Revamp README.md with a fresh layout and enhanced content, including a new introduction, improved visual elements, and detailed sections on features, quick start guide, and comprehensive documentation. This update aims to create a more engaging and informative experience for users, highlighting Axolotl's capabilities in LLM fine-tuning.

README.md

@@ -1,124 +1,177 @@
-<p align="center">
-    <picture>
-        <source media="(prefers-color-scheme: dark)" srcset="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/887513285d98132142bf5db2a74eb5e0928787f1/image/axolotl_logo_digital_white.svg">
-        <source media="(prefers-color-scheme: light)" srcset="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/887513285d98132142bf5db2a74eb5e0928787f1/image/axolotl_logo_digital_black.svg">
-        <img alt="Axolotl" src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/887513285d98132142bf5db2a74eb5e0928787f1/image/axolotl_logo_digital_black.svg" width="400" height="104" style="max-width: 100%;">
-    </picture>
-</p>
+<div align="center">
+  <a href="https://github.com/axolotl-ai-cloud/axolotl">
+    <img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/docs/logo.png" alt="Axolotl Logo" width="250" style="margin-bottom: 20px;"/>
+  </a>
+  <h1><span style="color: #4CAF50;">Axolotl: Fine-tune LLMs with Unprecedented Ease & Power!</span> 🚀</h1>
+  <p style="font-size: 1.1em; color: #555;">Your ultimate toolkit for efficient, scalable, and versatile large language model fine-tuning.</p>
 
-<p align="center">
-    <img src="https://img.shields.io/github/license/axolotl-ai-cloud/axolotl.svg?color=blue" alt="GitHub License">
-    <img src="https://github.com/axolotl-ai-cloud/axolotl/actions/workflows/tests.yml/badge.svg" alt="tests">
-    <a href="https://codecov.io/gh/axolotl-ai-cloud/axolotl"><img src="https://codecov.io/gh/axolotl-ai-cloud/axolotl/branch/main/graph/badge.svg" alt="codecov"></a>
-    <a href="https://github.com/axolotl-ai-cloud/axolotl/releases"><img src="https://img.shields.io/github/release/axolotl-ai-cloud/axolotl.svg" alt="Releases"></a>
-    <br/>
-    <a href="https://github.com/axolotl-ai-cloud/axolotl/graphs/contributors"><img src="https://img.shields.io/github/contributors-anon/axolotl-ai-cloud/axolotl?color=yellow&style=flat-square" alt="contributors" style="height: 20px;"></a>
-    <img src="https://img.shields.io/github/stars/axolotl-ai-cloud/axolotl" alt="GitHub Repo stars">
-    <br/>
-    <a href="https://discord.com/invite/HhrNrHJPRb"><img src="https://img.shields.io/badge/discord-7289da.svg?style=flat-square&logo=discord" alt="discord" style="height: 20px;"></a>
-    <a href="https://twitter.com/axolotl_ai"><img src="https://img.shields.io/twitter/follow/axolotl_ai?style=social" alt="twitter" style="height: 20px;"></a>
-    <br/>
-    <img src="https://github.com/axolotl-ai-cloud/axolotl/actions/workflows/tests-nightly.yml/badge.svg" alt="tests-nightly">
-    <img src="https://github.com/axolotl-ai-cloud/axolotl/actions/workflows/multi-gpu-e2e.yml/badge.svg" alt="multigpu-semi-weekly tests">
-</p>
+  <p>
+    <a href="https://discord.gg/HhrNrHJPRb" target="_blank">
+      <img src="https://img.shields.io/discord/1070542385153273887?label=Discord&logo=discord&logoColor=white&color=7289DA" alt="Discord Community" style="margin: 5px;">
+    </a>
+    <a href="https://docs.axolotl.ai/" target="_blank">
+      <img src="https://img.shields.io/badge/Documentation-blue?style=flat&logo=readthedocs&logoColor=white" alt="Official Documentation" style="margin: 5px;">
+    </a>
+    <a href="https://pypi.org/project/axolotl/" target="_blank">
+      <img src="https://img.shields.io/pypi/v/axolotl?label=PyPI&logo=pypi&logoColor=white&color=blue" alt="PyPI Package" style="margin: 5px;">
+    </a>
+    <a href="https://github.com/axolotl-ai-cloud/axolotl/releases" target="_blank">
+      <img src="https://img.shields.io/github/downloads/axolotl-ai-cloud/axolotl/total?label=Downloads&color=green" alt="GitHub Downloads" style="margin: 5px;">
+    </a>
+  </p>
+  <br>
+</div>
 
