Update README.md

README.md

@@ -25,7 +25,7 @@ During the alignment phase, we initially trained our model using 1 million sampl
 
 ## <span id="Evaluation">Evaluation</span>
 
-We have evaluated Nanbeige2-8B-Chat's general question-answering capabilities and human preference alignments on several popular benchmark datasets. The model has achieved notable results in single-turn English QA ([AlpacaEval 2.0](https://tatsu-lab.github.io/alpaca_eval/)), single-turn Chinese QA ([AlignBench](https://github.com/THUDM/AlignBench)), and multi-turn English QA ([MT-Bench](https://arxiv.org/abs/2306.05685)).
+We have evaluated Nanbeige2-16B-Chat's general question-answering capabilities and human preference alignments on several popular benchmark datasets. The model has achieved notable results in single-turn English QA ([AlpacaEval 2.0](https://tatsu-lab.github.io/alpaca_eval/)), single-turn Chinese QA ([AlignBench](https://github.com/THUDM/AlignBench)), and multi-turn English QA ([MT-Bench](https://arxiv.org/abs/2306.05685)).
 
 | AlpacaEval 2.0(LC Win Rate/ Win Rate) | AlignBench | MT-Bench |
 |:--------------:|:----------:|:--------:|