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@@ -12,7 +12,7 @@ Based on our internal testing, ExCoT delivered state-of-the-art results on the [
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  * [Llama-3.1-Arctic-ExCoT-70B](https://huggingface.co/Snowflake/Llama-3.1-Arctic-ExCoT-70B) improved execution accuracy on the BIRD-dev set from the base model’s 57.37% to 68.51%. [Qwen-2.5-coder-Arctic-ExCoT-32B](https://huggingface.co/Snowflake/Qwen-2.5-coder-Arctic-ExCoT-32B) achieved similarly strong gains.
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- * Both models significantly outperformed other well-known frontier general-purpose models, achieving over 10 percentage points of improvement.
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  For more details about ExCoT and how to use it:
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  * [Llama-3.1-Arctic-ExCoT-70B](https://huggingface.co/Snowflake/Llama-3.1-Arctic-ExCoT-70B) improved execution accuracy on the BIRD-dev set from the base model’s 57.37% to 68.51%. [Qwen-2.5-coder-Arctic-ExCoT-32B](https://huggingface.co/Snowflake/Qwen-2.5-coder-Arctic-ExCoT-32B) achieved similarly strong gains.
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+ * Both models significantly outperformed other well-known frontier general-purpose models, achieving over 10 points of improvement.
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  For more details about ExCoT and how to use it:
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