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@@ -18,7 +18,7 @@ This model is fine-tuned to convert legal documents into human-readable summarie
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  This is a fine-tuned version of NousResearch/Meta-Llama-3-8B-Instruct, optimized for summarizing legal documents in plain English. The model uses Parameter-Efficient Fine-Tuning (PEFT) methods, specifically LoRA, to achieve performance comparable to full fine-tuning while using significantly fewer computational resources.
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- - **Developed by:** [Your Username]
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  - **Model type:** Causal Language Model (LLaMA 3 Architecture)
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  - **Language(s):** English
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  - **License:** [Base model license applies]
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  ### Model Sources
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  - **Base Model:** [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct)
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- - **Training Code:** Based on LLM Engineering Challenge
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  ## Uses
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  This is a fine-tuned version of NousResearch/Meta-Llama-3-8B-Instruct, optimized for summarizing legal documents in plain English. The model uses Parameter-Efficient Fine-Tuning (PEFT) methods, specifically LoRA, to achieve performance comparable to full fine-tuning while using significantly fewer computational resources.
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+ - **Developed by:** jcbthnflrs
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  - **Model type:** Causal Language Model (LLaMA 3 Architecture)
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  - **Language(s):** English
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  - **License:** [Base model license applies]
 
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  ### Model Sources
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  - **Base Model:** [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct)
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+ - **Training Code:** Based on LLM Engineering Challenge from AI Makerspace
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  ## Uses
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