torch>=2.0
transformers>=4.36
numpy
scipy
datasets>=2.0

[align]
peft>=0.7
datasets>=2.0

[cartography]
matplotlib>=3.7
seaborn>=0.12
tqdm

[demo]
rho-eval[cartography]
gradio>=4.0
pandas

[deploy]
safetensors

[dev]
rho-eval[full]
pytest

[eval]
lm-eval>=0.4
datasets>=2.0

[full]
rho-eval[align,cartography,demo,deploy,eval]

[full:sys_platform == "darwin"]
mlx>=0.5
mlx-lm>=0.5
