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README.md
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### Implementation Details
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- **Pruning Notebook:** [Detailed implementation and methodology](https://github.com/peremartra/Large-Language-Model-Notebooks-Course/blob/main/6-PRUNING/6_3_pruning_structured_llama3.2-1b_OK.ipynb)
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- **GitHub Repository:** [LLM Course](https://github.com/peremartra/Large-Language-Model-Notebooks-Course)
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### Pruning Method
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- **Technique:** Structured pruning targeting MLP layers
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- **Pruning Ratio:** 40% of neurons removed from MLP layers
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### Implementation Details
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- **Pruning Notebook:** [Detailed implementation and methodology](https://github.com/peremartra/Large-Language-Model-Notebooks-Course/blob/main/6-PRUNING/6_3_pruning_structured_llama3.2-1b_OK.ipynb)
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- **GitHub Repository:** [LLM Course](https://github.com/peremartra/Large-Language-Model-Notebooks-Course)
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- **Article explaining pruning methodology:**[How to Prune LLaMA 3.2 and Similar Large Language Models](https://towardsdatascience.com/how-to-prune-llama-3-2-and-similar-large-language-models-cf18e9a2afb6?sk=af4c5e40e967437325050f019b3ae606)
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-
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### Pruning Method
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- **Technique:** Structured pruning targeting MLP layers
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- **Pruning Ratio:** 40% of neurons removed from MLP layers
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