Update README.md

README.md

@@ -10,11 +10,11 @@ pipeline_tag: any-to-any
 
 本模型为 https://huggingface.co/inclusionAI/Ming-Lite-Omni-1.5 模型的 NF4 量化版本，可用官方代码直接加载使用，从而能使该项目在 24GB 消费级显卡内进行推理测试和学习研究。
 
-这里只是主模型部分的量化权重，其它部分如：connector / mlp / talker / transformer / vae 等，请从官方 repo 下载，其中 connector / transformer 也可以按需量化。
+这里只是主模型部分的量化权重，其它部分如：connector / mlp / talker / transformer / vae 等，请从官方 repo 下载，其中 transformer 也可以按需量化。
 
 This model is the NF4 quantized version of the model: https://huggingface.co/inclusionAI/Ming-Lite-Omni-1.5, it can be directly loaded using the official demo code, let the project can be perform inference testing and learning research on a 24GB consumer GPU.
 
-Here is only the quantized weights of the main model part. Other parts such as: connector / mlp / talker / transformer / vae, please download from the official repo, and the connector / transformer can also be quantized as needed.
+Here is only the quantized weights of the main model part. Other parts such as: connector / mlp / talker / transformer / vae, please download from the official repo, and the transformer part can also be quantized as needed.
 
 以下部分引用自原模型说明内容：