+---
 
-## 🎉 Latest Updates
+<div style="background-color: #f0f8ff; padding: 25px; border-radius: 12px; margin-bottom: 30px; border: 1px solid #d0e8ff;">
+  <h2 style="color: #0056b3; text-align: center; margin-top: 0;">🎉 Latest Innovations & Updates!</h2>
+  <ul style="list-style-type: none; padding-left: 0;">
+    <li style="margin-bottom: 10px; border-left: 4px solid #6495ED; padding-left: 10px;"><strong><span style="color: #2E8B57;">2025/06:</span> Magistral with mistral-common tokenizer support!</strong> Dive into <a href="https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/magistral" style="color: #007bff; text-decoration: none;">examples</a> to train your own Magistral models.</li>
+    <li style="margin-bottom: 10px; border-left: 4px solid #6495ED; padding-left: 10px;"><strong><span style="color: #2E8B57;">2025/05:</span> Quantization Aware Training (QAT) support!</strong> Explore the <a href="https://docs.axolotl.ai/docs/qat.html" style="color: #007bff; text-decoration: none;">docs</a> to learn more.</li>
+    <li style="margin-bottom: 10px; border-left: 4px solid #6495ED; padding-left: 10px;"><strong><span style="color: #2E8B57;">2025/04:</span> Llama 4 support!</strong> See <a href="https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/llama-4" style="color: #007bff; text-decoration: none;">examples</a> to train Llama 4 with Axolotl's linearized version!</li>
+    <li style="margin-bottom: 10px; border-left: 4px solid #6495ED; padding-left: 10px;"><strong><span style="color: #2E8B57;">2025/03:</span> Sequence Parallelism (SP) support!</strong> Scale your context length. Read the <a href="https://huggingface.co/blog/axolotl-ai-co/long-context-with-sequence-parallelism-in-axolotl" style="color: #007bff; text-decoration: none;">blog</a> and <a href="https://docs.axolotl.ai/docs/sequence_parallelism.html" style="color: #007bff; text-decoration: none;">docs</a>.</li>
+    <li style="margin-bottom: 10px; border-left: 4px solid #6495ED; padding-left: 10px;"><strong><span style="color: #2E8B57;">2025/03:</span> (Beta) Fine-tuning Multimodal models!</strong> Check out the <a href="https://docs.axolotl.ai/docs/multimodal.html" style="color: #007bff; text-decoration: none;">docs</a>.</li>
+    <li style="margin-bottom: 10px; border-left: 4px solid #6495ED; padding-left: 10px;"><strong><span style="color: #2E8B57;">2025/02:</span> LoRA optimizations!</strong> Reduce memory and improve speed. Jump into the <a href="https://docs.axolotl.ai/docs/lora_optims.html" style="color: #007bff; text-decoration: none;">docs</a>.</li>
+    <li style="margin-bottom: 10px; border-left: 4px solid #6495ED; padding-left: 10px;"><strong><span style="color: #2E8B57;">2025/02:</span> GRPO support!</strong> Dive into our <a href="https://huggingface.co/blog/axolotl-ai-co/training-llms-w-interpreter-feedback-wasm" style="color: #007bff; text-decoration: none;">blog</a> and <a href="https://github.com/axolotl-ai-cloud/grpo_code" style="color: #007bff; text-decoration: none;">GRPO example</a>.</li>
+    <li style="margin-bottom: 0px; border-left: 4px solid #6495ED; padding-left: 10px;"><strong><span style="color: #2E8B57;">2025/01:</span> Reward Modelling / Process Reward Modelling fine-tuning!</strong> See <a href="https://docs.axolotl.ai/docs/reward_modelling.html" style="color: #007bff; text-decoration: none;">docs</a>.</li>
+  </ul>
+</div>
 
