vllm/requirements/test.in

# testing
pytest
tensorizer==2.10.1
pytest-forked
pytest-asyncio
pytest-rerunfailures
pytest-shard
pytest-timeout

# testing utils
backoff # required for phi4mm test
blobfile # required for kimi-vl test
einops # required for MPT, qwen-vl
httpx
librosa # required for audio tests
vector_quantize_pytorch # required for minicpmo_26 test
vocos # required for minicpmo_26 test
peft>=0.15.0 # required for phi-4-mm test
pqdm
ray[cgraph,default]>=2.48.0 # Ray Compiled Graph, required by pipeline parallelism tests
sentence-transformers # required for embedding tests
soundfile # required for audio tests
jiwer # required for audio tests
timm >=1.0.17 # required for internvl and gemma3n-mm test
torch==2.7.1
torchaudio==2.7.1
torchvision==0.22.1
transformers_stream_generator # required for qwen-vl test
matplotlib # required for qwen-vl test
mistral_common[image,audio] >= 1.8.2 # required for voxtral test
num2words # required for smolvlm test
open_clip_torch==2.32.0 # Required for nemotron_vl test
opencv-python-headless >= 4.11.0 # required for video test
datamodel_code_generator # required for minicpm3 test
# TODO: Use lm-eval[api]==0.4.10 once released
lm-eval[api] @ git+https://github.com/EleutherAI/lm-evaluation-harness.git@206b7722158f58c35b7ffcd53b035fdbdda5126d # required for model evaluation test
mteb[bm25s]>=1.38.11, <2 # required for mteb test
transformers==4.55.2
tokenizers==0.21.1
schemathesis>=3.39.15 # Required for openai schema test.
# quantization
bitsandbytes==0.46.1
buildkite-test-collector==0.1.9


genai_perf==0.0.8
tritonclient==2.51.0

numba == 0.60.0; python_version == '3.9' # v0.61 doesn't support Python 3.9. Required for N-gram speculative decoding
numba == 0.61.2; python_version > '3.9'
numpy
runai-model-streamer==0.11.0
runai-model-streamer-s3==0.11.0
fastsafetensors>=0.1.10
pydantic>=2.10 # 2.9 leads to error on python 3.10
terratorch==1.1rc2 # required for PrithviMAE test
decord==0.6.0