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Download scripts/make_lalamo_eval_copy.py from yamahei21/uzu-quant-kit: direct link, hf CLI and curl.
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https://huggingface.co/datasets/yamahei21/uzu-quant-kit/resolve/main/scripts/make_lalamo_eval_copy.py
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hf download hf://datasets/yamahei21/uzu-quant-kit/scripts/make_lalamo_eval_copy.py
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curl -L -o make_lalamo_eval_copy.py https://huggingface.co/datasets/yamahei21/uzu-quant-kit/resolve/main/scripts/make_lalamo_eval_copy.py
3.64 kB
| #!/usr/bin/env python3 | |
| """Create a lalamo-loadable evaluation copy from a uzu-normalized model directory. | |
| Conversion rewrites two things for uzu: | |
| * config.json (strict fields, no response_format) | |
| * HybridSpec metadata (flat form, original kept as model.safetensors.lalamo.bak) | |
| lalamo evaluation (PPL / logits) needs the opposite form. This script links the | |
| original weights and writes a lalamo config without duplicating tensor bytes. | |
| Usage: | |
| python scripts/make_lalamo_eval_copy.py \ | |
| --source /tmp/qwen35_0.8b_rht_int4_lalamo \ | |
| --dest /tmp/qwen35_0.8b_rht_int4_lalamo_lalamo | |
| """ | |
| from __future__ import annotations | |
| import argparse | |
| import json | |
| import os | |
| import shutil | |
| from pathlib import Path | |
| RESPONSE_FORMAT = { | |
| "reasoning_pattern": r"(?: response|(?:(?: think|(?=.* response))(?P<chain_of_thought>.*?)(?: response\s*|\Z)))?(?P<response>.*)", | |
| "prefixes": [" think", " response"], | |
| "turn_pattern": None, | |
| "tool_calls": { | |
| "tags": ["<tool_call>", "</tool_call>"], | |
| "function_pattern": r"<function=([^>\n]+)>(.*?)</function>", | |
| "parameter_pattern": r"<parameter=([^>\n]+)>\n?(.*?)\n?</parameter>", | |
| }, | |
| } | |
| def link_or_copy(source: Path, destination: Path) -> None: | |
| if destination.exists(): | |
| destination.unlink() | |
| try: | |
| os.link(source, destination) | |
| except OSError: | |
| shutil.copy2(source, destination) | |
| def lalamo_config(source: Path) -> dict: | |
| saved = source / "config.lalamo.json" | |
| if saved.exists(): | |
| return json.loads(saved.read_text()) | |
| config = json.loads((source / "config.json").read_text()) | |
| token_codec = config.get("token_codec_config") | |
| if token_codec is not None: | |
| token_codec.pop("end_of_thinking_tag", None) | |
| token_codec.pop("output_parser_regex", None) | |
| token_codec["response_format"] = RESPONSE_FORMAT | |
| return config | |
| def fresh_backup(weights: Path, backup: Path) -> bool: | |
| """The backup holds pre-rewrite bytes, so mtimes cannot reveal staleness. | |
| rewrite_lalamo_hybrid_spec stamps the backup with the rewritten file's | |
| mtime; the backup is only valid while the weights carry that mtime. | |
| """ | |
| stamp = backup.with_name(backup.name + ".stamp") | |
| try: | |
| recorded = int(stamp.read_text(encoding="utf-8").strip()) | |
| return recorded == weights.stat().st_mtime_ns | |
| except (OSError, ValueError): | |
| return False | |
| def main() -> None: | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument("--source", type=Path, required=True) | |
| parser.add_argument("--dest", type=Path, required=True) | |
| args = parser.parse_args() | |
| args.dest.mkdir(parents=True, exist_ok=True) | |
| (args.dest / "config.json").write_text(json.dumps(lalamo_config(args.source), indent=2) + "\n") | |
| weights = args.source / "model.safetensors" | |
| original_weights = args.source / "model.safetensors.lalamo.bak" | |
| use_backup = original_weights.exists() and fresh_backup(weights, original_weights) | |
| if original_weights.exists() and not use_backup: | |
| print( | |
| f"warning: {original_weights.name} is older than {weights.name}; " | |
| "ignoring the stale lalamo backup", | |
| flush=True, | |
| ) | |
| link_or_copy(original_weights if use_backup else weights, args.dest / "model.safetensors") | |
| for name in ("tokenizer.json", "encoding.json"): | |
| source = args.source / name | |
| if source.exists(): | |
| link_or_copy(source, args.dest / name) | |
| print(f"created {args.dest}") | |
| for file in sorted(args.dest.iterdir()): | |
| print(f" {file.name}: {file.stat().st_size / 1e6:.1f} MB") | |
| if __name__ == "__main__": | |
| main() | |