Update README.md

README.md

@@ -20,7 +20,7 @@ Qwen-7B is the 7B-parameter version of the large language model series, Qwen (ab
 
 1. **Trained with high-quality pretraining data**. We have pretrained Qwen-7B on a self-constructed large-scale high-quality dataset of over 2.2 trillion tokens. The dataset includes plain texts and codes, and it covers a wide range of domains, including general domain data and professional damain data.
 2. **Strong performance**. In comparison with the models of the similar model size, we outperform the competitors on a series of benchmark datasets, which evaluates natural language understanding, mathematics, coding, etc.
-3. **Better support of languages**. Our tokenizer, based on a large vocabulary of over 150K tokens, is a more efficient one compared with other tokenizers. It is friendly to many languages, and it is helpful for users to further finetune `Qwen-7B` for the extension of understanding a certain language.
+3. **Better support of languages**. Our tokenizer, based on a large vocabulary of over 150K tokens, is a more efficient one compared with other tokenizers. It is friendly to many languages, and it is helpful for users to further finetune Qwen-7B for the extension of understanding a certain language.
 4. **Support of 8K Context Length**. Both Qwen-7B and Qwen-7B-Chat supports the context length of 8K, which allows inputs with long contexts.
 5. **Support of Plugins**. Qwen-7B-Chat is trained with plugin-related alignment data, and thus it is capable of using tools, including APIs, models, databases, etc., and it is capable of playing as an agent.