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--- |
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library_name: transformers |
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license: llama2 |
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--- |
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# Llama-3-Smaug-8B |
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### Built with Meta Llama 3 |
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/64c14f95cac5f9ba52bbcd7f/OrcJyTaUtD2HxJOPPwNva.png) |
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This model was built using the Smaug recipe for improving performance on real world multi-turn conversations applied to |
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[meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B). |
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### Model Description |
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- **Developed by:** [Abacus.AI](https://abacus.ai) |
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- **License:** https://llama.meta.com/llama3/license/ |
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- **Finetuned from model:** [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B). |
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## Evaluation |
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### MT-Bench |
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``` |
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########## First turn ########## |
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score |
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model turn |
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Llama-3-Smaug-8B 1 8.79375 |
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Meta-Llama-3-8B-Instruct 1 8.53125 |
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########## Second turn ########## |
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score |
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model turn |
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Llama-3-Smaug-8B 2 7.7250 |
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Meta-Llama-3-8B-Instruct 2 7.5500 |
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########## Average ########## |
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score |
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model |
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Llama-3-Smaug-8B 8.259375 |
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Meta-Llama-3-8B-Instruct 8.040625 |
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``` |
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| Model | First turn | Second Turn | Average | |
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| :---- | ---------: | ----------: | ------: | |
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| Llama-3-Smaug-8B | 8.79 | 7.73 | 8.26 | |
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| Llama-3-8B-Instruct | 8.53 | 7.55 | 8.04 | |
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This version of Smaug uses new techniques and new data compared to [Smaug-72B](https://huggingface.co/abacusai/Smaug-72B-v0.1), and more information will be released later on. For now, see the previous Smaug paper: https://arxiv.org/abs/2402.13228. |
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