laguna-martini / scripts /build_calibration.py
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Publish Laguna Martini grouped-pruning model card and reproducibility artifacts
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#!/usr/bin/env python3
"""Build deterministic long-context calibration token caches."""
from __future__ import annotations
import argparse
import sys
from pathlib import Path
sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
from heapr.calibration import build_calibration_cache
from heapr.constants import DEFAULT_NUM_CHUNKS, DEFAULT_PRUNE_MODEL, DEFAULT_SEQ_LEN
from heapr.model_utils import load_tokenizer
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument("--tokenizer-id", default=DEFAULT_PRUNE_MODEL)
parser.add_argument("--revision")
parser.add_argument("--output-root", default="artifacts/data/calibration")
parser.add_argument("--seq-len", type=int, default=DEFAULT_SEQ_LEN)
parser.add_argument("--num-chunks", type=int, default=DEFAULT_NUM_CHUNKS)
parser.add_argument("--seed", type=int, default=0)
parser.add_argument("--text-fraction", type=float, default=0.5)
return parser.parse_args()
def main() -> None:
args = parse_args()
tokenizer = load_tokenizer(args.tokenizer_id, revision=args.revision)
manifest = build_calibration_cache(
tokenizer,
output_root=args.output_root,
seq_len=args.seq_len,
num_chunks=args.num_chunks,
seed=args.seed,
text_fraction=args.text_fraction,
)
print(manifest.output_path)
if __name__ == "__main__":
main()