Add header section

README.md

@@ -4,6 +4,10 @@ tags:
 - prime-rl
 - verifiers
 - prime-intellect
+- reinforcement-learning
+- reasoning
+- agentic
+- mixture-of-experts
 license: mit
 language:
 - en
@@ -14,6 +18,20 @@ pipeline_tag: text-generation
 
 # INTELLECT-3
 
+<div align="center">
+<img src="pi_logo.png" alt="Prime Intellect Logo" width="240px"/>
+</div>
+
+<p align="center">
+    🚀 <strong>State-of-the-art 100B+ parameter Mixture-of-Experts model trained with large-scale reinforcement learning</strong>
+    <br><br>
+    📚 Trained with <a href="https://github.com/PrimeIntellect-ai/prime-rl">prime-rl</a> infra and <a href="https://github.com/PrimeIntellect-ai/verifiers">verifiers</a> environments | 🌐 Environments on <a href="https://app.primeintellect.ai/dashboard/environments">Environments Hub</a>
+    <br>
+    📖 Read the <a href="https://primeintellect.ai/blog/intellect-3">Technical Report</a> | 💬 Join our <a href="https://discord.gg/RC5GvMbfDf">Discord</a>
+</p>
+
+## Introduction
+
 **INTELLECT-3** is a 106B (A12B) parameter Mixture-of-Experts reasoning model post-trained from [GLM-4.5-Air-Base](https://huggingface.co/zai-org/GLM-4.5-Air-Base) using supervised fine-tuning (SFT) followed by large-scale reinforcement learning (RL).
 
 Training was performed with [prime-rl](https://github.com/PrimeIntellect-ai/prime-rl) using environments built with the [verifiers](https://github.com/PrimeIntellect-ai/verifiers) library. All training and evaluation environments are available on the [Environments Hub](https://app.primeintellect.ai/dashboard/environments).