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---
library_name: transformers
license: llama2
---
# Llama-3-Smaug-8B
### Built with Meta Llama 3
This model was built using the Smaug recipe for improving performance on real world multi-turn conversations applied to
[meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B).
### Model Description
- **Developed by:** [Abacus.AI](https://abacus.ai)
- **License:** https://llama.meta.com/llama3/license/
- **Finetuned from model:** [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B).
## Evaluation
### MT-Bench
```
########## First turn ##########
score
model turn
Llama-3-Smaug-8B 1 8.79375
Meta-Llama-3-8B-Instruct 1 8.53125
########## Second turn ##########
score
model turn
Llama-3-Smaug-8B 2 7.7250
Meta-Llama-3-8B-Instruct 2 7.5500
########## Average ##########
score
model
Llama-3-Smaug-8B 8.259375
Meta-Llama-3-8B-Instruct 8.040625
```
| Model | First turn | Second Turn | Average |
| :---- | ---------: | ----------: | ------: |
| Llama-3-Smaug-8B | 8.79 | 7.73 | 8.26 |
| Llama-3-8B-Instruct | 8.53 | 7.55 | 8.04 |
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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