-- 2025/06: Magistral with mistral-common tokenizer support has been added to Axolotl. See [examples](https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/magistral) to start training your own Magistral models with Axolotl!
-- 2025/05: Quantization Aware Training (QAT) support has been added to Axolotl. Explore the [docs](https://docs.axolotl.ai/docs/qat.html) to learn more!
-- 2025/04: Llama 4 support has been added in Axolotl. See [examples](https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/llama-4) to start training your own Llama 4 models with Axolotl's linearized version!
-- 2025/03: Axolotl has implemented Sequence Parallelism (SP) support. Read the [blog](https://huggingface.co/blog/axolotl-ai-co/long-context-with-sequence-parallelism-in-axolotl) and [docs](https://docs.axolotl.ai/docs/sequence_parallelism.html) to learn how to scale your context length when fine-tuning.
-- 2025/03: (Beta) Fine-tuning Multimodal models is now supported in Axolotl. Check out the [docs](https://docs.axolotl.ai/docs/multimodal.html) to fine-tune your own!
-- 2025/02: Axolotl has added LoRA optimizations to reduce memory usage and improve training speed for LoRA and QLoRA in single GPU and multi-GPU training (DDP and DeepSpeed). Jump into the [docs](https://docs.axolotl.ai/docs/lora_optims.html) to give it a try.
-- 2025/02: Axolotl has added GRPO support. Dive into our [blog](https://huggingface.co/blog/axolotl-ai-co/training-llms-w-interpreter-feedback-wasm) and [GRPO example](https://github.com/axolotl-ai-cloud/grpo_code) and have some fun!
-- 2025/01: Axolotl has added Reward Modelling / Process Reward Modelling fine-tuning support. See [docs](https://docs.axolotl.ai/docs/reward_modelling.html).
+<h2 style="color: #FF5733;"><span style="margin-right: 10px;">✨</span> Axolotl Overview: Your LLM Fine-tuning Powerhouse!</h2>
 
-## ✨ Overview
+<div style="background-color: #fffacd; padding: 20px; border-radius: 10px; margin-bottom: 30px; border: 1px solid #ffd700;">
+  <p style="font-size: 1.1em; color: #333; text-align: center;">Axolotl is a powerful, flexible, and user-friendly tool designed to supercharge your post-training workflows for a wide range of cutting-edge AI models.</p>
+</div>
 
-Axolotl is a tool designed to streamline post-training for various AI models.
+<div style="display: flex; flex-wrap: wrap; justify-content: space-around; gap: 20px; margin-bottom: 40px;">
+  <div style="flex: 1 1 45%; background-color: #f9f9f9; padding: 20px; border-radius: 10px; border: 1px solid #eee; box-shadow: 0 4px 8px rgba(0,0,0,0.1);">
+    <h3 style="color: #4CAF50; margin-top: 0;"><span style="margin-right: 5px;">🤖</span> Broad Model Compatibility</h3>
+    <ul style="list-style-type: disc; padding-left: 20px;">
+      <li>Train a vast array of models including LLaMA, Mistral, Mixtral, Pythia, and many more.</li>
+      <li>Fully compatible with HuggingFace transformers causal language models, ensuring wide adoption.</li>
+    </ul>
+  </div>
 
-Features:
+  <div style="flex: 1 1 45%; background-color: #f9f9f9; padding: 20px; border-radius: 10px; border: 1px solid #eee; box-shadow: 0 4px 8px rgba(0,0,0,0.1);">
+    <h3 style="color: #4CAF50; margin-top: 0;"><span style="margin-right: 5px;">🔧</span> Diverse Training Methodologies</h3>
+    <ul style="list-style-type: disc; padding-left: 20px;">
+      <li>Full fine-tuning, LoRA, QLoRA, GPTQ, QAT.</li>
+      <li>Preference Tuning: DPO, IPO, KTO, ORPO.</li>
+      <li>Advanced RL: GRPO.</li>
+      <li>Multimodal and Reward Modelling (RM) / Process Reward Modelling (PRM).</li>
+    </ul>
+  </div>
 
