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Serverless GPU environment version 5 (Preview)

Preview

This feature is in Public Preview.

This page outlines the system environment information for Serverless GPU environment version 5. This compute offering is part of AI Runtime, which is designed for modern AI and deep learning workloads.

Serverless GPU environment 5 is built on top of serverless environment 5 (CPU). See what's new in serverless environment 5 (CPU). It includes the following environment:

To ensure compatibility for the application, Serverless GPU workloads use a versioned API, known as the environment version, which remains compatible with newer server versions.

You can select a base environment that includes this environment version using the Environment side panel in your serverless notebooks. See Interactive (Notebooks).

New features and improvements​

In version 5, Databricks is providing a minimal environment that supports only serverless GPU API, the Databricks dependencies, and MLflow. Users can customize the environment to their needs. The default base environment in version 5 does not include certain packages present in the CPU environment, in order to provide a minimal functional GPU environment. Users wanting a complete environment with comprehensive AI libraries should use the Databricks AI environment.

Faster package installs with %uv pip​

May 7, 2026

You can now use the %uv pip magic command in serverless notebooks as a faster alternative to %pip for Python package management. %uv pip is powered by the uv package manager and shares the same notebook virtual environment as %pip. See Faster installs with %uv pip.

API updates​

May 11, 2026

Serverless GPU Python API upgraded to 0.5.17​

The Serverless GPU Python API 0.5.17 includes the following API updates:

  • Bug fixes:
    • The API now falls back to on-demand compute when GPU pool options are unavailable, preventing workload failures during service interruptions.
    • Workload creation errors now include the full server response body for faster troubleshooting.
    • Improved error messaging for incorrect usage of the @distributed decorator.
    • Nested MLflow runs in @distributed(remote=False) local execution are now supported. Running inside an active MLflow run now creates a nested child run instead of terminating the existing parent run.
  • New features:
    • Cleaner local logs: By default, system metrics info-level logs are suppressed during local execution to reduce log noise.

April 24, 2026

Serverless GPU Python API upgraded to 0.5.16​

The Serverless GPU Python API 0.5.16 includes the following API updates:

  • New features:
    • Added UCVolumeDataset, a Torch IterableDataset that streams files from a Unity Catalog FUSE-mounted volume. File lists are automatically partitioned across distributed ranks and DataLoader workers so each (rank, worker) pair receives a non-overlapping slice.
    • The Serverless GPU API now supports the 1xH100 accelerator type for single-H100 workloads.
    • Reduced log noise from PySpark and Py4J during local execution. The log directory message is now logged at debug level instead of printed.

April 14, 2026

Serverless GPU Python API upgraded to 0.5.15​

The Serverless GPU Python API 0.5.15 includes the following API updates:

  • New features:
    • Added log propagation to MLflow for local Serverless GPU API runs. Training logs from local runs are now automatically uploaded to MLflow.
  • Bug fixes:
    • When PyTorch is not installed, the error message now correctly indicates that the Standard v5 base environment does not include torch.
  • Security:
    • Pinned all Python dependency versions to exact versions to prevent supply chain attacks from newly published malicious package versions.

Mar 17, 2026

Serverless GPU Python API upgraded to 0.5.14​

The Serverless GPU Python API 0.5.14 includes the following API updates:

  • Bug fixes:
    • Fixed an issue where the Serverless GPU API failed on control planes without MAPI available. The API now gracefully falls back to on-demand compute when MAPI is unreachable.

Mar 2, 2026

Serverless GPU Python API upgraded to 0.5.13​

The Serverless GPU Python API 0.5.13 includes the following API updates:

  • Bug fixes:
    • Fixed an issue where the MLflow active run was not closed after local execution completed.
    • Fixed MLflow log streaming compatibility with MLflow 3.x. A change in artifact download path behavior in MLflow 3.x caused log streaming to break. Log streaming now works correctly with both MLflow 2.x and 3.x.
    • Fixed an issue causing training runs to hang. The cross-rank MLflow status synchronization feature introduced in a previous version has been reverted.

