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README.md

@@ -165,7 +165,7 @@ for name, p in sorted(model.named_parameters()):
     all_numels += p.numel()
 with torch.no_grad():
     for name, p in sorted(model.named_parameters()):
-        # torch.nn.init.normal_(p, 0, 0.2)
+        torch.nn.init.normal_(p, 0, 0.2)
         print(name, p.shape, f'{p.numel() / all_numels * 100: .4f}%')
 model.save_pretrained(save_folder)
 ```

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d8c25dcca610e67018af21d10d733eedf1a2fbacfbc2f9dc2b96e6976bd31538
+oid sha256:07cf4ccabeb400baa5b96ad6df316bb7ff86578f9450bf5b1e2a226e15c448f5
 size 23576116