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README.md

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 Compressed version of [Llama-2-7b](https://huggingface.co/meta-llama/Llama-2-7b-hf) specialized for code-generation.
 This model was obtained by fine-tuning the Sparse Foundational model [SparseLlama-2-7b-pruned_50.2of4](https://huggingface.co/nm-testing/SparseLlama-2-7b-pruned_50.2of4) on the [evol-codealpaca-v1](https://huggingface.co/datasets/theblackcat102/evol-codealpaca-v1) dataset.
-[SquareHead](https://arxiv.org/abs/2310.06927) knowledge distillation is used with [Llama-2-7b-evolcodealpaca](https://huggingface.co/neuralmagic/Llama-2-7b-evolcodealpaca) as teacher.
+[SquareHead](https://arxiv.org/abs/2310.06927) knowledge distillation was used with [Llama-2-7b-evolcodealpaca](https://huggingface.co/neuralmagic/Llama-2-7b-evolcodealpaca) as teacher.
 It achieves [HumanEval](https://arxiv.org/abs/2107.03374) pass@1 of 34.58%, whereas the dense [Llama-2-7b-evolcodealpaca](https://huggingface.co/neuralmagic/Llama-2-7b-evolcodealpaca) model achieves 32.03%.
 
 This model was produced as part if Neural Magic's Sparse Foundational Models initiative, and demostrates the capability of Sparse Foundational Models to transfer to the code-generation domain.