-- **Multiple Model Support**: Train various models like LLaMA, Mistral, Mixtral, Pythia, and more. We are compatible with HuggingFace transformers causal language models.
-- **Training Methods**: Full fine-tuning, LoRA, QLoRA, GPTQ, QAT, Preference Tuning (DPO, IPO, KTO, ORPO), RL (GRPO), Multimodal, and Reward Modelling (RM) / Process Reward Modelling (PRM).
-- **Easy Configuration**: Re-use a single YAML file between dataset preprocess, training, evaluation, quantization, and inference.
-- **Performance Optimizations**: [Multipacking](https://docs.axolotl.ai/docs/multipack.html), [Flash Attention](https://github.com/Dao-AILab/flash-attention), [Xformers](https://github.com/facebookresearch/xformers), [Flex Attention](https://pytorch.org/blog/flexattention/), [Liger Kernel](https://github.com/linkedin/Liger-Kernel), [Cut Cross Entropy](https://github.com/apple/ml-cross-entropy/tree/main), Sequence Parallelism (SP), LoRA optimizations, Multi-GPU training (FSDP1, FSDP2, DeepSpeed), Multi-node training (Torchrun, Ray), and many more!
-- **Flexible Dataset Handling**: Load from local, HuggingFace, and cloud (S3, Azure, GCP, OCI) datasets.
-- **Cloud Ready**: We ship [Docker images](https://hub.docker.com/u/axolotlai) and also [PyPI packages](https://pypi.org/project/axolotl/) for use on cloud platforms and local hardware.
+  <div style="flex: 1 1 45%; background-color: #f9f9f9; padding: 20px; border-radius: 10px; border: 1px solid #eee; box-shadow: 0 4px 8px rgba(0,0,0,0.1);">
+    <h3 style="color: #4CAF50; margin-top: 0;"><span style="margin-right: 5px;">⚙️</span> Streamlined Configuration</h3>
+    <ul style="list-style-type: disc; padding-left: 20px;">
+      <li>Utilize a single, intuitive YAML file across dataset preprocess, training, evaluation, quantization, and inference.</li>
+    </ul>
+  </div>
 
+  <div style="flex: 1 1 45%; background-color: #f9f9f9; padding: 20px; border-radius: 10px; border: 1px solid #eee; box-shadow: 0 4px 8px rgba(0,0,0,0.1);">
+    <h3 style="color: #4CAF50; margin-top: 0;"><span style="margin-right: 5px;">⚡</span> Cutting-Edge Performance Optimizations</h3>
+    <ul style="list-style-type: disc; padding-left: 20px;">
+      <li><a href="https://docs.axolotl.ai/docs/multipack.html" style="color: #007bff;">Multipacking</a>, <a href="https://github.com/Dao-AILab/flash-attention" style="color: #007bff;">Flash Attention</a>, <a href="https://github.com/facebookresearch/xformers" style="color: #007bff;">Xformers</a>, <a href="https://pytorch.org/blog/flexattention/" style="color: #007bff;">Flex Attention</a>, <a href="https://github.com/linkedin/Liger-Kernel" style="color: #007bff;">Liger Kernel</a>, <a href="https://github.com/apple/ml-cross-entropy/tree/main" style="color: #007bff;">Cut Cross Entropy</a>.</li>
+      <li>Sequence Parallelism (SP), LoRA optimizations.</li>
+      <li>Multi-GPU training (FSDP1, FSDP2, DeepSpeed), Multi-node training (Torchrun, Ray), and many more!</li>
+    </ul>
+  </div>
 
+  <div style="flex: 1 1 45%; background-color: #f9f9f9; padding: 20px; border-radius: 10px; border: 1px solid #eee; box-shadow: 0 4px 8px rgba(0,0,0,0.1);">
+    <h3 style="color: #4CAF50; margin-top: 0;"><span style="margin-right: 5px;">📂</span> Flexible Data Handling</h3>
+    <ul style="list-style-type: disc; padding-left: 20px;">
+      <li>Load datasets from local paths, HuggingFace Hub, and major cloud providers (S3, Azure, GCP, OCI).</li>
+    </ul>
+  </div>
 
