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Update app.py
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app.py
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@@ -86,7 +86,7 @@ def main():
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st.set_page_config(page_title="YALL - Yet Another LLM Leaderboard", layout="wide")
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st.title("π YALL - Yet Another LLM Leaderboard")
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st.markdown("Leaderboard made with
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content = create_yall()
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tab1, tab2 = st.tabs(["π Leaderboard", "π About"])
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@@ -137,7 +137,7 @@ def main():
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help="Number of likes on Hugging Face",
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format="%d β€οΈ",
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),
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"URL": st.column_config.LinkColumn("
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},
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hide_index=True,
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)
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@@ -179,7 +179,7 @@ def main():
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### Reproducibility
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You can easily reproduce these results using
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### Clone this space
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st.set_page_config(page_title="YALL - Yet Another LLM Leaderboard", layout="wide")
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st.title("π YALL - Yet Another LLM Leaderboard")
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st.markdown("Leaderboard made with π§ [LLM AutoEval](https://github.com/mlabonne/llm-autoeval) using [Nous](https://huggingface.co/NousResearch) benchmark suite.")
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content = create_yall()
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tab1, tab2 = st.tabs(["π Leaderboard", "π About"])
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help="Number of likes on Hugging Face",
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format="%d β€οΈ",
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),
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"URL": st.column_config.LinkColumn("URL"),
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},
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hide_index=True,
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)
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### Reproducibility
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You can easily reproduce these results using π§ [LLM AutoEval](https://github.com/mlabonne/llm-autoeval/tree/master), a colab notebook that automates the evaluation process (benchmark: `nous`). This will upload the results to GitHub as gists. You can find the entire table with the links to the detailed results [here](https://gist.github.com/mlabonne/90294929a2dbcb8877f9696f28105fdf).
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### Clone this space
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