| import sys, os, traceback |
| from huggingface_hub import snapshot_download, HfApi |
| api = HfApi() |
|
|
| PYTHIA_STEPS = [1,128,512,1000,2000,4000,8000,16000,32000,64000,96000,128000,143000] |
| ZH_STEPS = [1000,5000,10000,20000,40000,60000,80000,90000] |
|
|
| JOBS = [("EleutherAI/pythia-1.4b", f"step{s}") for s in PYTHIA_STEPS] + \ |
| [("SJTU-CL/Zh-Pythia-1.4B", f"checkpoint-{s}") for s in ZH_STEPS] |
|
|
| shard = int(sys.argv[1]); nshard = int(sys.argv[2]) |
| for k,(rid,rev) in enumerate(JOBS): |
| if k % nshard != shard: continue |
| try: |
| files = set(api.list_repo_files(rid, revision=rev)) |
| if "pytorch_model.bin" in files: |
| pats = ["*.json","pytorch_model.bin"] |
| else: |
| pats = ["*.json","*.safetensors"] |
| p = snapshot_download(rid, revision=rev, allow_patterns=pats, max_workers=3) |
| print("OK", rid, rev, flush=True) |
| except Exception as e: |
| print("FAIL", rid, rev, repr(e)[:200], flush=True) |
| print("SHARDDONE", shard, flush=True) |
|
|
