什么时候能支持uv（https://docs.astral.sh/uv/）安装方式

[nice-kai]

Reminder
I have read the README and searched the existing issues.
System Info
llamafactory:0.9.5
uv:0.5.5

Reproduction
执行uv run pip install -e '.[torch,metrics]'无法正确安装。

Expected behavior
可以利用uv run命令正常安装。

Others
问题原因是pyproject.toml冲突的问题。uv在pyproject.toml上有一些必填参数的验证。llamafactory里面缺失相关必填内容。
同时uv项目在初始化的时候，会生成pyproject.toml文件，这个与llamafactory项目内的pyproject.toml会产生冲突有覆盖的风险。

因为uv在构建python环境和开发上更易用，对包的管理更好，多方面优于pip、conda。所以采用uv。其官网如下：https://docs.astral.sh/uv/

[nice-kai]

我通过修改成功安装了。

我修改了pyproject.toml，用它替代了setup.py和requirements.txt里面的内容。

pyproject.toml 修改后的完整内容如下：

[build-system]
requires = ["setuptools>=61.0"]
build-backend = "setuptools.build_meta"

[tool.ruff]
target-version = "py38"
line-length = 119
indent-width = 4

[tool.ruff.lint]
ignore = ["C408", "C901", "E501", "E731", "E741", "W605"]
select = ["C", "E", "F", "I", "W"]

[tool.ruff.lint.isort]
lines-after-imports = 2
known-first-party = ["llamafactory"]
known-third-party = [
    "accelerate",
    "datasets",
    "gradio",
    "numpy",
    "peft",
    "torch",
    "transformers",
    "trl"
]

[tool.ruff.format]
quote-style = "double"
indent-style = "space"
docstring-code-format = true
skip-magic-trailing-comma = false
line-ending = "auto"

[project]
name = "llama-factory-0.9.1"
version = "0.1.0"
description = "Easy-to-use LLM fine-tuning framework"
readme = "README.md"
requires-python = ">=3.9"
license = { text = "Apache-2.0" }  # 添加 text 字段，符合规范

authors = [
    { name = "hiyouga", email = "hiyouga@buaa.edu.cn" }
]

keywords = [
    "LLaMA", "BLOOM", "Falcon", "LLM", "ChatGPT", "transformer", "pytorch", "deep learning"
]

classifiers = [
    "Development Status :: 4 - Beta",
    "Intended Audience :: Developers",
    "Intended Audience :: Education",
    "Intended Audience :: Science/Research",
    "License :: OSI Approved :: Apache Software License",
    "Operating System :: OS Independent",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.8",
    "Programming Language :: Python :: 3.9",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Topic :: Scientific/Engineering :: Artificial Intelligence"
]

dependencies = [
    "transformers>=4.41.2,<=4.46.1",
    "datasets>=2.16.0,<=3.1.0",
    "accelerate>=0.34.0,<=1.0.1",
    "peft>=0.11.1,<=0.12.0",
    "trl>=0.8.6,<=0.9.6",
    "gradio>=4.0.0,<5.0.0",
    "pandas>=2.0.0",
    "scipy",
    "einops",
    "sentencepiece",
    "tiktoken",
    "protobuf",
    "uvicorn",
    "pydantic",
    "fastapi",
    "sse-starlette",
    "matplotlib>=3.7.0",
    "fire",
    "packaging",
    "pyyaml",
    "numpy<2.0.0",
    "av",
    "tyro<0.9.0"
]

[project.optional-dependencies]
dev = ["pre-commit", "ruff", "pytest"]
torch = ["torch>=1.13.1"]
metrics = ["nltk", "jieba", "rouge-chinese"]
deepspeed = ["deepspeed>=0.10.0,<=0.14.4"]
liger-kernel = ["liger-kernel"]
bitsandbytes = ["bitsandbytes>=0.39.0"]
hqq = ["hqq"]
eetq = ["eetq"]
gptq = ["optimum>=1.17.0", "auto-gptq>=0.5.0"]
awq = ["autoawq"]
aqlm = ["aqlm[gpu]>=1.1.0"]
vllm = ["vllm>=0.4.3,<0.6.4"]
galore = ["galore-torch"]
badam = ["badam>=1.2.1"]
adam-mini = ["adam-mini"]
qwen = ["transformers_stream_generator"]
modelscope = ["modelscope"]
openmind = ["openmind"]

[project.scripts]
llamafactory-cli = "llamafactory.cli:main"

