初始化项目，由ModelHub XC社区提供模型

Model: OdaxAI/DANTE-Mosaic-3.5B
Source: Original Platform

push_to_hub.py

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+"""
+Push DANTE-Mosaic-3.5B to the Hugging Face Hub.
+
+Prerequisites:
+    pip install -U huggingface_hub transformers
+    huggingface-cli login          # interactive token entry, OR
+    export HF_TOKEN=hf_xxxxxxxxxx  # non-interactive
+
+Usage:
+    python push_to_hub.py \\
+        --model-dir ../hf_model/ \\
+        --repo  YourOrg/DANTE-Mosaic-3.5B \\
+        --private                # optional, default public
+
+Note: requires ~6 GB upload bandwidth. The huggingface_hub uploader resumes on
+network errors, so re-running is safe.
+"""
+
+from __future__ import annotations
+
+import argparse
+import os
+import shutil
+from pathlib import Path
+
+from huggingface_hub import HfApi, create_repo, upload_folder
+
+
+def parse_args():
+    p = argparse.ArgumentParser()
+    p.add_argument("--model-dir", required=True,
+                   help="Path containing model.safetensors, config.json, tokenizer files")
+    p.add_argument("--repo", required=True,
+                   help="HuggingFace repo id, e.g. 'YourOrg/DANTE-Mosaic-3.5B'")
+    p.add_argument("--private", action="store_true",
+                   help="Create as private repo (default: public)")
+    p.add_argument("--readme", default="README.md",
+                   help="Path to model card (will be uploaded as README.md)")
+    p.add_argument("--token", default=None,
+                   help="HF token (overrides $HF_TOKEN). Optional.")
+    p.add_argument("--commit-message", default="Initial release of DANTE-Mosaic-3.5B")
+    p.add_argument("--allow-patterns", nargs="*", default=None,
+                   help="Limit upload to these glob patterns (e.g. '*.safetensors').")
+    return p.parse_args()
+
+
+def main():
+    args = parse_args()
+
+    token = args.token or os.environ.get("HF_TOKEN")
+    if not token:
+        print("WARNING: no --token and no $HF_TOKEN; relying on cached HF login.")
+
+    model_dir = Path(args.model_dir).expanduser().resolve()
+    if not model_dir.exists():
+        raise FileNotFoundError(f"Model dir not found: {model_dir}")
+    weight_files = list(model_dir.glob("*.safetensors")) + list(model_dir.glob("*.bin"))
+    if not weight_files:
+        raise FileNotFoundError(f"No weight files in {model_dir}")
+    print(f"\nModel directory : {model_dir}")
+    print(f"Weight files    : {len(weight_files)} "
+          f"(total {sum(f.stat().st_size for f in weight_files)/1e9:.1f} GB)")
+
+    readme_path = Path(args.readme)
+    if readme_path.exists():
+        target = model_dir / "README.md"
+        if target.exists() and target.resolve() != readme_path.resolve():
+            print(f"Replacing existing model card: {target}")
+        if target.resolve() != readme_path.resolve():
+            shutil.copy(readme_path, target)
+        print(f"Model card      : {readme_path}  ->  {target}")
+    else:
+        print(f"WARNING: README {readme_path} not found; the upload will not include a model card.")
+
+    print(f"Target repo     : {args.repo}  (private={args.private})")
+    print()
+
+    print("Creating repo on the Hub (if it does not exist)...")
+    create_repo(repo_id=args.repo, private=args.private, exist_ok=True, token=token)
+
+    print(f"Uploading folder...")
+    upload_folder(
+        folder_path=str(model_dir),
+        repo_id=args.repo,
+        commit_message=args.commit_message,
+        token=token,
+        allow_patterns=args.allow_patterns,
+    )
+
+    print("\nDONE!")
+    print(f"Model is live at: https://huggingface.co/{args.repo}")
+
+
+if __name__ == "__main__":
+    main()