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README.md
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@@ -67,7 +67,7 @@ We used the [lm-evaluation-harness repository](https://github.com/EleutherAI/lm-
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| falcon-40b-instruct | 63.4 | 61.6 | 84.3 | 55.4 | 52.5 | | |
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### Scripts
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- Prepare evaluation environments:
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```
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# clone the repository
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## Ethical Issues
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### Ethical Considerations
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- There were no ethical issues involved, as we did not include the benchmark test set or the training set in the model's training process
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## Contact Us
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### Why Upstage LLM?
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- [Upstage](https://en.upstage.ai)'s LLM research has yielded remarkable results. Our 65B model **outperforms all 65B models around the world**, positioning itself as the leading performer. Recognizing the immense potential in implementing private LLM to actual businesses, we invite you to easily apply private LLM and fine-tune it with your own data. For a seamless and tailored solution, please do not hesitate to reach out to us. ► [click here to contact](https://www.upstage.ai/private-llm?utm_source=huggingface&utm_medium=link&utm_campaign=privatellm)
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| falcon-40b-instruct | 63.4 | 61.6 | 84.3 | 55.4 | 52.5 | | |
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### Scripts for H4 Score Reproduction
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- Prepare evaluation environments:
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```
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# clone the repository
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## Ethical Issues
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### Ethical Considerations
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+
- There were no ethical issues involved, as we did not include the benchmark test set or the training set in the model's training process
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## Contact Us
|
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### Why Upstage LLM?
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+
- [Upstage](https://en.upstage.ai)'s LLM research has yielded remarkable results. Our 65B model **outperforms all 65B models around the world**, positioning itself as the leading performer. Recognizing the immense potential in implementing private LLM to actual businesses, we invite you to easily apply private LLM and fine-tune it with your own data. For a seamless and tailored solution, please do not hesitate to reach out to us. ► [click here to contact](https://www.upstage.ai/private-llm?utm_source=huggingface&utm_medium=link&utm_campaign=privatellm)
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