在uv环境下，直接运行uv tree命令就可以看到安装的package了。

结果如下：

llama-factory-0-9-1 v0.1.0
├── accelerate v1.0.1
│   ├── huggingface-hub v0.26.3
│   │   ├── filelock v3.16.1
│   │   ├── fsspec v2024.9.0
│   │   │   └── aiohttp v3.11.9 (extra: http)
│   │   │       ├── aiohappyeyeballs v2.4.4
│   │   │       ├── aiosignal v1.3.1
│   │   │       │   └── frozenlist v1.5.0
│   │   │       ├── async-timeout v5.0.1
│   │   │       ├── attrs v24.2.0
│   │   │       ├── frozenlist v1.5.0
│   │   │       ├── multidict v6.1.0
│   │   │       │   └── typing-extensions v4.12.2
│   │   │       ├── propcache v0.2.1
│   │   │       └── yarl v1.18.3
│   │   │           ├── idna v3.10
│   │   │           ├── multidict v6.1.0 (*)
│   │   │           └── propcache v0.2.1
│   │   ├── packaging v24.2
│   │   ├── pyyaml v6.0.2
│   │   ├── requests v2.32.2
│   │   │   ├── certifi v2024.8.30
│   │   │   ├── charset-normalizer v3.4.0
│   │   │   ├── idna v3.10
│   │   │   └── urllib3 v2.2.3
│   │   ├── tqdm v4.67.1
│   │   └── typing-extensions v4.12.2
│   ├── numpy v1.24.4
│   ├── packaging v24.2
│   ├── psutil v6.1.0
│   ├── pyyaml v6.0.2
│   ├── safetensors v0.4.5
│   └── torch v2.4.0
│       ├── filelock v3.16.1
│       ├── fsspec v2024.9.0 (*)
│       ├── jinja2 v3.1.4
│       │   └── markupsafe v2.1.5
│       ├── networkx v3.4.2
│       ├── nvidia-cublas-cu12 v12.1.3.1
│       ├── nvidia-cuda-cupti-cu12 v12.1.105
│       ├── nvidia-cuda-nvrtc-cu12 v12.1.105
│       ├── nvidia-cuda-runtime-cu12 v12.1.105
│       ├── nvidia-cudnn-cu12 v9.1.0.70
│       │   └── nvidia-cublas-cu12 v12.1.3.1
│       ├── nvidia-cufft-cu12 v11.0.2.54
│       ├── nvidia-curand-cu12 v10.3.2.106
│       ├── nvidia-cusolver-cu12 v11.4.5.107
│       │   ├── nvidia-cublas-cu12 v12.1.3.1
│       │   ├── nvidia-cusparse-cu12 v12.1.0.106
│       │   │   └── nvidia-nvjitlink-cu12 v12.6.85
│       │   └── nvidia-nvjitlink-cu12 v12.6.85
│       ├── nvidia-cusparse-cu12 v12.1.0.106 (*)
│       ├── nvidia-nccl-cu12 v2.20.5
│       ├── nvidia-nvtx-cu12 v12.1.105
│       ├── sympy v1.13.3
│       │   └── mpmath v1.3.0
│       ├── triton v3.0.0
│       │   └── filelock v3.16.1
│       └── typing-extensions v4.12.2
├── av v12.3.0
├── datasets v3.1.0
│   ├── aiohttp v3.11.9 (*)
│   ├── dill v0.3.8
│   ├── filelock v3.16.1
│   ├── fsspec[http] v2024.9.0 (*)
│   ├── huggingface-hub v0.26.3 (*)
│   ├── multiprocess v0.70.16
│   │   └── dill v0.3.8
│   ├── numpy v1.24.4
│   ├── packaging v24.2
│   ├── pandas v2.0.3
│   │   ├── numpy v1.24.4
│   │   ├── python-dateutil v2.9.0.post0
│   │   │   └── six v1.16.0
│   │   ├── pytz v2024.2
│   │   └── tzdata v2024.2
│   ├── pyarrow v18.1.0
│   ├── pyyaml v6.0.2
│   ├── requests v2.32.2 (*)
│   ├── tqdm v4.67.1
│   └── xxhash v3.5.0
├── einops v0.8.0
├── fastapi v0.115.5
│   ├── pydantic v2.10.0
│   │   ├── annotated-types v0.7.0
│   │   ├── pydantic-core v2.27.0
│   │   │   └── typing-extensions v4.12.2
│   │   └── typing-extensions v4.12.2
│   ├── starlette v0.41.3
│   │   └── anyio v4.6.2.post1
│   │       ├── exceptiongroup v1.2.2
│   │       ├── idna v3.10
│   │       ├── sniffio v1.3.1
│   │       └── typing-extensions v4.12.2
│   └── typing-extensions v4.12.2
├── fire v0.7.0
│   └── termcolor v2.5.0
├── gradio v4.44.1
│   ├── aiofiles v23.2.1
│   ├── anyio v4.6.2.post1 (*)
│   ├── fastapi v0.115.5 (*)
│   ├── ffmpy v0.4.0
│   ├── gradio-client v1.3.0
│   │   ├── fsspec v2024.9.0 (*)
│   │   ├── httpx v0.27.2
