"""setup.py for axolotl""" from importlib.metadata import PackageNotFoundError, version from setuptools import find_packages, setup def parse_requirements(): _install_requires = [] _dependency_links = [] with open("./requirements.txt", encoding="utf-8") as requirements_file: lines = [r.strip() for r in requirements_file.readlines()] for line in lines: is_extras = ( "flash-attn" in line or "flash-attention" in line or "deepspeed" in line or "mamba-ssm" in line ) if line.startswith("--extra-index-url"): # Handle custom index URLs _, url = line.split() _dependency_links.append(url) elif not is_extras and line and line[0] != "#": # Handle standard packages _install_requires.append(line) try: torch_version = version("torch") _install_requires.append(f"torch=={torch_version}") if torch_version.startswith("2.1."): _install_requires.pop(_install_requires.index("xformers==0.0.22")) _install_requires.append("xformers>=0.0.23") except PackageNotFoundError: pass return _install_requires, _dependency_links install_requires, dependency_links = parse_requirements() setup( name="axolotl", version="0.4.0", description="LLM Trainer", long_description="Axolotl is a tool designed to streamline the fine-tuning of various AI models, offering support for multiple configurations and architectures.", package_dir={"": "src"}, packages=find_packages(), install_requires=install_requires, dependency_links=dependency_links, extras_require={ "flash-attn": [ "flash-attn==2.5.0", ], "fused-dense-lib": [ "fused-dense-lib @ git+https://github.com/Dao-AILab/flash-attention@v2.3.3#subdirectory=csrc/fused_dense_lib", ], "deepspeed": [ "deepspeed>=0.13.1", "deepspeed-kernels", ], "mamba-ssm": [ "mamba-ssm==1.0.1", ], "auto-gptq": [ "auto-gptq==0.5.1", ], }, )