Update README.md

README.md

@@ -24,7 +24,11 @@ The weights are blended in a 7:3 ratio, with 70% of the weights from QwQ-32B-Pre
 **Although it's a simple mix, the model is usable, and no gibberish has appeared**.
 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.
+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.   
+
+
+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:**