│   │   │   ├── anyio v4.6.2.post1 (*)
│   │   │   ├── certifi v2024.8.30
│   │   │   ├── httpcore v1.0.7
│   │   │   │   ├── certifi v2024.8.30
│   │   │   │   └── h11 v0.14.0
│   │   │   ├── idna v3.10
│   │   │   └── sniffio v1.3.1
│   │   ├── huggingface-hub v0.26.3 (*)
│   │   ├── packaging v24.2
│   │   ├── typing-extensions v4.12.2
│   │   └── websockets v12.0
│   ├── httpx v0.27.2 (*)
│   ├── huggingface-hub v0.26.3 (*)
│   ├── importlib-resources v6.4.5
│   ├── jinja2 v3.1.4 (*)
│   ├── markupsafe v2.1.5
│   ├── matplotlib v3.7.5
│   │   ├── contourpy v1.3.1
│   │   │   └── numpy v1.24.4
│   │   ├── cycler v0.12.1
│   │   ├── fonttools v4.55.0
│   │   ├── kiwisolver v1.4.7
│   │   ├── numpy v1.24.4
│   │   ├── packaging v24.2
│   │   ├── pillow v10.4.0
│   │   ├── pyparsing v3.2.0
│   │   └── python-dateutil v2.9.0.post0 (*)
│   ├── numpy v1.24.4
│   ├── orjson v3.10.11
│   ├── packaging v24.2
│   ├── pandas v2.0.3 (*)
│   ├── pillow v10.4.0
│   ├── pydantic v2.10.0 (*)
│   ├── pydub v0.25.1
│   ├── python-multipart v0.0.17
│   ├── pyyaml v6.0.2
│   ├── ruff v0.8.1
│   ├── semantic-version v2.10.0
│   ├── tomlkit v0.12.0
│   ├── typer v0.13.1
│   │   ├── click v8.1.7
│   │   ├── rich v13.9.4
│   │   │   ├── markdown-it-py v3.0.0
│   │   │   │   └── mdurl v0.1.2
│   │   │   ├── pygments v2.18.0
│   │   │   └── typing-extensions v4.12.2
│   │   ├── shellingham v1.5.4
│   │   └── typing-extensions v4.12.2
│   ├── typing-extensions v4.12.2
│   ├── urllib3 v2.2.3
│   └── uvicorn v0.32.1
│       ├── click v8.1.7
│       ├── h11 v0.14.0
│       ├── typing-extensions v4.12.2
│       ├── httptools v0.6.4 (extra: standard)
│       ├── python-dotenv v1.0.1 (extra: standard)
│       ├── pyyaml v6.0.2 (extra: standard)
│       ├── uvloop v0.21.0 (extra: standard)
│       ├── watchfiles v1.0.0 (extra: standard)
│       │   └── anyio v4.6.2.post1 (*)
│       └── websockets v12.0 (extra: standard)
├── matplotlib v3.7.5 (*)
├── numpy v1.24.4
├── packaging v24.2
├── pandas v2.0.3 (*)
├── peft v0.12.0
│   ├── accelerate v1.0.1 (*)
│   ├── huggingface-hub v0.26.3 (*)
│   ├── numpy v1.24.4
│   ├── packaging v24.2
│   ├── psutil v6.1.0
│   ├── pyyaml v6.0.2
│   ├── safetensors v0.4.5
│   ├── torch v2.4.0 (*)
│   ├── tqdm v4.67.1
│   └── transformers v4.46.1
│       ├── filelock v3.16.1
│       ├── huggingface-hub v0.26.3 (*)
│       ├── numpy v1.24.4
│       ├── packaging v24.2
│       ├── pyyaml v6.0.2
│       ├── regex v2024.11.6
│       ├── requests v2.32.2 (*)
│       ├── safetensors v0.4.5
│       ├── tokenizers v0.20.3
│       │   └── huggingface-hub v0.26.3 (*)
│       └── tqdm v4.67.1
├── protobuf v5.29.0
├── pydantic v2.10.0 (*)
├── pyyaml v6.0.2
├── scipy v1.14.1
│   └── numpy v1.24.4
├── sentencepiece v0.2.0
├── sse-starlette v2.1.3
│   ├── anyio v4.6.2.post1 (*)
│   ├── starlette v0.41.3 (*)
│   └── uvicorn v0.32.1 (*)
├── tiktoken v0.8.0
│   ├── regex v2024.11.6
│   └── requests v2.32.2 (*)
├── transformers v4.46.1 (*)
├── trl v0.9.6
│   ├── accelerate v1.0.1 (*)
│   ├── datasets v3.1.0 (*)
│   ├── numpy v1.24.4
│   ├── torch v2.4.0 (*)
│   ├── transformers v4.46.1 (*)
│   └── tyro v0.8.14
│       ├── docstring-parser v0.16
│       ├── rich v13.9.4 (*)
│       ├── shtab v1.7.1
│       └── typing-extensions v4.12.2
├── tyro v0.8.14 (*)
├── uvicorn v0.32.1 (*)
├── adam-mini v1.1.1 (extra: adam-mini)
├── aqlm[gpu] v1.1.6 (extra: aqlm)
│   ├── accelerate v1.0.1 (*)
│   ├── torch v2.4.0 (*)
│   ├── transformers v4.46.1 (*)
│   ├── ninja v1.11.1.2 (extra: gpu)
│   └── triton v3.0.0 (extra: gpu) (*)
├── autoawq v0.2.7.post2 (extra: awq)
│   ├── accelerate v1.0.1 (*)
│   ├── datasets v3.1.0 (*)
│   ├── tokenizers v0.20.3 (*)
│   ├── torch v2.4.0 (*)
│   ├── transformers v4.46.1 (*)
│   ├── triton v3.0.0 (*)
│   ├── typing-extensions v4.12.2
│   └── zstandard v0.23.0
├── badam v1.2.2 (extra: badam)
├── bitsandbytes v0.44.1 (extra: bitsandbytes)
│   ├── numpy v1.24.4
│   └── torch v2.4.0 (*)
├── deepspeed v0.14.4 (extra: deepspeed)
│   ├── hjson v3.1.0
│   ├── ninja v1.11.1.2
│   ├── numpy v1.24.4
│   ├── nvidia-ml-py v12.560.30
│   ├── packaging v24.2
│   ├── psutil v6.1.0
│   ├── py-cpuinfo v9.0.0
│   ├── pydantic v2.10.0 (*)
│   ├── torch v2.4.0 (*)
│   └── tqdm v4.67.1
├── pre-commit v4.0.1 (extra: dev)
│   ├── cfgv v3.4.0
│   ├── identify v2.6.3
│   ├── nodeenv v1.9.1
│   ├── pyyaml v6.0.2
│   └── virtualenv v20.28.0
│       ├── distlib v0.3.9
│       ├── filelock v3.16.1
│       └── platformdirs v4.3.6
├── pytest v8.3.4 (extra: dev)
│   ├── exceptiongroup v1.2.2
│   ├── iniconfig v2.0.0
│   ├── packaging v24.2
│   ├── pluggy v1.5.0
│   └── tomli v2.2.1
├── ruff v0.8.1 (extra: dev)
├── eetq v1.0.0 (extra: eetq)
│   ├── einops v0.8.0
│   ├── ninja v1.11.1.2
│   ├── packaging v24.2
│   └── torch v2.4.0 (*)
├── galore-torch v1.0 (extra: galore)
│   ├── bitsandbytes v0.44.1 (*)
│   ├── torch v2.4.0 (*)
│   └── transformers v4.46.1 (*)
├── auto-gptq v0.7.1 (extra: gptq)
│   ├── accelerate v1.0.1 (*)
│   ├── datasets v3.1.0 (*)
│   ├── gekko v1.2.1
│   │   └── numpy v1.24.4
│   ├── numpy v1.24.4
│   ├── peft v0.12.0 (*)
│   ├── rouge v1.0.1
│   │   └── six v1.16.0
│   ├── safetensors v0.4.5
│   ├── sentencepiece v0.2.0
│   ├── torch v2.4.0 (*)
│   ├── tqdm v4.67.1
│   └── transformers v4.46.1 (*)
├── optimum v1.23.3 (extra: gptq)
│   ├── coloredlogs v15.0.1
│   │   └── humanfriendly v10.0
│   ├── datasets v3.1.0 (*)
│   ├── huggingface-hub v0.26.3 (*)
│   ├── numpy v1.24.4
│   ├── packaging v24.2
│   ├── sympy v1.13.3 (*)
│   ├── torch v2.4.0 (*)
│   └── transformers v4.46.1 (*)
├── hqq v0.2.2 (extra: hqq)
│   ├── accelerate v1.0.1 (*)
│   ├── einops v0.8.0
│   ├── huggingface-hub v0.26.3 (*)
│   ├── numpy v1.24.4
│   ├── termcolor v2.5.0
│   ├── tqdm v4.67.1
│   └── transformers v4.46.1 (*)
├── liger-kernel v0.4.2 (extra: liger-kernel)
│   ├── torch v2.4.0 (*)
│   └── triton v3.0.0 (*)
├── jieba v0.42.1 (extra: metrics)
├── nltk v3.9.1 (extra: metrics)
│   ├── click v8.1.7
│   ├── joblib v1.4.2
│   ├── regex v2024.11.6
│   └── tqdm v4.67.1
├── rouge-chinese v1.0.3 (extra: metrics)
│   └── six v1.16.0
├── modelscope v1.20.1 (extra: modelscope)
│   ├── requests v2.32.2 (*)
│   ├── tqdm v4.67.1
│   └── urllib3 v2.2.3
├── openmind v0.8.0 (extra: openmind)
│   ├── decorator v5.1.1
│   ├── openmind-hub v0.8.0
│   │   ├── filelock v3.16.1
│   │   ├── fsspec v2024.9.0 (*)
│   │   ├── jinja2 v3.1.4 (*)
│   │   ├── pyyaml v6.0.2
│   │   ├── requests v2.32.2 (*)
│   │   ├── tqdm v4.67.1
│   │   └── urllib3 v2.2.3
│   ├── sentencepiece v0.2.0
│   ├── setuptools v69.5.1
│   ├── tabulate v0.9.0
│   ├── tiktoken v0.8.0 (*)
│   ├── tokenizers v0.20.3 (*)
│   └── tqdm v4.67.1
├── transformers-stream-generator v0.0.5 (extra: qwen)
│   └── transformers v4.46.1 (*)
├── torch v2.4.0 (extra: torch) (*)
└── vllm v0.5.5 (extra: vllm)
    ├── aiohttp v3.11.9 (*)
    ├── fastapi v0.115.5 (*)
    ├── filelock v3.16.1
