Upload merge_mtp.py with huggingface_hub
Browse files- merge_mtp.py +136 -0
merge_mtp.py
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#!/usr/bin/env python3
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"""Merge the AngelSpec MTP head into a base HYV3 model.
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The base model (e.g. ``Hy3_opensource``) already has the full transformer body
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(layers 0-79 + embeddings + lm_head + final norm) *and* its own MTP head at
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``model.layers.80.*``. This script produces a NEW model directory that is a copy
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of the base, but whose MTP head (layer 80) is replaced by the AngelSpec MTP
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weights exported in ``mtp.safetensors``.
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Result = base body + AngelSpec MTP head.
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Only the 5 shards that contain layer-80 tensors are rewritten. The other 94
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shards, together with the config / tokenizer / index files, are linked (or
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copied) verbatim from the base model, so the merge is fast and cheap.
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Usage:
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python merge_mtp.py \
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--base ORIGINAL_MODEL_PATH \
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--mtp MTP_WEIGHT_PATH \
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--out OUTPUT_WEIGHT_PATH \
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--link copy # symlink | hardlink | copy (how to bring over the 94 unchanged shards)
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"""
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import argparse
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import json
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import os
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import shutil
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from safetensors import safe_open
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from safetensors.torch import save_file
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MTP_PREFIX = "model.layers.80."
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def bring_over(src, dst, mode):
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"""Materialise an unchanged shard in the output dir according to *mode*."""
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if os.path.lexists(dst):
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os.remove(dst)
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if mode == "symlink":
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os.symlink(os.path.abspath(src), dst)
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elif mode == "hardlink":
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os.link(src, dst)
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elif mode == "copy":
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shutil.copy2(src, dst)
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else:
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raise ValueError(f"unknown link mode: {mode}")
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def main():
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ap = argparse.ArgumentParser()
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ap.add_argument("--base", required=True, help="Base full model directory (body comes from here)")
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ap.add_argument("--mtp", required=True, help="MTP export dir (contains mtp.safetensors)")
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ap.add_argument("--out", required=True, help="Output directory for the merged model")
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ap.add_argument("--link", default="symlink", choices=["symlink", "hardlink", "copy"],
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help="How to bring over the 94 unchanged shards (default: symlink)")
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ap.add_argument("--prefix", default=MTP_PREFIX, help="Tensor prefix of the MTP layer")
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args = ap.parse_args()
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os.makedirs(args.out, exist_ok=True)
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# --- 1. Load the base index and locate the MTP (layer-80) tensors ----------
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base_index_path = os.path.join(args.base, "model.safetensors.index.json")
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base_index = json.load(open(base_index_path))
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weight_map = base_index["weight_map"]
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mtp_keys = sorted(k for k in weight_map if k.startswith(args.prefix))
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if not mtp_keys:
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raise SystemExit(f"No {args.prefix!r} tensors found in {base_index_path}")
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mtp_shards = sorted({weight_map[k] for k in mtp_keys})
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all_shards = sorted(set(weight_map.values()))
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print(f"MTP layer has {len(mtp_keys)} tensors across {len(mtp_shards)} shards.")
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print(f"Base model has {len(all_shards)} shards total; "
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f"{len(all_shards) - len(mtp_shards)} will be linked verbatim.")
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# --- 2. Load replacement MTP tensors from the export -----------------------
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mtp_file = os.path.join(args.mtp, "mtp.safetensors")
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new_mtp = {}
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with safe_open(mtp_file, framework="pt", device="cpu") as f:
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exported = set(f.keys())
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missing = set(mtp_keys) - exported
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if missing:
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raise SystemExit(f"{len(missing)} MTP tensors missing from {mtp_file}, "
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f"e.g. {sorted(missing)[:3]}")
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for k in mtp_keys:
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new_mtp[k] = f.get_tensor(k)
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# Sanity check: shapes/dtypes must match what the base expects.
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for shard in mtp_shards:
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with safe_open(os.path.join(args.base, shard), framework="pt", device="cpu") as f:
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for k in [k for k in mtp_keys if weight_map[k] == shard]:
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bt = f.get_slice(k)
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bshape = tuple(bt.get_shape())
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if bshape != tuple(new_mtp[k].shape):
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raise SystemExit(f"Shape mismatch for {k}: base {bshape} vs mtp {tuple(new_mtp[k].shape)}")
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# --- 3. Bring over the unchanged shards ------------------------------------
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for shard in all_shards:
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if shard in mtp_shards:
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continue
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bring_over(os.path.join(args.base, shard), os.path.join(args.out, shard), args.link)
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print(f"Linked {len(all_shards) - len(mtp_shards)} unchanged shards ({args.link}).")
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# --- 4. Rewrite the MTP-containing shards with the new head ----------------
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for shard in mtp_shards:
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src = os.path.join(args.base, shard)
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tensors = {}
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with safe_open(src, framework="pt", device="cpu") as f:
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for k in f.keys():
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tensors[k] = f.get_tensor(k)
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replaced = 0
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for k in tensors:
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if k in new_mtp:
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tensors[k] = new_mtp[k]
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replaced += 1
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save_file(tensors, os.path.join(args.out, shard), metadata={"format": "pt"})
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print(f" rewrote {shard}: replaced {replaced} MTP tensors "
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f"(kept {len(tensors) - replaced} base tensors)")
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# --- 5. Copy every non-shard file (config, tokenizer, index, ...) ----------
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for name in sorted(os.listdir(args.base)):
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src = os.path.join(args.base, name)
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if not os.path.isfile(src):
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continue
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if name.endswith(".safetensors"): # shards handled above
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continue
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shutil.copy2(src, os.path.join(args.out, name))
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print("Copied config / tokenizer / index and other metadata files.")
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print(f"\nDone. Merged model written to: {args.out}")
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if args.link == "symlink":
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print("NOTE: unchanged shards are symlinks into the base model. Keep the base "
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"model in place, or re-run with --link copy to make a self-contained copy.")
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| 135 |
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if __name__ == "__main__":
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main()
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