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# =============================================================
# Pinned environment used during development on a single H100 node
# (CUDA 12.6, Linux x86_64, Python 3.10).
#
# conda create -n diffretriever python=3.10 -y
# conda activate diffretriever
# pip install -r requirements.txt
#
# Also run scripts/download_data.sh to fetch MS MARCO + TREC DL +
# BEIR-7 + NLTK data, or do `python -c "import nltk;
# nltk.download('punkt'); nltk.download('punkt_tab');
# nltk.download('stopwords')"` separately.
#
# OPTIONAL — flash-attention 2 (much faster encoding/training).
# Not pinned here because the wheel is platform-specific. Install
# the prebuilt wheel matching your CUDA / torch / cxx11abi from
# https://github.com/Dao-AILab/flash-attention/releases e.g.:
# pip install flash-attn --no-build-isolation
# or download the matching .whl and `pip install <wheel>`.
# =============================================================
accelerate==1.12.0
aiohappyeyeballs==2.6.1
aiohttp==3.13.3
aiosignal==1.4.0
annotated-doc==0.0.4
annotated-types==0.7.0
anyio==4.12.1
ape_r_cuda==0.0.0
async-timeout==5.0.1
attrs==25.4.0
blinker==1.9.0
certifi==2026.2.25
cffi==2.0.0
charset-normalizer==3.4.4
click==8.3.1
coloredlogs==15.0.1
contourpy==1.3.2
cryptography==46.0.7
cuda-bindings==12.9.4
cuda-pathfinder==1.4.0
cycler==0.12.1
Cython==3.2.4
datasets==4.6.1
deepspeed==0.18.8
dill==0.4.0
distro==1.9.0
einops==0.8.2
evaluate==0.4.6
exceptiongroup==1.3.1
faiss==1.10.0
faiss-gpu==1.7.2
fastapi==0.136.0
filelock==3.25.0
Flask==3.1.3
flatbuffers==25.12.19
fonttools==4.62.1
frozenlist==1.8.0
fsspec==2026.2.0
gitdb==4.0.12
GitPython==3.1.46
h11==0.16.0
hf-xet==1.3.2
hjson==3.1.0
httpcore==1.0.9
httpx==0.28.1
httpx-sse==0.4.3
huggingface_hub==0.36.2
humanfriendly==10.0
idna==3.11
itsdangerous==2.2.0
Jinja2==3.1.6
jiter==0.14.0
joblib==1.5.3
jsonschema==4.26.0
jsonschema-specifications==2025.9.1
kiwisolver==1.5.0
liger_kernel==0.7.0
llm2vec==0.2.3
lz4==4.4.5
markdown-it-py==4.0.0
MarkupSafe==3.0.3
matplotlib==3.10.8
mcp==1.27.0
mdurl==0.1.2
mpmath==1.3.0
msgpack==1.1.2
multidict==6.7.1
multiprocess==0.70.18
networkx==3.4.2
ninja==1.13.0
nltk==3.9.3
numpy==2.2.6
nvidia-cublas-cu12==12.6.4.1
nvidia-cuda-cupti-cu12==12.6.80
nvidia-cuda-nvrtc-cu12==12.6.77
nvidia-cuda-runtime-cu12==12.6.77
nvidia-cudnn-cu12==9.5.1.17
nvidia-cufft-cu12==11.3.0.4
nvidia-cufile-cu12==1.13.1.3
nvidia-curand-cu12==10.3.7.77
nvidia-cusolver-cu12==11.7.1.2
nvidia-cusparse-cu12==12.5.4.2
nvidia-cusparselt-cu12==0.6.3
nvidia-libnvcomp-cu12==5.2.0.13
nvidia-nccl-cu12==2.21.5
nvidia-nvcomp-cu12==5.2.0.13
nvidia-nvjitlink-cu12==12.6.85
nvidia-nvshmem-cu12==3.4.5
nvidia-nvtx-cu12==12.6.77
onnxruntime==1.23.2
openai==2.32.0
packaging
pandas==2.3.3
peft==0.18.1
pillow==12.0.0
platformdirs==4.9.4
propcache==0.4.1
protobuf==6.33.5
psutil==7.2.2
py-cpuinfo==9.0.0
pyarrow==23.0.1
pycparser==3.0
pydantic==2.12.5
pydantic-settings==2.14.0
pydantic_core==2.41.5
Pygments==2.19.2
pyjnius==1.7.0
PyJWT==2.12.1
pyparsing==3.3.2
pyserini==1.2.0
python-dateutil==2.9.0.post0
python-dotenv==1.2.2
python-multipart==0.0.26
pytrec-eval-terrier==0.5.6
pytz==2025.2
PyYAML==6.0.3
referencing==0.37.0
regex==2026.2.28
requests==2.32.5
rich==14.3.3
rpds-py==0.30.0
safetensors==0.7.0
scikit-learn==1.7.2
scipy==1.15.3
sentencepiece==0.2.1
sentry-sdk==2.55.0
shellingham==1.5.4
six==1.17.0
smmap==5.0.3
sniffio==1.3.1
sse-starlette==3.3.4
starlette==1.0.0
sympy==1.13.1
threadpoolctl==3.6.0
tiktoken==0.12.0
tokenizers==0.21.4
torch==2.6.0+cu126
torchaudio==2.6.0+cu126
torchvision==0.21.0+cu126
tqdm==4.67.3
transformers==4.54.0
triton==3.2.0
typer==0.24.1
typer-slim==0.24.0
typing-inspection==0.4.2
typing_extensions==4.15.0
tzdata==2025.3
urllib3==2.6.3
uvicorn==0.44.0
wandb==0.25.1
Werkzeug==3.1.8
xxhash==3.6.0
yarl==1.23.0
zstandard==0.25.0