Update README.md

README.md

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 ## Highlights
 
 📚 **Math-First**: Trained on ~7K high-quality math and reasoning samples
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 🧠 **Chain-of-Thought**: Supports `/think` mode for detailed reasoning
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 ⚡ **Lightweight**: 3B parameters, runs on consumer GPUs
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 ## Training Details
 
 | Parameter | Value |
@@ -37,6 +40,7 @@ A math-focused fine-tuned version of SmolLM3-3B, optimized for step-by-step math
 | Epochs | 2 |
 | Learning Rate | 2e-4 (cosine) |
 | Effective Batch Size | 16 |
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 ## Usage
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer