| import os, sys, glob |
| os.environ.setdefault("HF_HUB_ENABLE_HF_TRANSFER","1") |
| from huggingface_hub import HfApi, create_repo |
| P=os.path.expanduser("~/piscina") |
| tok=open(f"{P}/.hftoken").read().strip() |
| api=HfApi(token=tok) |
| MODEL="poolside-laguna-hackathon/Piscina-XS.2-GGUF" |
| EVAL="poolside-laguna-hackathon/Piscina-XS.2-eval" |
| mode=sys.argv[1] if len(sys.argv)>1 else "all" |
| create_repo(MODEL, repo_type="model", exist_ok=True, token=tok) |
| create_repo(EVAL, repo_type="dataset", exist_ok=True, token=tok) |
| def up(local, path, repo, rt="model"): |
| if not os.path.exists(local): print("skip(absent)",local); return |
| print("upload",local,"->",repo,path,flush=True) |
| api.upload_file(path_or_fileobj=local, path_in_repo=path, repo_id=repo, repo_type=rt) |
| if mode in ("meta","all"): |
| up(f"{P}/pkg/README.md","README.md",MODEL) |
| up(f"{P}/src/author.imatrix","author.imatrix",MODEL) |
| up(f"{P}/results/pareto.png","pareto.png",MODEL) |
| for s in ["quant.sh","eval.sh","imat.sh","pkg/gen_readme.py","pkg/push.py"]: |
| up(f"{P}/{s}", os.path.basename(s), EVAL, "dataset") |
| up(f"{P}/results/all.json","all.json",EVAL,"dataset") |
| for f in glob.glob(f"{P}/results/*.txt")+glob.glob(f"{P}/results/*.bench.json"): |
| up(f, "results/"+os.path.basename(f), EVAL, "dataset") |
| if mode in ("gguf","all"): |
| for g in sorted(glob.glob(f"{P}/out/*.gguf")): |
| up(g, os.path.basename(g), MODEL) |
| if mode.endswith(".gguf"): |
| up(f"{P}/out/{mode}", mode, MODEL) |
| print("PUSH_DONE", mode) |
|
|
