993421bf59
post_quant assumed the source ships a standalone model-mtp.safetensors, which is how JonathanColetti's grafted head is packaged. MuXodious/absolute-heresy is an unmodified full checkpoint, so its mtp.* lives in model-00012-of-00012 -- the copy silently did nothing while the index was still rewritten to point at model-mtp.safetensors, leaving 15 unresolvable tensors. Tensor counts looked correct; the checkpoint would have failed at load. The existing FAILED-CHECKS assertion caught it, which is the design working. Now extracts from the numbered shard when the standalone file is absent. Verified on the heresy build: 1968 tensors, all resolvable, 15 mtp, 333 visual, no missing shards, no orphans.
130 lines
6.3 KiB
Python
130 lines
6.3 KiB
Python
#!/usr/bin/env python3
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"""Mandatory post-steps after quantizing Qwen3.8-27B via the wrapper class.
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The wrapper-class save drops the MTP head and the vision preprocessor configs.
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All three of these have bitten previous rounds:
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1. graft `model-mtp.safetensors` verbatim from the bf16 source and register its
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tensors in the output index (else no speculative decoding at all);
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2. restore preprocessor_config.json / processor_config.json /
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video_preprocessor_config.json (else the vision tower can't preprocess);
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3. VERIFY `re:^mtp.*` is in quantization_config.ignore -- if it is missing,
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vLLM loads the grafted bf16 MTP head as though it were quantized and it
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comes up uninitialised, giving 0% acceptance. This is THE bug that cost two
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prior rounds; it is verified here rather than assumed.
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"""
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import json, os, shutil, sys
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def main():
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src, out = sys.argv[1], sys.argv[2]
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fail = []
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# --- 1. MTP graft ---------------------------------------------------------
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# Two source layouts exist in the wild and both must work:
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# (a) a standalone `model-mtp.safetensors` -- how JonathanColetti ships its
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# grafted head, so a plain file copy suffices;
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# (b) mtp.* living inside a NUMBERED shard -- how MuXodious/absolute-heresy
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# ships (model-00012-of-00012.safetensors), because it is an unmodified
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# full checkpoint rather than a graft.
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# Handling only (a) leaves the output index pointing at a `model-mtp.safetensors`
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# that was never created: the checkpoint looks fine to a tensor count but every
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# mtp tensor is unresolvable at load. Extract instead of copy for (b).
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mtp_src = os.path.join(src, "model-mtp.safetensors")
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mtp_dst = os.path.join(out, "model-mtp.safetensors")
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if os.path.exists(mtp_dst):
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print("MTP shard already present in output")
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elif os.path.exists(mtp_src):
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print(f"copying MTP shard ({os.path.getsize(mtp_src)/1e9:.2f} GB) ...", flush=True)
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shutil.copy2(mtp_src, mtp_dst)
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else:
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# layout (b): materialise the standalone shard the index will reference
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idx_path = os.path.join(src, "model.safetensors.index.json")
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wm = json.load(open(idx_path))["weight_map"]
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shards = sorted({wm[k] for k in wm if k.startswith("mtp")})
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if not shards:
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fail.append(f"no mtp.* in {src} (neither model-mtp.safetensors nor any shard)")
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else:
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from safetensors import safe_open
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from safetensors.torch import save_file
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print(f"extracting mtp.* from {shards} -> model-mtp.safetensors ...", flush=True)
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tensors = {}
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for shard in shards:
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with safe_open(os.path.join(src, shard), framework="pt") as f:
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for k in f.keys():
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if k.startswith("mtp"):
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tensors[k] = f.get_tensor(k)
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save_file(tensors, mtp_dst, metadata={"format": "pt"})
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print(f" wrote {len(tensors)} tensors, "
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f"{os.path.getsize(mtp_dst)/1e6:.1f} MB")
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src_idx = json.load(open(os.path.join(src, "model.safetensors.index.json")))
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mtp_keys = [k for k in src_idx["weight_map"] if k.startswith("mtp")]
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out_idx_p = os.path.join(out, "model.safetensors.index.json")
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out_idx = json.load(open(out_idx_p))
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added = 0
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for k in mtp_keys:
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if k not in out_idx["weight_map"]:
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out_idx["weight_map"][k] = "model-mtp.safetensors"
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added += 1
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if added:
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json.dump(out_idx, open(out_idx_p, "w"), indent=2)
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print(f"MTP tensors in source: {len(mtp_keys)}; added to output index: {added}; "
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f"now present: {sum(1 for k in out_idx['weight_map'] if k.startswith('mtp'))}")
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if len(mtp_keys) == 0:
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fail.append("source index had NO mtp tensors")
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# --- 2. preprocessor / processor configs ---------------------------------
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for fn in ("preprocessor_config.json", "processor_config.json",
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"video_preprocessor_config.json", "chat_template.jinja",
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"generation_config.json"):
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s = os.path.join(src, fn)
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d = os.path.join(out, fn)
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if os.path.exists(s) and not os.path.exists(d):
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shutil.copy2(s, d)
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print(f"restored {fn}")
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elif os.path.exists(d):
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print(f"{fn} already present")
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else:
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print(f"NOTE: {fn} absent in source, skipped")
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if not os.path.exists(os.path.join(out, "preprocessor_config.json")):
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fail.append("preprocessor_config.json missing from output (vision will break)")
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# --- 3. verify the mtp ignore --------------------------------------------
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cfg_p = os.path.join(out, "config.json")
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cfg = json.load(open(cfg_p))
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ig = cfg.get("quantization_config", {}).get("ignore", [])
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has = any("mtp" in x for x in ig)
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if not has:
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# llm-compressor PRUNES ignore entries that matched no module at quant
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# time. The wrapper class never loads the MTP head, so `re:^mtp.*`
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# matches nothing and silently vanishes from the saved config -- and
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# then vLLM treats the freshly grafted bf16 MTP head as quantized and
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# brings it up uninitialised (0% acceptance). Re-inject it here, AFTER
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# the graft. This is the two-rounds-lost bug; repair, then re-verify.
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ig.append("re:^mtp.*")
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cfg["quantization_config"]["ignore"] = ig
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json.dump(cfg, open(cfg_p, "w"), indent=2)
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print("REPAIRED: re-injected 're:^mtp.*' into quantization_config.ignore "
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"(llm-compressor pruned it -- it matched no module at quant time)")
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cfg = json.load(open(cfg_p))
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ig = cfg["quantization_config"]["ignore"]
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has = any("mtp" in x for x in ig)
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print(f"quantization_config.ignore has an mtp entry: {has} "
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f"({[x for x in ig if 'mtp' in x]})")
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if not has:
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fail.append("re:^mtp.* NOT in ignore -- MTP would load uninitialised (0% acceptance)")
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# --- report ---------------------------------------------------------------
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print("\nformat:", cfg.get("quantization_config", {}).get("format"))
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print("config_groups:", list(cfg.get("quantization_config", {}).get("config_groups", {})))
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if fail:
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print("\nFAILED CHECKS:")
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for f in fail:
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print(" -", f)
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return 1
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print("\nall post-steps OK")
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return 0
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if __name__ == "__main__":
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sys.exit(main())
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