Duplicate weight files across branches: step_100==step_1000, step_200==step_2000, step_300==main

Summary

Three pairs of branches contain identical model weight files (verified via LFS SHA-256):

Reproduction

from huggingface_hub import HfApi
from collections import defaultdict

api = HfApi()
shard1_hashes = {}

branches = [f'step_{i}' for i in range(100, 3001, 100)] + ['main']
for rev in branches:
    try:
        files = api.list_repo_tree('allenai/Olmo-3-7B-RL-Zero-Code', revision=rev)
        for f in files:
            name = getattr(f, 'rfilename', getattr(f, 'path', ''))
            if 'model-00001' in name and hasattr(f, 'lfs') and f.lfs:
                shard1_hashes[rev] = f.lfs.sha256[:16]
    except:
        pass

groups = defaultdict(list)
for rev, h in shard1_hashes.items():
    groups[h].append(rev)

for h, revs in groups.items():
    if len(revs) > 1:
        print(f'DUPLICATE: {revs} -> {h}')

Output:

DUPLICATE: ['step_100', 'step_1000'] -> e5f78246eb9773f0
DUPLICATE: ['step_200', 'step_2000'] -> 53d993f3c56a3ec1
DUPLICATE: ['step_300', 'main'] -> 7714e11a8d367ebc

The pattern suggests a labeling error during upload: each X00 step was duplicated as X000 (100→1000, 200→2000, 300→main). Researchers using these checkpoints to study how representations evolve during RL training will see false patterns.

1. Are the correct step_1000 and step_2000 weights available? Could they be re-uploaded to the correct branches?
2. Which training step does main correspond to, is it intended to be step_300, or should it be the final checkpoint (step_3000)?

Environment

• Verified with huggingface_hub version 0.36.2
• Also confirmed via local md5sum after snapshot_download with force_download=True

Thank you for releasing intermediate checkpoints, they are extremely valuable for research.