Packages added to Databricks AI environment​

The following new packages have been added to the Databricks AI environment in version 5:

  • catboost 1.2.8
  • trl 0.23.0
  • unsloth 2025.11.3
  • vllm 0.13.0
  • omegaconf 2.3.0
  • statsmodels 0.14.4
  • networkx 3.4.2

Packages removed from Databricks AI environment​

The following packages have been removed from the Databricks AI environment in version 5:

  • spacy
  • sentencepiece

Packages not included in base environment​

The following packages are not included in the base environment but remain available in the CPU environment:

  • scipy
  • seaborn
  • scikit-learn

The following packages are not included in the base environment but remain available in the Databricks AI environment:

  • flash-attention
  • torch
  • torchvision

Based on customer feedback requesting control over PyTorch versioning, torch is not included in the base environment for version 5. This allows you to install the version that best fits your workload. To use a Databricks-tested version, run %pip install torch==2.9.0 in a notebook cell or install torch==2.9.0 using the Dependencies section of the Environment side panel.

System environment​

  • Operating System: Ubuntu 24.04.2 LTS
  • Python: 3.12.3
  • Databricks Connect: 18.0.0
  • NVIDIA CUDA Toolkit: 12.9

Installed Python libraries​

Default base environment​

To reproduce serverless GPU environment 5 in your local Python virtual environment, download the requirements-env-gpu-5.txt file and run pip install -r requirements-env-gpu-5.txt. This command installs all of the open source libraries from serverless environment 5.

