Update README.md

README.md

@@ -24,7 +24,7 @@ library_name: transformers
 
 ## Introduction
 
-We introduce **Intern-S1-Pro**, a trillion-scale MoE multimodal scientific reasoning model. The model delivers top-tier performance on advanced reasoning benchmarks and achieves leading results across key AI4Science domains (chemistry, materials, life-science, earth, etc.), while maintaining strong general multimodal and text capabilities.
+We introduce **Intern-S1-Pro**, a trillion-scale MoE multimodal scientific reasoning model. Intern-S1-Pro scales to 1T total parameters with 512 experts, activating 8 experts per token (22B activated parameters). The model delivers top-tier performance on advanced reasoning benchmarks and achieves leading results across key AI4Science domains (chemistry, materials, life-science, earth, etc.), while maintaining strong general multimodal and text capabilities.
 
 ### Features
 
@@ -42,7 +42,7 @@ We evaluate the Intern-S1-Pro on various benchmarks, including general datasets
 
 > **Note**: <u>Underline</u> means the best performance among open-sourced models, **Bold** indicates the best performance among all models.
 
-We use the [OpenCompass](https://github.com/open-compass/OpenCompass/) and [VLMEvalkit](https://github.com/open-compass/vlmevalkit) to evaluate all models.
+We use the [OpenCompass](https://github.com/open-compass/OpenCompass/) and [VLMEvalKit](https://github.com/open-compass/vlmevalkit) to evaluate all models.
 
 
 ## Quick Start
@@ -60,7 +60,7 @@ temperature = 0.8
 
 ### Serving
 
-InternS1-Pro can be deployed using any of the following LLM inference frameworks:
+Intern-S1-Pro can be deployed using any of the following LLM inference frameworks:
 
 - LMDeploy
 - vLLM