    ├── gguf v0.9.1
    │   ├── numpy v1.24.4
    │   └── tqdm v4.67.1
    ├── importlib-metadata v8.5.0
    │   └── zipp v3.20.2
    ├── librosa v0.10.2.post1
    │   ├── audioread v3.0.1
    │   ├── decorator v5.1.1
    │   ├── joblib v1.4.2
    │   ├── lazy-loader v0.4
    │   │   └── packaging v24.2
    │   ├── msgpack v1.1.0
    │   ├── numba v0.60.0
    │   │   ├── llvmlite v0.43.0
    │   │   └── numpy v1.24.4
    │   ├── numpy v1.24.4
    │   ├── pooch v1.8.2
    │   │   ├── packaging v24.2
    │   │   ├── platformdirs v4.3.6
    │   │   └── requests v2.32.2 (*)
    │   ├── scikit-learn v1.5.2
    │   │   ├── joblib v1.4.2
    │   │   ├── numpy v1.24.4
    │   │   ├── scipy v1.14.1 (*)
    │   │   └── threadpoolctl v3.5.0
    │   ├── scipy v1.14.1 (*)
    │   ├── soundfile v0.12.1
    │   │   └── cffi v1.17.1
    │   │       └── pycparser v2.22
    │   ├── soxr v0.5.0.post1
    │   │   └── numpy v1.24.4
    │   └── typing-extensions v4.12.2
    ├── lm-format-enforcer v0.10.6
    │   ├── interegular v0.3.3
    │   ├── packaging v24.2
    │   ├── pydantic v2.10.0 (*)
    │   └── pyyaml v6.0.2
    ├── msgspec v0.18.6
    ├── numpy v1.24.4
    ├── nvidia-ml-py v12.560.30
    ├── openai v1.55.3
    │   ├── anyio v4.6.2.post1 (*)
    │   ├── distro v1.9.0
    │   ├── httpx v0.27.2 (*)
    │   ├── jiter v0.8.0
    │   ├── pydantic v2.10.0 (*)
    │   ├── sniffio v1.3.1
    │   ├── tqdm v4.67.1
    │   └── typing-extensions v4.12.2
    ├── outlines v0.0.46
    │   ├── cloudpickle v3.1.0
    │   ├── datasets v3.1.0 (*)
    │   ├── diskcache v5.6.3
    │   ├── interegular v0.3.3
    │   ├── jinja2 v3.1.4 (*)
    │   ├── jsonschema v4.23.0
    │   │   ├── attrs v24.2.0
    │   │   ├── jsonschema-specifications v2024.10.1
    │   │   │   └── referencing v0.35.1
    │   │   │       ├── attrs v24.2.0
    │   │   │       └── rpds-py v0.21.0
    │   │   ├── referencing v0.35.1 (*)
    │   │   └── rpds-py v0.21.0
    │   ├── lark v1.2.2
    │   ├── nest-asyncio v1.6.0
    │   ├── numba v0.60.0 (*)
    │   ├── numpy v1.24.4
    │   ├── pyairports v2.1.1
    │   ├── pycountry v24.6.1
    │   ├── pydantic v2.10.0 (*)
    │   ├── referencing v0.35.1 (*)
    │   ├── requests v2.32.2 (*)
    │   ├── tqdm v4.67.1
    │   └── typing-extensions v4.12.2
    ├── pillow v10.4.0
    ├── prometheus-client v0.21.0
    ├── prometheus-fastapi-instrumentator v7.0.0
    │   ├── prometheus-client v0.21.0
    │   └── starlette v0.41.3 (*)
    ├── protobuf v5.29.0
    ├── psutil v6.1.0
    ├── py-cpuinfo v9.0.0
    ├── pydantic v2.10.0 (*)
    ├── pyzmq v26.2.0
    ├── ray v2.39.0
    │   ├── aiosignal v1.3.1 (*)
    │   ├── click v8.1.7
    │   ├── filelock v3.16.1
    │   ├── frozenlist v1.5.0
    │   ├── jsonschema v4.23.0 (*)
    │   ├── msgpack v1.1.0
    │   ├── packaging v24.2
    │   ├── protobuf v5.29.0
    │   ├── pyyaml v6.0.2
    │   └── requests v2.32.2 (*)
    ├── requests v2.32.2 (*)
    ├── sentencepiece v0.2.0
    ├── soundfile v0.12.1 (*)
    ├── tiktoken v0.8.0 (*)
    ├── tokenizers v0.20.3 (*)
    ├── torch v2.4.0 (*)
    ├── torchvision v0.19.0
    │   ├── numpy v1.24.4
    │   ├── pillow v10.4.0
    │   └── torch v2.4.0 (*)
    ├── tqdm v4.67.1
    ├── transformers v4.46.1 (*)
    ├── typing-extensions v4.12.2
    ├── uvicorn[standard] v0.32.1 (*)
    ├── vllm-flash-attn v2.6.1
    │   └── torch v2.4.0 (*)
    └── xformers v0.0.27.post2
        ├── numpy v1.24.4
        └── torch v2.4.0 (*)

