Update README.md

README.md

@@ -1,3 +1,48 @@
 ---
 license: mit
 ---
+<div align="center">
+
+# 🤖 SmallDront-60M
+
+*A lightweight conversational AI model designed for natural small talk*
+
+[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
+[![Hugging Face](https://img.shields.io/badge/🤗%20Hugging%20Face-Model-blue)](https://huggingface.co/)
+[![Parameters](https://img.shields.io/badge/Parameters-60M-green)]()
+[![Format](https://img.shields.io/badge/Format-F32-orange)]()
+
+</div>
+
+---
+
+## 📝 Overview
+
+**SmallDront-60M** is a compact language model specifically fine-tuned for engaging small talk conversations. With 60 million parameters in F32 precision, it strikes a balance between performance and efficiency — delivering coherent, natural dialogue without the overhead of larger models.
+
+> *Compared to its predecessor (SmallDront-20M), this model properly ends its responses and hallucinates significantly less.*
+
+---
+
+## ✨ Features
+
+| Feature | Detail |
+|---------|--------|
+| 🧠 **Architecture** | Transformer-based |
+| 🔢 **Parameters** | 60,000,000 |
+| 📐 **Precision** | F32 (Full float32) |
+| 🔤 **Tokenizer** | GPT-2 Tokenizer |
+| 📦 **Format** | Hugging Face compatible |
+| 🏷️ **Special Tokens** | `<\|user\|>` `<\|assistant\|>` |
+
+---
+
+## 🎓 Training
+
+The model was trained on the **[VDC-team/DialoguesEN-4k](https://huggingface.co/datasets/VDC-team/DialoguesEN-4k)** dataset until reaching a loss of **0.9**.
+
+---
+
+## 💬 Example Conversations
+
+*Temperature: 0.3*