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@@ -133,7 +133,7 @@ pipeline_tag: text-generation
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  >
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  > The Yi series models adopt the same model architecture as Llama but are **NOT** derivatives of Llama.
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- - Both Yi and Llama are all based on the Transformer structure, which has been the standard architecture for large language models since 2018.
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  - Grounded in the Transformer architecture, Llama has become a new cornerstone for the majority of state-of-the-art open-source models due to its excellent stability, reliable convergence, and robust compatibility. This positions Llama as the recognized foundational framework for models including Yi.
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  ## News
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  <details open>
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  <summary>🔔 <b>2024-03-07</b>: The long text capability of the Yi-34B-200K has been enhanced. </summary>
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  <br>
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- In the "Needle-in-a-Haystack" test, the Yi-34B-200K's performance is improved by 10.5%, rising from 89.3% to an impressive 99.8%. We continue to pretrain the model on 5B tokens long-context data mixture and demonstrate a near-all-green performance.
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  </details>
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  <details open>
 
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  >
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  > The Yi series models adopt the same model architecture as Llama but are **NOT** derivatives of Llama.
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+ - Both Yi and Llama are based on the Transformer structure, which has been the standard architecture for large language models since 2018.
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  - Grounded in the Transformer architecture, Llama has become a new cornerstone for the majority of state-of-the-art open-source models due to its excellent stability, reliable convergence, and robust compatibility. This positions Llama as the recognized foundational framework for models including Yi.
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  ## News
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+ <details open>
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+ <summary>🎯 <b>2024-03-08</b>: <a href="https://arxiv.org/abs/2403.04652">Yi Tech Report</a> is published! </summary>
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+ </details>
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+
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+
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  <details open>
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  <summary>🔔 <b>2024-03-07</b>: The long text capability of the Yi-34B-200K has been enhanced. </summary>
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  <br>
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+ In the "Needle-in-a-Haystack" test, the Yi-34B-200K's performance is improved by 10.5%, rising from 89.3% to an impressive 99.8%. We continue to pre-train the model on 5B tokens long-context data mixture and demonstrate a near-all-green performance.
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  </details>
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  <details open>