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README.md

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 - **Model Developers:** Neural Magic
 
 This is a multi-turn conversational AI model obtained by fine-tuning the 2:4 sparse [Sparse-Llama-3.1-8B-2of4](https://huggingface.co/neuralmagic/Sparse-Llama-3.1-8B-2of4) on the [ultrachat_200k](https://huggingface.co/datasets/HuggingFaceH4/ultrachat_200k) dataset.
-On the [AlpacaEval](https://github.com/tatsu-lab/alpaca_eval) benchmark (version 1), it achieves a score of 61.1, compared to 62.0 for the fine-tuned dense model [Llama-3.1-8B-ultrachat_200k](https://huggingface.co/neuralmagic/Llama-3.1-8B-ultrachat_200k) — demonstrating a **99.4% accuracy recovery**.
+On the [AlpacaEval](https://github.com/tatsu-lab/alpaca_eval) benchmark (version 1), it achieves a score of 61.1, compared to 62.0 for the fine-tuned dense model [Llama-3.1-8B-ultrachat_200k](https://huggingface.co/neuralmagic/Llama-3.1-8B-ultrachat_200k) — demonstrating a **98.5% accuracy recovery**.
 
 
 ### Model Optimizations