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README.md

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 **Introduction**
 
-Kwai-Coder-DS-V2-Lite-Base is built on Deepseek-v2-Lite-Base, which has a total of 16B parameters and 2.4B activated parameters. It supports both English and Chinese and underwent Continue Pretraining on 800B tokens of high-quality code, math, and Chinese-English text data. The training data consists of 70% code data, 20% math data, and 10% text data (including a large amount of code-related text data). Ultimately, the base model achieved SOTA levels in multiple benchmarks.
+Kwai-Coder-DS-V2-Lite-Base is built on Deepseek-v2-Lite-Base, which has a total of 16B parameters and 2.4B activated parameters. It supports both English and Chinese and underwent continue pretraining on 800B tokens of high-quality code, math, and Chinese-English text data. The training data consists of 70% code data, 20% math data, and 10% text data (including a large amount of code-related text data). Ultimately, the base model achieved SOTA levels in multiple benchmarks.
 
 **Performance**