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README.md
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@@ -207,4 +207,16 @@ which points to meaningful limitations of the existing evaluation benchmarks for
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| dolly-v1-6b (10 epochs) | 0.41 | 0.62963 | 0.643252 | 0.676758 | 0.384812 | 0.773667 | 0.687768 |
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| EleutherAI/gpt-neox-20b | 0.402 | 0.683923 | 0.656669 | 0.7142 | 0.408703 | 0.784004 | 0.695413 |
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# Happy Hacking!
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| dolly-v1-6b (10 epochs) | 0.41 | 0.62963 | 0.643252 | 0.676758 | 0.384812 | 0.773667 | 0.687768 |
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| EleutherAI/gpt-neox-20b | 0.402 | 0.683923 | 0.656669 | 0.7142 | 0.408703 | 0.784004 | 0.695413 |
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# Citation
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```
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@online{DatabricksBlog2023DollyV1,
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author = {Mike Conover and Matt Hayes and Ankit Mathur and Xiangrui Meng and Jianwei Xie and Jun Wan and Ali Ghodsi and Patrick Wendell and Matei Zaharia},
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title = {Hello Dolly: Democratizing the magic of ChatGPT with open models},
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year = {2023},
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url = {https://www.databricks.com/blog/2023/03/24/hello-dolly-democratizing-magic-chatgpt-open-models.html},
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urldate = {2023-06-30}
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}
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```
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# Happy Hacking!
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