Update README.md

README.md

@@ -10,10 +10,10 @@ quantized_by: btaskel
 From Seikaijyu/RWKV6-3B-v2.1-Aphrodite-yandere-chat:
 https://huggingface.co/Seikaijyu/RWKV6-3B-v2.1-Aphrodite-yandere-chat
 
-Based on my experience, Q4_K_S and Q4_K_S are usually the balance points between model size, quantization, and speed.
+Based on my experience, Q4_K_S and Q4_K_M are usually the balance points between model size, quantization, and speed.
 
 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
+根据我的经验，通常Q4_K_S、Q4_K_M是模型尺寸/量化/速度的平衡点
 
 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。