minimind-v/pyproject.toml

63 lines
1.5 KiB
TOML

[project]
name = "minimind-v"
version = "0.1.0"
description = "MiniMind-V multimodal vision-language model training and inference scripts."
readme = "README.md"
requires-python = ">=3.10,<3.11"
dependencies = [
"datasets==3.6.0",
"datasketch==1.6.4",
"Flask==3.0.3",
"Flask-Cors==4.0.0",
"jieba==0.42.1",
"jsonlines==4.0.0",
"marshmallow==3.22.0",
"matplotlib==3.5.1",
"ngrok==1.4.0",
"nltk==3.8",
"numpy==1.26.4",
"openai==1.59.6",
"peft==0.7.1",
"psutil==5.9.8",
"pydantic==2.8.2",
"rich==13.7.1",
"scikit-learn==1.5.1",
"sentence-transformers==2.3.1",
"simhash==2.1.2",
"tiktoken==0.10.0",
"transformers==4.57.6",
"jinja2==3.1.2",
"trl==0.13.0",
"ujson==5.1.0",
"wandb==0.18.3",
"streamlit==1.50.0",
"gradio==5.49.1",
"modelscope-studio==1.6.1",
"python-multipart==0.0.22",
"pyarrow==23.0.0",
"Pillow",
"swanlab==0.6.12",
"torch==2.10.0",
"torchvision==0.25.0",
]
[tool.uv]
package = false
[tool.uv.sources]
torch = [
{ index = "pytorch-cu128", marker = "sys_platform == 'win32' or sys_platform == 'linux'" },
]
torchvision = [
{ index = "pytorch-cu128", marker = "sys_platform == 'win32' or sys_platform == 'linux'" },
]
[[tool.uv.index]]
url = "https://pypi.tuna.tsinghua.edu.cn/simple"
default = true
[[tool.uv.index]]
name = "pytorch-cu128"
url = "https://download.pytorch.org/whl/cu128"
explicit = true