ucast_params.py

"""Non-blocked U-Cast claim: count parameters from the RELEASED checkpoint
(salv47/u-cast/ucast.ckpt) — weights confirmed present on HF, no ERA5 needed."""
import modal

image = (modal.Image.debian_slim(python_version="3.11")
         .pip_install("torch", "huggingface_hub", "safetensors"))
app = modal.App("ucast-params", image=image)


@app.function(timeout=1200)
def count():
    import torch, collections
    from huggingface_hub import hf_hub_download
    p = hf_hub_download("salv47/u-cast", "ucast.ckpt")
    ckpt = torch.load(p, map_location="cpu", weights_only=False)
    sd = ckpt.get("state_dict", ckpt)
    # model weights only (exclude optimizer/EMA duplicates if any obvious prefix)
    total = sum(v.numel() for v in sd.values() if hasattr(v, "numel"))
    # try to separate EMA / model if both present
    groups = collections.Counter()
    for k in sd:
        groups[k.split(".")[0]] += sd[k].numel() if hasattr(sd[k], "numel") else 0
    return {"total_state_dict_params": int(total),
            "millions": round(total / 1e6, 1),
            "top_level_groups": dict(groups.most_common(8)),
            "num_tensors": len(sd)}


@app.local_entrypoint()
def main():
    import json
    r = count.remote()
    print(json.dumps(r, indent=2))
    with open("ucast_params.json", "w") as f:
        json.dump(r, f, indent=2)