-## 🚀 Quick Start
+  <div style="flex: 1 1 45%; background-color: #f9f9f9; padding: 20px; border-radius: 10px; border: 1px solid #eee; box-shadow: 0 4px 8px rgba(0,0,0,0.1);">
+    <h3 style="color: #4CAF50; margin-top: 0;"><span style="margin-right: 5px;">☁️</span> Cloud-Ready & Deployable</h3>
+    <ul style="list-style-type: disc; padding-left: 20px;">
+      <li>Official <a href="https://hub.docker.com/u/axolotlai" style="color: #007bff;">Docker images</a> and <a href="https://pypi.org/project/axolotl/" style="color: #007bff;">PyPI packages</a> for seamless integration on cloud platforms and local hardware.</li>
+    </ul>
+  </div>
+</div>
 
-**Requirements**:
+<h2 style="color: #007bff;"><span style="margin-right: 10px;">🚀</span> Quick Start: Get Fine-tuning in Minutes!</h2>
 
-- NVIDIA GPU (Ampere or newer for `bf16` and Flash Attention) or AMD GPU
-- Python 3.11
-- PyTorch ≥2.5.1
+<div style="background-color: #e6f7ff; padding: 25px; border-radius: 12px; margin-bottom: 30px; border: 1px solid #cceeff;">
+  <h3 style="color: #0056b3; margin-top: 0;">Requirements:</h3>
+  <ul style="list-style-type: none; padding-left: 0;">
+    <li style="margin-bottom: 5px;"><span style="color: #333; font-weight: bold;">▶ NVIDIA GPU</span> (Ampere or newer for `bf16` and Flash Attention) or AMD GPU</li>
+    <li style="margin-bottom: 5px;"><span style="color: #333; font-weight: bold;">▶ Python 3.11</span></li>
+    <li style="margin-bottom: 5px;"><span style="color: #333; font-weight: bold;">▶ PyTorch ≥2.5.1</span></li>
+  </ul>
 
-### Installation
-
-```bash
-pip3 install -U packaging==23.2 setuptools==75.8.0 wheel ninja
+  <h3 style="color: #0056b3;">Installation:</h3>
+  <pre><code style="background-color: #eef; padding: 15px; border-radius: 8px; display: block; overflow-x: auto;">pip3 install -U packaging==23.2 setuptools==75.8.0 wheel ninja
 pip3 install --no-build-isolation axolotl[flash-attn,deepspeed]
 
 # Download example axolotl configs, deepspeed configs
 axolotl fetch examples
-axolotl fetch deepspeed_configs  # OPTIONAL
-```
+axolotl fetch deepspeed_configs  # OPTIONAL</code></pre>
+  <p style="font-size: 0.9em; color: #555;">Other installation approaches are described <a href="https://docs.axolotl.ai/docs/installation.html" style="color: #007bff; text-decoration: none;">here</a>.</p>
 
-Other installation approaches are described [here](https://docs.axolotl.ai/docs/installation.html).
-
-### Your First Fine-tune
-
-```bash
-# Fetch axolotl examples
+  <h3 style="color: #0056b3;">Your First Fine-tune:</h3>
+  <pre><code style="background-color: #eef; padding: 15px; border-radius: 8px; display: block; overflow-x: auto;"># Fetch axolotl examples
 axolotl fetch examples
 
 # Or, specify a custom path
 axolotl fetch examples --dest path/to/folder
 
 # Train a model using LoRA
-axolotl train examples/llama-3/lora-1b.yml
-```
+axolotl train examples/llama-3/lora-1b.yml</code></pre>
+  <p style="text-align: center; font-size: 1.1em; font-weight: bold; margin-top: 20px;">
+    That's it! Check out our <a href="https://docs.axolotl.ai/docs/getting-started.html" style="background-color: #28a745; color: white; padding: 12px 25px; border-radius: 8px; text-decoration: none; display: inline-block; transition: background-color 0.3s ease;"> Getting Started Guide ➜</a> for a more detailed walkthrough.
+  </p>
+</div>
 
-That's it! Check out our [Getting Started Guide](https://docs.axolotl.ai/docs/getting-started.html) for a more detailed walkthrough.
+<h2 style="color: #8A2BE2;"><span style="margin-right: 10px;">📚</span> Comprehensive Documentation: Unlock Axolotl's Full Potential</h2>
 
