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Update README.md (#16)

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@@ -210,16 +210,3 @@ model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/calme-2.1-qwen2-72b"
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  As with any large language model, users should be aware of potential biases and limitations. We recommend implementing appropriate safeguards and human oversight when deploying this model in production environments.
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- # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
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- Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_MaziyarPanahi__calme-2.1-qwen2-72b)
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- | Metric |Value|
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- |-------------------|----:|
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- |Avg. |43.61|
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- |IFEval (0-Shot) |81.63|
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- |BBH (3-Shot) |57.33|
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- |MATH Lvl 5 (4-Shot)|36.03|
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- |GPQA (0-shot) |17.45|
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- |MuSR (0-shot) |20.15|
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- |MMLU-PRO (5-shot) |49.05|
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  As with any large language model, users should be aware of potential biases and limitations. We recommend implementing appropriate safeguards and human oversight when deploying this model in production environments.
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