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  <p><img src="https://huggingface.co/perlthoughts/Chupacabra-7B/resolve/main/chupacabra.jpeg" width=320></p>
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- As a very young (mad)lad, I knew my purpose in life was to merge with the most thick model weights using the most amazing training methods like deep probabilistic optimization (dpo) and reinforced learning.
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- it has been a daunting task catching up. I spent countless hours studying the latest research papers, attending conferences, and networking with experts in the field. I experimented with different algorithms, tactics, fine-tuned hyperparameters, optimizers,
 
 
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  and optimized code until i achieved the best possible results.
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  It has not been without challenges. there were skeptics who doubted my abilities and questioned my approach. approach can be changed, but a closed mind cannot.
 
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  <p><img src="https://huggingface.co/perlthoughts/Chupacabra-7B/resolve/main/chupacabra.jpeg" width=320></p>
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+ ## Purpose
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+ Merging the "thick"est model weights from mistral models using amazing training methods like deep probabilistic optimization (dpo) and reinforced learning.
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+
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+ I have spent countless hours studying the latest research papers, attending conferences, and networking with experts in the field. I experimented with different algorithms, tactics, fine-tuned hyperparameters, optimizers,
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  and optimized code until i achieved the best possible results.
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  It has not been without challenges. there were skeptics who doubted my abilities and questioned my approach. approach can be changed, but a closed mind cannot.