在执行uv run llamafactory-cli train -h测试命令，可以成功运行。

成功后如下（log部分截取）：

   Built llama-factory-0-9-1 @ file:///root/LLaMA-Factory-0.9.1
Installed 1 package in 2ms
[INFO|2024-12-02 12:36:18] llamafactory.cli:157 >> Initializing distributed tasks at: 127.0.0.1:22726
W1202 12:36:19.996000 140439112750912 torch/distributed/run.py:779] 
W1202 12:36:19.996000 140439112750912 torch/distributed/run.py:779] *****************************************
W1202 12:36:19.996000 140439112750912 torch/distributed/run.py:779] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
W1202 12:36:19.996000 140439112750912 torch/distributed/run.py:779] *****************************************
usage: launcher.py [-h] [--vllm_maxlen VLLM_MAXLEN] [--vllm_gpu_util VLLM_GPU_UTIL] [--vllm_enforce_eager [VLLM_ENFORCE_EAGER]] [--vllm_max_lora_rank VLLM_MAX_LORA_RANK] [--vllm_config VLLM_CONFIG] [--export_dir EXPORT_DIR] [--export_size EXPORT_SIZE]
                   [--export_device {cpu,auto}] [--export_quantization_bit EXPORT_QUANTIZATION_BIT] [--export_quantization_dataset EXPORT_QUANTIZATION_DATASET] [--export_quantization_nsamples EXPORT_QUANTIZATION_NSAMPLES]
                   [--export_quantization_maxlen EXPORT_QUANTIZATION_MAXLEN] [--export_legacy_format [EXPORT_LEGACY_FORMAT]] [--export_hub_model_id EXPORT_HUB_MODEL_ID] [--image_resolution IMAGE_RESOLUTION] [--video_resolution VIDEO_RESOLUTION] [--video_fps VIDEO_FPS]
                   [--video_maxlen VIDEO_MAXLEN] [--quantization_method {bitsandbytes,hqq,eetq}] [--quantization_bit QUANTIZATION_BIT] [--quantization_type {fp4,nf4}] [--double_quantization [DOUBLE_QUANTIZATION]] [--no_double_quantization]
                   [--quantization_device_map {auto}] [--model_name_or_path MODEL_NAME_OR_PATH] [--adapter_name_or_path ADAPTER_NAME_OR_PATH] [--adapter_folder ADAPTER_FOLDER] [--cache_dir CACHE_DIR] [--use_fast_tokenizer [USE_FAST_TOKENIZER]] [--no_use_fast_tokenizer]
                   [--resize_vocab [RESIZE_VOCAB]] [--split_special_tokens [SPLIT_SPECIAL_TOKENS]] [--new_special_tokens NEW_SPECIAL_TOKENS] [--model_revision MODEL_REVISION] [--low_cpu_mem_usage [LOW_CPU_MEM_USAGE]] [--no_low_cpu_mem_usage]
                   [--rope_scaling {linear,dynamic}] [--flash_attn {auto,disabled,sdpa,fa2}] [--shift_attn [SHIFT_ATTN]] [--mixture_of_depths {convert,load}] [--use_unsloth [USE_UNSLOTH]] [--use_unsloth_gc [USE_UNSLOTH_GC]] [--enable_liger_kernel [ENABLE_LIGER_KERNEL]]
                   [--moe_aux_loss_coef MOE_AUX_LOSS_COEF] [--disable_gradient_checkpointing [DISABLE_GRADIENT_CHECKPOINTING]] [--upcast_layernorm [UPCAST_LAYERNORM]] [--upcast_lmhead_output [UPCAST_LMHEAD_OUTPUT]] [--train_from_scratch [TRAIN_FROM_SCRATCH]]
                   [--infer_backend {huggingface,vllm}] [--offload_folder OFFLOAD_FOLDER] [--use_cache [USE_CACHE]] [--no_use_cache] [--infer_dtype {auto,float16,bfloat16,float32}] [--hf_hub_token HF_HUB_TOKEN] [--ms_hub_token MS_HUB_TOKEN] [--om_hub_token OM_HUB_TOKEN]
                   [--print_param_status [PRINT_PARAM_STATUS]] [--template TEMPLATE] [--dataset DATASET] [--eval_dataset EVAL_DATASET] [--dataset_dir DATASET_DIR] [--image_dir IMAGE_DIR] [--cutoff_len CUTOFF_LEN] [--train_on_prompt [TRAIN_ON_PROMPT]]
