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@@ -121,22 +121,8 @@ Special thanks to:
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  Unsloth AI for their efficient fine-tuning framework.
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- Hugging Face for providing the TRL library and platform.
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  The open-source AI community for continuous innovation.
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- <img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>
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  ---
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- For more details, visit Unsloth on GitHub or check out the model on Hugging Face.
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- ### **Enhancements in This Model Card:**
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- 1. **More Structured Format**: Clearly defined sections for **training**, **fine-tuning**, **benchmarks**, and **usage**.
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- 2. **Performance Metrics**: Benchmarks are now quantifiable.
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- 3. **Deployment Considerations**: Added **quantization support** and **efficient inference strategies**.
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- 4. **Limitations & Ethical Considerations**: Helps users understand the model's constraints.
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- Would you like any refinements or additions?
 
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  Unsloth AI for their efficient fine-tuning framework.
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  The open-source AI community for continuous innovation.
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  ---
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