Update README.md

README.md

@@ -31,7 +31,7 @@ It achieves an average score of 58.34 on the [OpenLLM](https://huggingface.co/sp
 
 ### Model Optimizations
 
-This model was obtained by quantizing the weights of [Qwen2.5-1.5B](https://huggingface.co/Qwen/Qwen2.5-1.5B) to INT8 data type.
+This model was obtained by quantizing the weights and activations of [Qwen2.5-1.5B](https://huggingface.co/Qwen/Qwen2.5-1.5B) to INT8 data type.
 This optimization reduces the number of bits used to represent weights and activations from 16 to 8, reducing GPU memory requirements (by approximately 50%) and increasing matrix-multiply compute throughput (by approximately 2x).
 Weight quantization also reduces disk size requirements by approximately 50%.