Update README.md

README.md

@@ -15,4 +15,5 @@ Based on my experience, Q4_K_S and Q4_K_S are usually the balance points between
 In some benchmarks, selecting a large-parameter low-quantization LLM tends to perform better than a small-parameter high-quantization LLM.
 
 根据我的经验，通常Q4_K_S、Q4_K_S是模型尺寸/量化/速度的平衡点
-在一些基准测试下，选择大参数低量化的LLM，要比小参数高量化的LLM要好
+
+在某些基准测试中，选择大参数低量化模型往往比选择小参数高量化模型表现更好。