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@@ -172,4 +172,16 @@ It underperforms `dolly-v1-6b` in the evaluation benchmarks, which is not surpri
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  | databricks/dolly-v1-6b | 0.41 | 0.62963 | 0.643252 | 0.676758 | 0.384812 | 0.773667 | 0.687768 | 0.583431 |
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  | EleutherAI/gpt-neox-20b | 0.402 | 0.683923 | 0.656669 | 0.7142 | 0.408703 | 0.784004 | 0.695413 | 0.602236 |
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  # Happy Hacking!
 
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  | databricks/dolly-v1-6b | 0.41 | 0.62963 | 0.643252 | 0.676758 | 0.384812 | 0.773667 | 0.687768 | 0.583431 |
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  | EleutherAI/gpt-neox-20b | 0.402 | 0.683923 | 0.656669 | 0.7142 | 0.408703 | 0.784004 | 0.695413 | 0.602236 |
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+ # Citation
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+
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+ ```
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+ @online{DatabricksBlog2023DollyV2,
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+ author = {Mike Conover and Matt Hayes and Ankit Mathur and Jianwei Xie and Jun Wan and Sam Shah and Ali Ghodsi and Patrick Wendell and Matei Zaharia and Reynold Xin},
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+ title = {Free Dolly: Introducing the World's First Truly Open Instruction-Tuned LLM},
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+ year = {2023},
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+ url = {https://www.databricks.com/blog/2023/04/12/dolly-first-open-commercially-viable-instruction-tuned-llm},
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+ urldate = {2023-06-30}
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+ }
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+ ```
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+
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  # Happy Hacking!