provide to configure storing weights

run_test.py

@@ -1,6 +1,7 @@
 #!/usr/bin/env python3
 import os, sys
 
+STORE_WEIGHTS = False
 model_id, revision = sys.argv[1:]
 user, model = model_id.split('/')
 fn = f'{user}_{model}_{revision}.logits.safetensors'
@@ -50,7 +51,7 @@ def hook(module, inputs, outputs):
         for idx, output in enumerate(outputs):
             if isinstance(output, torch.Tensor):
                 store_tensor(f'{name}.output.{idx}', output);
-    if not list(module.children())
+    if STORE_WEIGHTS and not list(module.children()):
         for wtname, wt in list(module.named_parameters()) + list(module.named_buffers()):
             store_tensor(f'{name}.{wtname}', wt)
     IDX += 1