Update README.md

README.md

@@ -318,7 +318,7 @@ we have no enough resource to evaluate the model
 
 We discovered that the inputs and outputs of certain layers in this model are very large and even exceed the FP16 range when tested with a few prompts. It is recommended to exclude these layers from quantization—particularly the 'down_proj' in layer 60—and run them using BF16 precision instead. However, we have not implemented this in this int4 model as in cpu, the compute dtype for int4 is bf16 or FP32.
 
-~~~python
+```python
 model.layers.60.mlp.experts.150.down_proj tensor(1144.) tensor(2122.9451)
 model.layers.60.mlp.experts.231.down_proj tensor(25856.) tensor(12827.9980)
 model.layers.60.mlp.shared_experts.down_proj tensor(1880.) tensor(3156.7344)
@@ -328,11 +328,11 @@ model.layers.59.mlp.experts.138.down_proj tensor(1568.) tensor(190.8769)
 model.layers.60.mlp.experts.81.down_proj tensor(7360.) tensor(10024.4531)
 model.layers.60.mlp.experts.92.down_proj tensor(116224.) tensor(55192.4180)
 
-~~~
+```
 
 **1 add meta data to bf16 model** https://huggingface.co/opensourcerelease/DeepSeek-V3-bf16
 
-~~~python
+```python
 import safetensors
 from safetensors.torch import save_file
  
@@ -345,7 +345,7 @@ for i in range(1, 164):
         for key in f.keys():
             tensors[key] = f.get_tensor(key)
     save_file(tensors, safetensors_path, metadata={'format': 'pt'})
-~~~
+```