library_name: transformers
license: other
license_name: tongyi-qianwen
license_link: https://huggingface.co/Qwen/Qwen1.5-72B/blob/main/LICENSE
base_model: Qwen/Qwen1.5-72B-Chat
Model Card for Model ID
Introducing Smaug-2, the return of Smaug!
This version of Smaug is based on the Qwen1.5-72B-Chat model and has undergone further fine-tuning. It is specialised in the areas of reasoning and coding.
It outperforms Qwen1.5-72B-Chat on MT-Bench, as shown below.
MT-Bench
We ran MT-Bench with the Qwen conversation template.
Model | First Turn | Second Turn | Average |
---|---|---|---|
Qwen1.5-72B-Chat | 8.59 | 8.08 | 8.34 |
Smaug-2-72B | 8.86 | 8.20 | 8.53 |
HumanEval
We ran HumanEval with pass@1 with the Qwen conversation template. Smaug-2 outperforms Qwen1.5-72B-Chat by approximately 10%:
Model | pass@1 (%) |
---|---|
Qwen1.5-72B-Chat | 56.7 |
Smaug-2-72B | 66.5 |
This version of Smaug uses new techniques and new data compared to Smaug-72B, 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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