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@@ -22,7 +22,7 @@ base_model: microsoft/Phi-3-medium-128k-instruct
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  - **Model Developers:** Neural Magic
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  Quantized version of [Phi-3-medium-128k-instruct](https://huggingface.co/microsoft/Phi-3-medium-128k-instruct), a 14 billion-parameter open model trained using the Phi-3 datasets.
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- It achieves an average score of 73.99 on the [OpenLLM](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) benchmark (version 1), whereas the unquantized model achieves 73.32.
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  ### Model Optimizations
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  - **Model Developers:** Neural Magic
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  Quantized version of [Phi-3-medium-128k-instruct](https://huggingface.co/microsoft/Phi-3-medium-128k-instruct), a 14 billion-parameter open model trained using the Phi-3 datasets.
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+ It achieves an average score of 74.04 on the [OpenLLM](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) benchmark (version 1), whereas the unquantized model achieves 74.10.
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  ### Model Optimizations
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