Download evaluation/code/swift15/checkpoint.py from daavidhauser/Swift-1.5-Qwen3.8-27B-W4A16-HyperQwen: direct link, hf CLI and curl.
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https://huggingface.co/daavidhauser/Swift-1.5-Qwen3.8-27B-W4A16-HyperQwen/resolve/main/evaluation/code/swift15/checkpoint.py
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hf download hf://daavidhauser/Swift-1.5-Qwen3.8-27B-W4A16-HyperQwen/evaluation/code/swift15/checkpoint.py
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curl -L -o checkpoint.py https://huggingface.co/daavidhauser/Swift-1.5-Qwen3.8-27B-W4A16-HyperQwen/resolve/main/evaluation/code/swift15/checkpoint.py
3.66 kB
| """Prepare and audit a separate Swift baseline; never mutate the source checkpoint.""" | |
| import argparse | |
| import copy | |
| import json | |
| import os | |
| import shutil | |
| import subprocess | |
| import sys | |
| from pathlib import Path | |
| from common import ROOT, RUN, SOURCE, BASELINE, read_json, write_json, sha256, stamp | |
| def clone(source, destination): | |
| source, destination = Path(source), Path(destination) | |
| destination.mkdir(parents=True, exist_ok=True) | |
| for p in source.iterdir(): | |
| if not p.is_file() or ".bak" in p.name or p.name.endswith(".tmp"): | |
| continue | |
| target = destination / p.name | |
| if target.exists(): | |
| continue | |
| if p.suffix == ".safetensors": | |
| os.link(p, target) | |
| else: | |
| shutil.copy2(p, target) | |
| def audit(directory): | |
| from safetensors import safe_open | |
| directory = Path(directory) | |
| index = read_json(directory / "model.safetensors.index.json") | |
| mapping = index["weight_map"] | |
| actual = {} | |
| duplicates = [] | |
| total = 0 | |
| for name in sorted(set(mapping.values())): | |
| p = directory / name | |
| total += p.stat().st_size | |
| with safe_open(p, framework="pt") as f: | |
| for key in f.keys(): | |
| if key in actual: | |
| duplicates.append(key) | |
| actual[key] = name | |
| missing = sorted(set(mapping) - set(actual)) | |
| orphaned = sorted(set(actual) - set(mapping)) | |
| wrong = [k for k in mapping if actual.get(k) != mapping[k]] | |
| assert not (duplicates or missing or orphaned or wrong), (duplicates, missing, orphaned, wrong) | |
| config = read_json(directory / "config.json") | |
| result = {"time": stamp(), "directory": str(directory), "tensor_count": len(actual), | |
| "shard_bytes": total, "duplicate_keys": duplicates, | |
| "quantization": config["quantization_config"]} | |
| write_json(directory / "hyperqwen-audit.json", result) | |
| print("Verified", len(actual), "unique indexed tensors;", round(total / 2**30, 2), "GiB", flush=True) | |
| return result | |
| def baseline(): | |
| if (BASELINE / "hyperqwen-build.json").exists(): | |
| return audit(BASELINE) | |
| clone(SOURCE, BASELINE) | |
| index = read_json(BASELINE / "model.safetensors.index.json") | |
| if "lm_head.weight" in index["weight_map"]: | |
| subprocess.run([sys.executable, str(ROOT / "prepare/quant_heads_stream.py"), str(BASELINE)], check=True) | |
| if not (BASELINE / "mtp_draft_vocab_ids.pt").exists(): | |
| subprocess.run([sys.executable, str(ROOT / "prepare/build_draft_vocab.py"), str(BASELINE), | |
| "--ids", str(ROOT / "prepare/draft_vocab_ids.json")], check=True) | |
| # config.json is authoritative. Some exports carry a second quantization file. | |
| config = read_json(BASELINE / "config.json") | |
| if (BASELINE / "quantization_config.json").exists(): | |
| write_json(BASELINE / "quantization_config.json", config["quantization_config"]) | |
| write_json(BASELINE / "hyperqwen-build.json", { | |
| "created": stamp(), "source": read_json(RUN / "source.json"), | |
| "variant": "baseline", "body": "unchanged asymmetric AWQ INT4 group128", | |
| "embedding_bits": 8, "lm_head_bits": 8, "mtp_bits": 8, | |
| "preparation_script_sha256": sha256(ROOT / "prepare/quant_heads_stream.py"), | |
| "draft_vocabulary": "HyperQwen reference ids; rebuilt for Swift in fast variant", | |
| }) | |
| audit(BASELINE) | |
| if __name__ == "__main__": | |
| ap = argparse.ArgumentParser() | |
| ap.add_argument("action", choices=["baseline", "audit"]) | |
| ap.add_argument("--model", type=Path, default=BASELINE) | |
| args = ap.parse_args() | |
| baseline() if args.action == "baseline" else audit(args.model) | |