# AIRUN LLM Fine-tuning Requirements
# Core machine learning libraries
torch>=2.0.0
transformers>=4.36.0
peft>=0.7.0
datasets>=2.14.0
accelerate>=0.20.0
bitsandbytes>=0.41.0

# Scientific computing
numpy>=1.24.0
scipy>=1.10.0
scikit-learn>=1.3.0

# Utilities and logging
tqdm>=4.65.0
tensorboard>=2.13.0
packaging>=23.0

# Optional but recommended
torch-audio>=2.0.0
sentencepiece>=0.1.99
tokenizers>=0.13.0
safetensors>=0.3.0