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  - **License:** apache-2.0
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  - **Finetuned from model :** unsloth/llama-3.2-3b-unsloth-bnb-4bit
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- This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
 
 
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- [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
 
 
 
 
 
 
 
 
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  - **License:** apache-2.0
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  - **Finetuned from model :** unsloth/llama-3.2-3b-unsloth-bnb-4bit
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+ # Datasets Used
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+ - **1.** https://huggingface.co/datasets/mlabonne/FineTome-100k
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+ - **2.** https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered
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+ # Updates
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+ - This version now prints the tokenizer bs I was talking about in my previous version, it could be due to the dataset or how I've prepared the data.
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+ Regardless, multi-turn datasets were too much for me to handle anyways.
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+ - model does not refuse to anything yet.
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+ # To Do
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+ - Scrap or finetune this, not sure anyways