                   [--mask_history [MASK_HISTORY]] [--streaming [STREAMING]] [--buffer_size BUFFER_SIZE] [--mix_strategy {concat,interleave_under,interleave_over}] [--interleave_probs INTERLEAVE_PROBS] [--overwrite_cache [OVERWRITE_CACHE]]
                   [--preprocessing_batch_size PREPROCESSING_BATCH_SIZE] [--preprocessing_num_workers PREPROCESSING_NUM_WORKERS] [--max_samples MAX_SAMPLES] [--eval_num_beams EVAL_NUM_BEAMS] [--ignore_pad_token_for_loss [IGNORE_PAD_TOKEN_FOR_LOSS]]
                   [--no_ignore_pad_token_for_loss] [--val_size VAL_SIZE] [--packing PACKING] [--neat_packing [NEAT_PACKING]] [--tool_format TOOL_FORMAT] [--tokenized_path TOKENIZED_PATH] --output_dir OUTPUT_DIR [--overwrite_output_dir [OVERWRITE_OUTPUT_DIR]]
                   [--do_train [DO_TRAIN]] [--do_eval [DO_EVAL]] [--do_predict [DO_PREDICT]] [--eval_strategy {no,steps,epoch}] [--prediction_loss_only [PREDICTION_LOSS_ONLY]] [--per_device_train_batch_size PER_DEVICE_TRAIN_BATCH_SIZE]
                   [--per_device_eval_batch_size PER_DEVICE_EVAL_BATCH_SIZE] [--per_gpu_train_batch_size PER_GPU_TRAIN_BATCH_SIZE] [--per_gpu_eval_batch_size PER_GPU_EVAL_BATCH_SIZE] [--gradient_accumulation_steps GRADIENT_ACCUMULATION_STEPS]
                   [--eval_accumulation_steps EVAL_ACCUMULATION_STEPS] [--eval_delay EVAL_DELAY] [--torch_empty_cache_steps TORCH_EMPTY_CACHE_STEPS] [--learning_rate LEARNING_RATE] [--weight_decay WEIGHT_DECAY] [--adam_beta1 ADAM_BETA1] [--adam_beta2 ADAM_BETA2]
                   [--adam_epsilon ADAM_EPSILON] [--max_grad_norm MAX_GRAD_NORM] [--num_train_epochs NUM_TRAIN_EPOCHS] [--max_steps MAX_STEPS]
                   [--lr_scheduler_type {linear,cosine,cosine_with_restarts,polynomial,constant,constant_with_warmup,inverse_sqrt,reduce_lr_on_plateau,cosine_with_min_lr,warmup_stable_decay}] [--lr_scheduler_kwargs LR_SCHEDULER_KWARGS] [--warmup_ratio WARMUP_RATIO]
                   [--warmup_steps WARMUP_STEPS] [--log_level {detail,debug,info,warning,error,critical,passive}] [--log_level_replica {detail,debug,info,warning,error,critical,passive}] [--log_on_each_node [LOG_ON_EACH_NODE]] [--no_log_on_each_node]
                   [--logging_dir LOGGING_DIR] [--logging_strategy {no,steps,epoch}] [--logging_first_step [LOGGING_FIRST_STEP]] [--logging_steps LOGGING_STEPS] [--logging_nan_inf_filter [LOGGING_NAN_INF_FILTER]] [--no_logging_nan_inf_filter]
                   [--save_strategy {no,steps,epoch}] [--save_steps SAVE_STEPS] [--save_total_limit SAVE_TOTAL_LIMIT] [--save_safetensors [SAVE_SAFETENSORS]] [--no_save_safetensors] [--save_on_each_node [SAVE_ON_EACH_NODE]] [--save_only_model [SAVE_ONLY_MODEL]]
                   [--restore_callback_states_from_checkpoint [RESTORE_CALLBACK_STATES_FROM_CHECKPOINT]] [--no_cuda [NO_CUDA]] [--use_cpu [USE_CPU]] [--use_mps_device [USE_MPS_DEVICE]] [--seed SEED] [--data_seed DATA_SEED] [--jit_mode_eval [JIT_MODE_EVAL]]
