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| """发布到 ModelScope：LoRA(PEFT) → 模型仓库；代码 → 创空间。 | |
| 前置：uv run modelscope login --token <你的token> | |
| 用法：uv run python scripts/publish_modelscope.py [--owner zh4trix] [--model logistics-qwen-lora] [--studio logistics-llm] | |
| """ | |
| import argparse | |
| from modelscope.hub.api import HubApi | |
| ap = argparse.ArgumentParser() | |
| ap.add_argument("--owner", default="zh4trix") | |
| ap.add_argument("--model", default="logistics-qwen3-lora") | |
| ap.add_argument("--studio", default="logistics-llm") | |
| ap.add_argument("--skip-model", action="store_true") | |
| ap.add_argument("--skip-studio", action="store_true") | |
| a = ap.parse_args() | |
| api = HubApi() | |
| if not a.skip_model: | |
| repo = f"{a.owner}/{a.model}" | |
| api.create_repo(repo, repo_type="model", visibility="public", license="apache-2.0", | |
| chinese_name="物流通 LoRA v2（Qwen3-14B）", exist_ok=True) | |
| api.upload_folder(repo_id=repo, repo_type="model", folder_path="adapters/logistics-q3-14b-peft", | |
| commit_message="LoRA adapter (PEFT)") | |
| print("模型仓库:", f"https://www.modelscope.cn/models/{repo}") | |
| if not a.skip_studio: | |
| repo = f"{a.owner}/{a.studio}" | |
| api.create_repo(repo, repo_type="studio", visibility="public", license="apache-2.0", sdk_type="gradio", | |
| chinese_name="物流通 · 物流行业大模型", description="Qwen2.5-7B + 物流 LoRA + 知识库检索 + 业务工具调用", | |
| exist_ok=True) | |
| api.upload_folder(repo_id=repo, repo_type="studio", folder_path=".", | |
| allow_patterns=["app.py", "requirements.txt", "README.md", "Makefile", "pyproject.toml", ".env.example", | |
| "logicllm/**", "data/kb/**", "data/seed/**", "eval/**", "scripts/**"], | |
| ignore_patterns=["**/__pycache__/**", "*.pyc", ".venv/**", "adapters/**", "models/**", | |
| "data/sft/**", "*.npz", "*.sqlite", ".git/**", "docs/**"], | |
| commit_message="update space") | |
| print("创空间:", f"https://www.modelscope.cn/studios/{repo}") | |