+<div style="background-color: #f7f0ff; padding: 25px; border-radius: 12px; margin-bottom: 30px; border: 1px solid #e0caff;">
+  <p style="text-align: center; font-size: 1.1em; color: #333;">Dive deep into Axolotl's capabilities with our extensive documentation:</p>
+  <ul style="list-style-type: none; padding-left: 0; text-align: center;">
+    <li style="margin-bottom: 10px;"><a href="https://docs.axolotl.ai/docs/installation.html" style="color: #5d2b99; text-decoration: none; font-weight: bold;"> Installation Options</a> - Detailed setup instructions for different environments</li>
+    <li style="margin-bottom: 10px;"><a href="https://docs.axolotl.ai/docs/config.html" style="color: #5d2b99; text-decoration: none; font-weight: bold;"> Configuration Guide</a> - Full configuration options and examples</li>
+    <li style="margin-bottom: 10px;"><a href="https://docs.axolotl.ai/docs/dataset_loading.html" style="color: #5d2b99; text-decoration: none; font-weight: bold;"> Dataset Loading</a> - Loading datasets from various sources</li>
+    <li style="margin-bottom: 10px;"><a href="https://docs.axolotl.ai/docs/dataset-formats/" style="color: #5d2b99; text-decoration: none; font-weight: bold;"> Dataset Guide</a> - Supported formats and how to use them</li>
+    <li style="margin-bottom: 10px;"><a href="https://docs.axolotl.ai/docs/multi-gpu.html" style="color: #5d2b99; text-decoration: none; font-weight: bold;"> Multi-GPU Training</a></li>
+    <li style="margin-bottom: 10px;"><a href="https://docs.axolotl.ai/docs/multi-node.html" style="color: #5d2b99; text-decoration: none; font-weight: bold;"> Multi-Node Training</a></li>
+    <li style="margin-bottom: 10px;"><a href="https://docs.axolotl.ai/docs/multipack.html" style="color: #5d2b99; text-decoration: none; font-weight: bold;"> Multipacking</a></li>
+    <li style="margin-bottom: 10px;"><a href="https://docs.axolotl.ai/docs/api/" style="color: #5d2b99; text-decoration: none; font-weight: bold;"> API Reference</a> - Auto-generated code documentation</li>
+    <li style="margin-bottom: 0px;"><a href="https://docs.axolotl.ai/docs/faq.html" style="color: #5d2b99; text-decoration: none; font-weight: bold;">❓ FAQ</a> - Frequently asked questions</li>
+  </ul>
+</div>
 
-## 📚 Documentation
+<h2 style="color: #FF8C00;"><span style="margin-right: 10px;">🤝</span> Need Help? We're Here for You!</h2>
+<ul style="list-style-type: none; padding-left: 0;">
+    <li style="margin-bottom: 10px;"><span style="font-size: 1.2em; color: #7289DA;"></span> Join our vibrant <a href="https://discord.gg/HhrNrHJPRb" style="color: #7289DA; text-decoration: none; font-weight: bold;">Discord community</a> for real-time support and discussions.</li>
+    <li style="margin-bottom: 10px;"><span style="font-size: 1.2em; color: #555;"></span> Explore our <a href="https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/" style="color: #FF8C00; text-decoration: none; font-weight: bold;">Examples</a> directory for practical use cases.</li>
+    <li style="margin-bottom: 10px;"><span style="font-size: 1.2em; color: #555;"></span> Read our <a href="https://docs.axolotl.ai/docs/debugging.html" style="color: #FF8C00; text-decoration: none; font-weight: bold;">Debugging Guide</a> for troubleshooting tips.</li>
+    <li style="margin-bottom: 0px;"><span style="font-size: 1.2em; color: #007bff;">✉</span> Need dedicated support? Please contact <a href="mailto:wing@axolotl.ai" style="color: #007bff; text-decoration: none; font-weight: bold;">wing@axolotl.ai</a> for professional assistance options.</li>
+</ul>
 
