# Stack 2.9 Training Pipeline Requirements

# Core ML libraries
torch>=2.0.0
transformers>=4.35.0
tokenizers>=0.15.0
sentencepiece>=0.1.99

# Accelerate and optimization
accelerate>=0.25.0
bitsandbytes>=0.41.0
peft>=0.7.0

# Training and datasets
datasets>=2.14.0
trl>=0.7.0
deepspeed>=0.12.0

# AWQ quantization
awq>=0.1.0
autoawq>=0.2.0

# Unsloth (optional, for faster training)
# unsloth

# Logging
wandb>=0.15.0
tensorboard>=2.15.0

# Data processing
pandas>=2.0.0
numpy>=1.24.0
pyyaml>=6.0

# Utilities
 tqdm>=4.66.0
 requests>=2.31.0
 safetensors>=0.4.0

# Jupyter (optional)
jupyter>=1.0.0
ipykernel>=6.25.0
ipywidgets>=8.1.0
notebook>=7.0.0