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@@ -13,11 +13,11 @@ tags:
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  - PEFT
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  - Quantization
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  ---
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- # NeuroBit LLM
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  ## Overview
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- The **Neurobit LLM** is a state-of-the-art fine-tuned model derived from **Meta-Llama-3.1-8B-bnb-4bit**, purpose-built to deliver high-quality educational content. Designed to meet the needs of students and educators, this model leverages advanced techniques, including **LoRA**, **PEFT**, and **RSLoRA**, to generate accurate, contextually relevant, and engaging outputs. We're naming it **NeuroBit-1.0-Exp** to signify its status as an experimental prototype, pushing the boundaries of innovation.
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  This model supports a wide range of educational applications, from summarization to personalized study guide generation, and has been optimized for efficiency with 4-bit quantization.
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@@ -137,8 +137,8 @@ To generate high-quality educational content tailored for diverse academic needs
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  If you use this model in your work, please cite it as follows:
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  ```bibtex
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- @misc{169Pi_neurobit_llm,
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- title={169Pi/neurobit_llm: Fine-Tuned Educational Model},
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  author={169Pi},
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  year={2024},
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  publisher={Hugging Face},
 
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  - PEFT
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  - Quantization
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  ---
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+ # NeuroBit-1.0-Exp LLM
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  ## Overview
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+ The **Neurobit-1.0-Exp** is a state-of-the-art fine-tuned model derived from **Meta-Llama-3.1-8B-bnb-4bit**, purpose-built to deliver high-quality educational content. Designed to meet the needs of students and educators, this model leverages advanced techniques, including **LoRA**, **PEFT**, and **RSLoRA**, to generate accurate, contextually relevant, and engaging outputs. We're naming it **NeuroBit-1.0-Exp** to signify its status as an experimental prototype, pushing the boundaries of innovation.
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  This model supports a wide range of educational applications, from summarization to personalized study guide generation, and has been optimized for efficiency with 4-bit quantization.
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  If you use this model in your work, please cite it as follows:
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  ```bibtex
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+ @misc{169Pi_neuroBit-1.0-exp_llm,
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+ title={169Pi/neuroBit-1.0-exp_llm: Fine-Tuned Educational Model},
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  author={169Pi},
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  year={2024},
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  publisher={Hugging Face},