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"""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:
if line.startswith("--extra-index-url"):
# Handle custom index URLs
_, url = line.split()
_dependency_links.append(url)
elif (
"flash-attn" not in line
and "flash-attention" not in line
and "deepspeed" not in line
and line
and line[0] != "#"
):
# Handle standard packages
_install_requires.append(line)
try:
torch_version = version("torch")
if torch_version.startswith("2.1.1"):
_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="0.3.0",
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==2.3.3",
],
"fused-dense-lib": [
"fused-dense-lib @ git+https://github.com/Dao-AILab/flash-attention@v2.3.3#subdirectory=csrc/fused_dense_lib",
],
"deepspeed": [
"deepspeed",
],
"mamba-ssm": [
"mamba-ssm==1.0.1",
],
"auto-gptq": [
"auto-gptq==0.5.1",
],
},
)
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