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@@ -6,4 +6,15 @@ base_model: mlx-community/Meta-Llama-3-8B-Instruct-4bit
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  Finetuned model [mlx-community/Meta-Llama-3-8B-Instruct-4bit](https://huggingface.co/mlx-community/Meta-Llama-3-8B-Instruct-4bit) with dataset of interviews/speeches of President of Argentina, Javier Milei
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- Thank you to @machinelernar for providing the dataset [machinelearnear/multiturn_chat_milei_gpt](https://huggingface.co/datasets/machinelearnear/multiturn_chat_milei_gpt)
 
 
 
 
 
 
 
 
 
 
 
 
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  Finetuned model [mlx-community/Meta-Llama-3-8B-Instruct-4bit](https://huggingface.co/mlx-community/Meta-Llama-3-8B-Instruct-4bit) with dataset of interviews/speeches of President of Argentina, Javier Milei
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+ Trained on Apple silicon using MLX, on a M2 Macbook Pro 64GB.
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+ Thank you to @machinelernar for providing the dataset [machinelearnear/multiturn_chat_milei_gpt](https://huggingface.co/datasets/machinelearnear/multiturn_chat_milei_gpt)
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+ @software{mlx2023,
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+ author = {Awni Hannun and Jagrit Digani and Angelos Katharopoulos and Ronan Collobert},
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+ title = {{MLX}: Efficient and flexible machine learning on Apple silicon},
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+ url = {https://github.com/ml-explore},
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+ version = {0.0},
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+ year = {2023},
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+ }