# Real-search GRPO training & evaluation (tested in conda env: genrl, Python 3.11)
# Install PyTorch for your CUDA version first, then:
#   pip install -r requirements.txt
# Optional (recommended on H100): pip install flash-attn --no-build-isolation

# Core training
ray==2.55.1
sglang==0.5.10.post1
transformers==5.3.0
torch==2.9.1
torchvision==0.24.1
torchaudio==2.9.1
triton==3.5.1
accelerate==1.13.0
peft==0.19.1
deepspeed==0.19.0

# Config & hub
hydra-core==1.3.2
omegaconf==2.3.0
huggingface_hub==1.14.0
safetensors==0.7.0
tokenizers==0.22.2
datasets==4.8.5

# Eval & tools
openai==2.6.1
pydantic==2.12.5
requests==2.32.3
httpx==0.28.1
aiohttp==3.13.5
fastapi==0.136.1
uvicorn==0.46.0
tiktoken==0.12.0
sentencepiece==0.2.1

# Utilities
numpy==1.26.4
pandas==3.0.3
pyarrow==24.0.0
fsspec==2026.2.0
einops==0.8.2
tqdm==4.67.3
PyYAML==6.0.1
jsonschema==4.26.0
codetiming==1.4.0
wandb==0.27.0
tensorboard==2.20.0
psutil==7.2.2
Jinja2==3.1.6
rich==15.0.0

# Optional acceleration (install separately if needed)
# flash-attn==4.0.0b13