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README.md

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 The second generation of the InternLM model, InternLM2, includes models at two scales: 7B and 20B. For the convenience of users and researchers, we have open-sourced four versions of each scale of the model, which are:
 
 - internlm2-base: A high-quality and highly adaptable model base, serving as an excellent starting point for deep domain adaptation.
-- internlm2 (**recommended**): Built upon the internlm2-base, this version has been enhanced in multiple capability directions. It shows outstanding performance in evaluations while maintaining robust general language abilities, making it our recommended choice for most applications.
-- internlm2-sft: Based on the Base model, it undergoes supervised human alignment training.
-- internlm2-chat (**recommended**): Optimized for conversational interaction on top of the internlm2-sft through RLHF, it excels in instruction adherence, empathetic chatting, and tool invocation.
+- internlm2 (**recommended**): Built upon the internlm2-base, this version has further pretrained on domain-specific corpus. It shows outstanding performance in evaluations while maintaining robust general language abilities, making it our recommended choice for most applications.
+- internlm2-chat-sft: Based on the Base model, it undergoes supervised human alignment training.
+- internlm2-chat (**recommended**): Optimized for conversational interaction on top of the internlm2-chat-sft through RLHF, it excels in instruction adherence, empathetic chatting, and tool invocation.
 
 The base model of InternLM2 has the following technical features:
 
@@ -95,9 +95,9 @@ The code is licensed under Apache-2.0, while model weights are fully open for ac
 第二代浦语模型， InternLM2 包含 7B 和 20B 两个量级的模型。为了方便用户使用和研究，每个量级的模型我们总共开源了四个版本的模型，他们分别是
 
 - internlm2-base: 高质量和具有很强可塑性的模型基座，是模型进行深度领域适配的高质量起点；
-- internlm2（**推荐**）: 在internlm2-base基础上，在多个能力方向进行了强化，在评测中成绩优异，同时保持了很好的通用语言能力，是我们推荐的在大部分应用中考虑选用的优秀基座；
-- internlm2-sft：在Base基础上，进行有监督的人类对齐训练；
-- internlm2-chat（**推荐**）：在internlm2-sft基础上，经过RLHF，面向对话交互进行了优化，具有很好的指令遵循、共情聊天和调用工具等的能力。
+- internlm2（**推荐**）: 在internlm2-base基础上，进一步在特定领域的语料上进行预训练，在评测中成绩优异，同时保持了很好的通用语言能力，是我们推荐的在大部分应用中考虑选用的优秀基座；
+- internlm2-chat-sft：在Base基础上，进行有监督的人类对齐训练；
+- internlm2-chat（**推荐**）：在internlm2-chat-sft基础上，经过RLHF，面向对话交互进行了优化，具有很好的指令遵循、共情聊天和调用工具等的能力。
 
 InternLM2 的基础模型具备以下的技术特点