Update README.md

README.md

@@ -25,7 +25,10 @@ The weights are blended in a 9:1 ratio, with 90% of the weights from the abliter
 This is an experiment. I test the [9:1](https://huggingface.co/huihui-ai/QwQ-32B-Coder-Fusion-9010), 
 [8:2](https://huggingface.co/huihui-ai/QwQ-32B-Coder-Fusion-8020), 
 and [7:3](https://huggingface.co/huihui-ai/QwQ-32B-Coder-Fusion-7030) ratios separately to see how much impact they have on the model.   
-Now the effective ratios are 9:1, 8:2, and 7:3. Any other ratios (6:4,5:5) would result in mixed or unclear expressions.
+Now the effective ratios are 9:1, 8:2, and 7:3. Any other ratios (6:4,5:5) would result in mixed or unclear expressions.   
+
+Please refer to the mixed [source code](https://huggingface.co/huihui-ai/QwQ-32B-Coder-Fusion-9010/blob/main/merge_model_weights.py)。
+
 
 ## Model Details
 - **Base Models:**