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@@ -28,6 +28,7 @@ This fine-tuned Llama model specializes in **metallurgy, materials science, and
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  ## 🛠️ Training Details
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  This model was fine-tuned with:
 
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  - **[Unsloth](https://github.com/unslothai/unsloth):** Enabled 2x faster training using efficient parameter optimization.
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  - **[Hugging Face TRL](https://huggingface.co/transformers/main_classes/trainer.html):** Used for advanced fine-tuning and training capabilities.
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@@ -35,6 +36,8 @@ Fine-tuning focused on enhancing domain-specific knowledge using a dataset curat
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  ---
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  ## 🔑 Features
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  - Supports **text generation** with scientific and technical insights.
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  - Provides **domain-specific reasoning** with references to key metallurgical principles and mechanisms.
 
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  ## 🛠️ Training Details
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  This model was fine-tuned with:
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  - **[Unsloth](https://github.com/unslothai/unsloth):** Enabled 2x faster training using efficient parameter optimization.
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  - **[Hugging Face TRL](https://huggingface.co/transformers/main_classes/trainer.html):** Used for advanced fine-tuning and training capabilities.
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  ---
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+ #### For a detailed walkthrough of the fine-tuning process, refer to this [notebook](https://colab.research.google.com/drive/1HQbdYL27sOCMGiNy0r4-6CVKOFu0TITS?usp=drive_link).
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  ## 🔑 Features
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  - Supports **text generation** with scientific and technical insights.
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  - Provides **domain-specific reasoning** with references to key metallurgical principles and mechanisms.