                   [--use_ipex [USE_IPEX]] [--bf16 [BF16]] [--fp16 [FP16]] [--fp16_opt_level FP16_OPT_LEVEL] [--half_precision_backend {auto,apex,cpu_amp}] [--bf16_full_eval [BF16_FULL_EVAL]] [--fp16_full_eval [FP16_FULL_EVAL]] [--tf32 TF32] [--local_rank LOCAL_RANK]
                   [--ddp_backend {nccl,gloo,mpi,ccl,hccl,cncl,mccl}] [--tpu_num_cores TPU_NUM_CORES] [--tpu_metrics_debug [TPU_METRICS_DEBUG]] [--debug DEBUG [DEBUG ...]] [--dataloader_drop_last [DATALOADER_DROP_LAST]] [--eval_steps EVAL_STEPS]
                   [--dataloader_num_workers DATALOADER_NUM_WORKERS] [--dataloader_prefetch_factor DATALOADER_PREFETCH_FACTOR] [--past_index PAST_INDEX] [--run_name RUN_NAME] [--disable_tqdm DISABLE_TQDM] [--remove_unused_columns [REMOVE_UNUSED_COLUMNS]]
                   [--no_remove_unused_columns] [--label_names LABEL_NAMES [LABEL_NAMES ...]] [--load_best_model_at_end [LOAD_BEST_MODEL_AT_END]] [--metric_for_best_model METRIC_FOR_BEST_MODEL] [--greater_is_better GREATER_IS_BETTER]
                   [--ignore_data_skip [IGNORE_DATA_SKIP]] [--fsdp FSDP] [--fsdp_min_num_params FSDP_MIN_NUM_PARAMS] [--fsdp_config FSDP_CONFIG] [--fsdp_transformer_layer_cls_to_wrap FSDP_TRANSFORMER_LAYER_CLS_TO_WRAP] [--accelerator_config ACCELERATOR_CONFIG]
                   [--deepspeed DEEPSPEED] [--label_smoothing_factor LABEL_SMOOTHING_FACTOR]
                   [--optim {adamw_hf,adamw_torch,adamw_torch_fused,adamw_torch_xla,adamw_torch_npu_fused,adamw_apex_fused,adafactor,adamw_anyprecision,adamw_torch_4bit,ademamix,sgd,adagrad,adamw_bnb_8bit,adamw_8bit,ademamix_8bit,lion_8bit,lion_32bit,paged_adamw_32bit,paged_adamw_8bit,paged_ademamix_32bit,paged_ademamix_8bit,paged_lion_32bit,paged_lion_8bit,rmsprop,rmsprop_bnb,rmsprop_bnb_8bit,rmsprop_bnb_32bit,galore_adamw,galore_adamw_8bit,galore_adafactor,galore_adamw_layerwise,galore_adamw_8bit_layerwise,galore_adafactor_layerwise,lomo,adalomo,grokadamw,schedule_free_adamw,schedule_free_sgd}]
                   [--optim_args OPTIM_ARGS] [--adafactor [ADAFACTOR]] [--group_by_length [GROUP_BY_LENGTH]] [--length_column_name LENGTH_COLUMN_NAME] [--report_to REPORT_TO] [--ddp_find_unused_parameters DDP_FIND_UNUSED_PARAMETERS] [--ddp_bucket_cap_mb DDP_BUCKET_CAP_MB]
                   [--ddp_broadcast_buffers DDP_BROADCAST_BUFFERS] [--dataloader_pin_memory [DATALOADER_PIN_MEMORY]] [--no_dataloader_pin_memory] [--dataloader_persistent_workers [DATALOADER_PERSISTENT_WORKERS]] [--skip_memory_metrics [SKIP_MEMORY_METRICS]]
                   [--no_skip_memory_metrics] [--use_legacy_prediction_loop [USE_LEGACY_PREDICTION_LOOP]] [--push_to_hub [PUSH_TO_HUB]] [--resume_from_checkpoint RESUME_FROM_CHECKPOINT] [--hub_model_id HUB_MODEL_ID]
                   [--hub_strategy {end,every_save,checkpoint,all_checkpoints}] [--hub_token HUB_TOKEN] [--hub_private_repo [HUB_PRIVATE_REPO]] [--hub_always_push [HUB_ALWAYS_PUSH]] [--gradient_checkpointing [GRADIENT_CHECKPOINTING]]
                   [--gradient_checkpointing_kwargs GRADIENT_CHECKPOINTING_KWARGS] [--include_inputs_for_metrics [INCLUDE_INPUTS_FOR_METRICS]] [--include_for_metrics INCLUDE_FOR_METRICS [INCLUDE_FOR_METRICS ...]] [--eval_do_concat_batches [EVAL_DO_CONCAT_BATCHES]]