初始化项目，由ModelHub XC社区提供模型

Model: rpant/iolai26-solve
Source: Original Platform

scripts/prepare_weights.py

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+"""Download the chosen model directly into the repo root, per the submission
+convention (MODEL_ID = "." — weights ship inside the HF repo and load from
+the working directory).
+
+Downloads with local_dir (no separate HF cache copy — the weights exist once
+on disk, plus git-lfs objects after committing). Weight files are picked up
+by git-lfs via .gitattributes (*.safetensors etc.).
+
+Usage:
+  python scripts/prepare_weights.py [model_id] [dest]
+
+Default model: Qwen/Qwen2.5-7B-Instruct-AWQ (~5.6 GB, Apache-2.0 —
+redistribution-safe per the competition's licensing rule; fits the T4 with
+headroom for batched generation). Swap to Qwen/Qwen2.5-14B-Instruct-AWQ
+(~10 GB) on a machine with ~25 GB free disk.
+"""
+
+import sys
+from pathlib import Path
+
+from huggingface_hub import snapshot_download
+
+DEFAULT_MODEL = "Qwen/Qwen2.5-14B-Instruct-AWQ"
+
+
+def main() -> None:
+    model_id = sys.argv[1] if len(sys.argv) > 1 else DEFAULT_MODEL
+    dest = Path(sys.argv[2] if len(sys.argv) > 2 else ".").resolve()
+    print(f"downloading {model_id} -> {dest}/ (direct, no cache copy)")
+    snapshot_download(repo_id=model_id, local_dir=str(dest))
+    print(f"done. Commit with git (LFS tracks the weight files), or verify "
+          f"with: python -c \"from transformers import AutoConfig; "
+          f"AutoConfig.from_pretrained('.')\"")
+
+
+if __name__ == "__main__":
+    main()