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README.md

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-# 📘 TinyWay-1.2.0
+# TinyWay-1.2.0
 
 **TinyWay-1.2.0** is a lightweight GPT-style causal language model (~110M parameters) trained from scratch on a mixed streaming corpus (web text, stories, and code).
 The model is designed for research, experimentation, and educational purposes, with an emphasis on transparent architecture and reproducible training.
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-## 🔍 Model Overview
+## Model Overview
 
 | Property          | Value                                |
 | ----------------- | ------------------------------------ |
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-## 🧠 Training Details
+## Training Details
 
 ### Dataset
 
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-## 🚀 Usage
+## Usage
 
 ### Load with Transformers (Custom Code Required)
 
@@ -132,7 +132,7 @@ print(tokenizer.decode(outputs[0], skip_special_tokens=True))
 
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-## 📊 Example Generations
+## Example Generations
 
 The model demonstrates:
 
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-## ⚠️ Limitations
+## Limitations
 
 * ❌ Not instruction-tuned
 * ❌ Limited reasoning depth compared to large LLMs
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-## 🧪 Intended Use
+## Intended Use
 
 * Research experiments
 * Educational purposes
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-## 🛠️ Reproducibility
+## Reproducibility
 
 The model was trained using:
 
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-## 📜 License
+## License
 
 This model follows the license of the underlying datasets and tokenizer.
 Please ensure compliance before commercial usage.
 
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-## 🙌 Acknowledgements
+## Acknowledgements
 
 * HuggingFace 🤗
 * PyTorch