focused key dump
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@@ -1,34 +1,32 @@
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#!/usr/bin/env python3
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"""Dump checkpoint key names and shapes."""
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"""Dump checkpoint key names for specific layers only."""
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import json
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from pathlib import Path
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from safetensors.torch import load_file
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CHECKPOINT_DIR = "/root/nvidia-meeting/DeepSeek-V4-Pro"
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def main():
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cdir = Path(CHECKPOINT_DIR)
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index_path = cdir / "model.safetensors.index.json"
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if index_path.exists():
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with open(index_path) as f:
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weight_map = json.load(f).get("weight_map", {})
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# Get all unique prefixes for layer 0-3 and 59-60
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for li in [0, 1, 2, 3, 59, 60]:
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prefix = f"model.layers.{li}."
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keys = sorted(k for k in weight_map if k.startswith(prefix))
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print(f"\n=== Layer {li} keys ({len(keys)} total) ===")
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for k in keys:
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print(f" {k}")
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# Also show non-layer keys
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other_keys = sorted(k for k in weight_map if not k.startswith("model.layers."))
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print(f"\n=== Non-layer keys ===")
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for k in other_keys:
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with open(index_path) as f:
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weight_map = json.load(f).get("weight_map", {})
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# Only show layer 0, 2, and 60 keys (non-expert)
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for li in [0, 2, 60]:
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prefix = f"model.layers.{li}."
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keys = sorted(k for k in weight_map if k.startswith(prefix))
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# Filter out individual expert weights
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filtered = [k for k in keys if '.experts.' not in k]
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print(f"\n=== Layer {li} keys ({len(filtered)} non-expert) ===")
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for k in filtered:
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print(f" {k}")
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else:
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print("No index file found, listing directory...")
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for f in sorted(cdir.glob("*.safetensors"))[:3]:
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print(f" {f.name}")
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# Non-layer keys (short list)
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other_keys = sorted(k for k in weight_map if not k.startswith("model.layers."))
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print(f"\n=== Non-layer keys ({len(other_keys)}) ===")
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for k in other_keys:
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print(f" {k}")
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if __name__ == "__main__":
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main()
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