 weights in this release are licensed under the Apache 2.0 license. This license only applies to the source files in this repository and the model weights of Grok-1.