-- [Installation Options](https://docs.axolotl.ai/docs/installation.html) - Detailed setup instructions for different environments
-- [Configuration Guide](https://docs.axolotl.ai/docs/config.html) - Full configuration options and examples
-- [Dataset Loading](https://docs.axolotl.ai/docs/dataset_loading.html) - Loading datasets from various sources
-- [Dataset Guide](https://docs.axolotl.ai/docs/dataset-formats/) - Supported formats and how to use them
-- [Multi-GPU Training](https://docs.axolotl.ai/docs/multi-gpu.html)
-- [Multi-Node Training](https://docs.axolotl.ai/docs/multi-node.html)
-- [Multipacking](https://docs.axolotl.ai/docs/multipack.html)
-- [API Reference](https://docs.axolotl.ai/docs/api/) - Auto-generated code documentation
-- [FAQ](https://docs.axolotl.ai/docs/faq.html) - Frequently asked questions
+<h2 style="color: #FF1493;"><span style="margin-right: 10px;">🌟</span> Contribute to Axolotl!</h2>
+<p style="font-size: 1.1em;">
+  Contributions are always welcome and highly appreciated! Axolotl thrives on community support. Please see our <a href="https://github.com/axolotl-ai-cloud/axolotl/blob/main/.github/CONTRIBUTING.md" style="color: #FF1493; text-decoration: none; font-weight: bold;">Contributing Guide</a> for details on how you can help make Axolotl even better.
+</p>
 
-## 🤝 Getting Help
+<div align="center" style="margin-top: 40px; padding: 25px; background-color: #f8f8f8; border-radius: 12px; border: 1px solid #eee;">
+  <h2 style="color: #FF69B4; margin-bottom: 20px;">❤️ Our Esteemed Sponsors</h2>
+  <p style="font-size: 1.1em; color: #555;">A huge thank you to our visionary sponsors who provide the essential resources to keep Axolotl at the forefront of LLM fine-tuning:</p>
+  <a href="https://www.modal.com?utm_source=github&utm_medium=github&utm_campaign=axolotl" target="_blank" style="display: inline-block; margin: 20px;">
+    <img src="https://assets-global.website-files.com/6247c4c1d68352614b7e87ae/63b27b3b44b82d02c8163f4f_logo-dark-square.png" alt="Modal Logo" width="180" style="vertical-align: middle; border-radius: 8px; box-shadow: 0 4px 10px rgba(0,0,0,0.15);"/>
+  </a>
+  <p style="font-size: 0.9em; color: #777; margin-top: 20px;">
+    <strong>Modal:</strong> Revolutionizing cloud computing for Gen AI. Run jobs, deploy models, and fine-tune LLMs at scale with ease.
+  </p>
+  <p style="font-size: 1em; color: #555; margin-top: 30px;">
+    Interested in powering the future of Axolotl? <span style="font-weight: bold; color: #FF69B4;">Become a sponsor!</span> Contact us at <a href="mailto:wing@axolotl.ai" style="color: #007bff; text-decoration: none;">wing@axolotl.ai</a>
+  </p>
+</div>
 
-- Join our [Discord community](https://discord.gg/HhrNrHJPRb) for support
-- Check out our [Examples](https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/) directory
-- Read our [Debugging Guide](https://docs.axolotl.ai/docs/debugging.html)
-- Need dedicated support? Please contact [✉️wing@axolotl.ai](mailto:wing@axolotl.ai) for options
-
-## 🌟 Contributing
-
-Contributions are welcome! Please see our [Contributing Guide](https://github.com/axolotl-ai-cloud/axolotl/blob/main/.github/CONTRIBUTING.md) for details.
-
-## ❤️ Sponsors
-
-Thank you to our sponsors who help make Axolotl possible:
-
-- [Modal](https://www.modal.com?utm_source=github&utm_medium=github&utm_campaign=axolotl) - Modal lets you run
-jobs in the cloud, by just writing a few lines of Python. Customers use Modal to deploy Gen AI models at large scale,
-fine-tune large language models, run protein folding simulations, and much more.
-
-Interested in sponsoring? Contact us at [wing@axolotl.ai](mailto:wing@axolotl.ai)
-
-## 📜 License
-
-This project is licensed under the Apache 2.0 License - see the [LICENSE](LICENSE) file for details.
+<h2 style="color: #6A5ACD;"><span style="margin-right: 10px;">📜</span> License</h2>
+<p style="font-size: 1.1em;">
+  This project is proudly licensed under the <span style="font-weight: bold; color: #6A5ACD;">Apache 2.0 License</span>. See the <a href="LICENSE" style="color: #007bff; text-decoration: none;">LICENSE</a> file for full details.
+</p>