Text Generation
Transformers
PyTorch
English
gptj
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add citation

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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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+ ```
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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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+
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  # Happy Hacking!