I am trying to install vllm and its appropriate dependencies on DataBricks Cluster DBR 17.0.
I have the vllm wheel and its dependent wheels within the databricks catalog in a Volumes folder.
I am running the following command below to install all the wheel files.
%pip install /Volumes/workspace/libs/artifacts/vllm-v0.10.1.1/*.whl
I keep finding myself running into this issue below
The conflict is caused by:
The user requested numba 0.61.2 (from /Volumes/workspace/libs/artifacts/vllm-v0.10.1.1/numba-0.61.2-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl)
vllm 0.10.1.1+cu118 depends on numba==0.61.2; python_version > "3.9"
ydata-profiling 4.16.1 depends on numba<=0.61 and >=0.56.0
Downgrading numba<=0.61 causes vllm to fail as it depends on numba==0.61.2 but ydata-profiling throws an error when numba is not <0.61
I do not have a wheel for ydata-profiling being installed within the volumes folder
Here are all the wheels files located within the volumes that are being installed for vllm
aiohappyeyeballs 2.6.1
aiohttp 3.12.15
aiosignal 1.4.0
annotated-types 0.7.0
anyio 4.10.0
astor 0.8.1
attrs 25.3.0
blake3 1.0.5
cachetools 6.2.0
cbor2 5.7.0
certifi 2025.8.3
cffi 2.0.0
charset-normalizer 3.4.3
click 8.2.1
cloudpickle 3.1.1
compressed-tensors 0.10.2
cupy-cuda12x 13.6.0
depyf 0.19.0
dill 0.4.0
diskcache 5.6.3
distro 1.9.0
dnspython 2.8.0
einops 0.8.1
email-validator 2.3.0
fastapi 0.116.1
fastapi-cli 0.0.11
fastapi-cloud-cli 0.1.5
fastrlock 0.8.3
filelock 3.19.1
frozenlist 1.7.0
fsspec 2025.9.0
gguf 0.17.1
h11 0.16.0
hf-xet 1.1.9
httpcore 1.0.9
httptools 0.6.4
httpx 0.28.1
huggingface-hub 0.34.4
idna 3.10
interegular 0.3.3
Jinja2 3.1.6
jiter 0.10.0
jsonschema 4.25.1
jsonschema-specifications 2025.9.1
lark 1.2.2
llguidance 0.7.30
llvmlite 0.44.0
lm-format-enforcer 0.10.12
markdown-it-py 4.0.0
MarkupSafe 3.0.2
mdurl 0.1.2
mistral_common 1.8.4
mpmath 1.3.0
msgpack 1.1.1
msgspec 0.19.0
multidict 6.6.4
networkx 3.5
ninja 1.13.0
numba 0.61.2
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 1.11.1.6
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-nccl-cu12 2.26.2
nvidia-nvjitlink-cu12 12.6.85
nvidia-nvtx-cu12 12.6.77
openai 1.107.0
openai-harmony 0.0.4
opencv-python-headless 4.12.0.88
outlines_core 0.2.10
packaging 25.0
partial-json-parser 0.2.1.1.post6
pillow 11.3.0
pip 25.2
prometheus_client 0.22.1
prometheus-fastapi-instrumentator 7.1.0
propcache 0.3.2
protobuf 6.32.0
psutil 7.0.0
py-cpuinfo 9.0.0
pybase64 1.4.2
pycountry 24.6.1
pycparser 2.23
pydantic 2.11.7
pydantic_core 2.33.2
pydantic-extra-types 2.10.5
Pygments 2.19.2
python-dotenv 1.1.1
python-json-logger 3.3.0
python-multipart 0.0.20
PyYAML 6.0.2
pyzmq 27.1.0
ray 2.49.1
referencing 0.36.2
regex 2025.9.1
requests 2.32.5
rich 14.1.0
rich-toolkit 0.15.1
rignore 0.6.4
rpds-py 0.27.1
safetensors 0.6.2
scipy 1.16.1
sentencepiece 0.2.1
sentry-sdk 2.37.1
setproctitle 1.3.7
setuptools 79.0.1
shellingham 1.5.4
six 1.17.0
sniffio 1.3.1
soundfile 0.13.1
soxr 1.0.0
starlette 0.47.3
sympy 1.14.0
tiktoken 0.11.0
tokenizers 0.22.0
torch 2.7.1
torchaudio 2.7.1
torchvision 0.22.1
tqdm 4.67.1
transformers 4.56.1
triton 3.3.1
typer 0.17.4
typing_extensions 4.15.0
typing-inspection 0.4.1
urllib3 2.5.0
uvicorn 0.35.0
uvloop 0.21.0
vllm 0.10.1.1
watchfiles 1.1.0
websockets 15.0.1
wget 3.2
xformers 0.0.31
xgrammar 0.1.21
yarl 1.20.1
What is causing the compatibility issues between numba & ydata-profiling which is not allowing vllm to be installed on databricks 17.0 cluster.
Thanks
