diff --git a/tools/prune.py b/tools/prune.py
new file mode 100644
index 0000000..199960b
--- /dev/null
+++ b/tools/prune.py
@@ -0,0 +1,38 @@
+import os
+import argparse
+import torch
+from tqdm import tqdm
+
+parser = argparse.ArgumentParser(description="Prune a model")
+parser.add_argument("model_prune", type=str, help="Path to model to prune")
+parser.add_argument("prune_output", type=str, help="Path to pruned ckpt output")
+parser.add_argument("--half", action="store_true", help="Save weights in half precision.")
+args = parser.parse_args()
+
+print("Loading model...")
+model_prune = torch.load(args.model_prune)
+theta_prune = model_prune["state_dict"]
+theta = {}
+
+print("Pruning model...")
+for key in tqdm(theta_prune.keys(), desc="Pruning keys"):
+    if "model" in key:
+        theta.update({key: theta_prune[key]})
+
+del theta_prune
+
+if args.half:
+    print("Halving model...")
+    state_dict = {k: v.half() for k, v in theta.items()}
+else:
+    state_dict = theta
+
+del theta
+
+print("Saving pruned model...")
+
+torch.save({"state_dict": state_dict}, args.prune_output)
+
+del state_dict
+
+print("Done pruning!")
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