Library

Version

Library

Version

Library

Version

aiohappyeyeballs

2.4.4

aiohttp

3.11.10

aiosignal

1.2.0

annotated-doc

0.0.4

annotated-types

0.7.0

anyio

4.7.0

argon2-cffi

21.3.0

argon2-cffi-bindings

21.2.0

arro3-core

0.6.5

arrow

1.3.0

asttokens

3.0.0

astunparse

1.6.3

async-lru

2.0.4

attrs

24.3.0

azure-common

1.1.28

azure-core

1.37.0

azure-identity

1.20.0

azure-mgmt-core

1.6.0

azure-mgmt-web

8.0.0

azure-storage-blob

12.28.0

azure-storage-file-datalake

12.22.0

babel

2.16.0

beautifulsoup4

4.12.3

black

24.10.0

bleach

6.2.0

blinker

1.7.0

boto3

1.40.45

botocore

1.40.45

cachetools

5.5.1

certifi

2025.4.26

cffi

1.17.1

chardet

4.0.0

charset-normalizer

3.3.2

click

8.1.8

cloudpickle

3.0.0

comm

0.2.1

contourpy

1.3.1

cryptography

44.0.1

cycler

0.11.0

Cython

3.1.5

databricks-agents

1.9.1

databricks-connect

18.0.6

databricks-sdk

0.67.0

databricks.serverless_gpu

0.5.17+patch1

dataclasses-json

0.6.7

dbus-python

1.3.2

debugpy

1.8.11

decorator

5.1.1

defusedxml

0.7.1

deltalake

1.1.4

Deprecated

1.2.18

distlib

0.3.9

distro

1.9.0

distro-info

1.7+build1

docstring-to-markdown

0.11

executing

1.2.0

facets-overview

1.1.1

fastapi

0.128.0

fastjsonschema

2.21.1

filelock

3.17.0

fonttools

4.55.3

fqdn

1.5.1

frozenlist

1.5.0

fsspec

2023.5.0

future

1.0.0

gitdb

4.0.11

GitPython

3.1.43

google-api-core

2.28.1

google-auth

2.47.0

google-cloud-core

2.5.0

google-cloud-storage

3.7.0

google-crc32c

1.8.0

google-resumable-media

2.8.0

googleapis-common-protos

1.65.0

grpcio

1.67.0

grpcio-status

1.67.0

h11

0.16.0

hf-xet

1.2.0

httpcore

1.0.9

httplib2

0.20.4

httpx

0.28.1

huggingface_hub

1.2.4

idna

3.7

importlib_metadata

8.5.0

iniconfig

1.1.1

ipyflow-core

0.0.209

ipykernel

6.29.5

ipython

8.30.0

ipython-genutils

0.2.0

ipywidgets

7.8.1

isodate

0.7.2

isoduration

20.11.0

jedi

0.19.2

Jinja2

3.1.6

jiter

0.12.0

jmespath

1.0.1

joblib

1.4.2

json5

0.9.25

jsonpatch

1.33

jsonpointer

3.0.0

jsonschema

4.23.0

jsonschema-specifications

2023.7.1

jupyter_client

8.6.3

jupyter_core

5.7.2

jupyter-events

0.12.0

jupyter-lsp

2.2.5

jupyter_server

2.15.0

jupyter_server_terminals

0.5.3

jupyterlab

4.3.4

jupyterlab_pygments

0.3.0

jupyterlab_server

2.27.3

jupyterlab_widgets

1.1.11

kiwisolver

1.4.8

langchain-core

1.2.6

langchain-openai

1.1.6

langsmith

0.6.1

launchpadlib

1.11.0

lazr.restfulclient

0.14.6

lazr.uri

1.0.6

litellm

1.75.9

markdown-it-py

2.2.0

MarkupSafe

3.0.2

marshmallow

3.26.2

matplotlib

3.10.0

matplotlib-inline

0.1.7

mccabe

0.7.0

mdurl

0.1.0

mistune

3.1.2

mlflow-skinny

3.8.1

mmh3

5.2.0

msal

1.34.0

msal-extensions

1.3.1

multidict

6.1.0

mypy-extensions

1.0.0

nbclient

0.10.2

nbconvert

7.16.6

nbformat

5.10.4

nest-asyncio

1.6.0

nodeenv

1.10.0

notebook

7.3.2

notebook_shim

0.2.4

numpy

2.1.3

nvidia-ml-py

13.590.44

oauthlib

3.2.2

openai

2.14.0

opentelemetry-api

1.39.1

opentelemetry-proto

1.39.1

opentelemetry-sdk

1.39.1

opentelemetry-semantic-conventions

0.60b1

orjson

3.11.5

overrides

7.4.0

packaging

24.2

pandas

2.2.3

pandocfilters

1.5.0

parambench-train-comms

0.0.0

parso

0.8.4

pathspec

0.10.3

patsy

1.0.1

pexpect

4.8.0

pillow

11.1.0

pip

25.0.1

platformdirs

4.3.7

plotly

5.24.1

pluggy

1.5.0

prometheus_client

0.21.1

prompt-toolkit

3.0.43

propcache

0.3.1

proto-plus

1.27.0

protobuf

5.29.4

psutil

5.9.0

psycopg2

2.9.11

ptyprocess

0.7.0

pure-eval

0.2.2

py4j

0.10.9.9

pyarrow

21.0.0

pyasn1

0.4.8

pyasn1-modules

0.2.8

pyccolo

0.0.71

pycparser

2.21

pydantic

2.10.6

pydantic_core

2.27.2

pydot

4.0.0

pyflakes

3.2.0

Pygments

2.19.1

PyGObject

3.48.2

pyiceberg

0.10.0

PyJWT

2.10.1

pyodbc

5.2.0

pyparsing

3.2.0

pyright

1.1.394

pyroaring

1.0.3

pyspark

4.1.0+databricks.connect.18.0.6

pytest

8.3.5

python-apt

2.7.7+ubuntu5.1

python-dateutil

2.9.0.post0

python-dotenv

1.2.1

python-json-logger

3.2.1

python-lsp-jsonrpc

1.1.2

python-lsp-server

1.12.2

pytoolconfig

1.2.6

pytz

2024.1

PyYAML

6.0.2

pyzmq

26.2.0

referencing

0.30.2

regex

2024.11.6

requests

2.32.3

requests-toolbelt

1.0.0

rfc3339-validator

0.1.4

rfc3986-validator

0.1.1

rich

13.9.4

rope

1.13.0

rpds-py

0.22.3

rsa

4.9.1

s3transfer

0.14.0

Send2Trash

1.8.2

setuptools

78.1.1

shellingham

1.5.4

six

1.17.0

smmap

5.0.0

sniffio

1.3.0

sortedcontainers

2.4.0

soupsieve

2.5

sqlparse

0.5.5

ssh-import-id

5.11

stack-data

0.6.3

starlette

0.50.0

strictyaml

1.7.3

tenacity

9.0.0

terminado

0.17.1

threadpoolctl

3.5.0

tiktoken

0.12.0

tinycss2

1.4.0

tokenize_rt

6.1.0

tokenizers

0.22.2

tomli

2.0.1

tornado

6.5.1

tqdm

4.67.1

traitlets

5.14.3

typer-slim

0.21.1

types-python-dateutil

2.9.0.20251115

typing_extensions

4.12.2

typing-inspect

0.9.0

tzdata

2024.1

ujson

5.10.0

unattended-upgrades

0.1

uri-template

1.3.0

urllib3

2.3.0

uuid_utils

0.12.0

uvicorn

0.40.0

virtualenv

20.29.3

wadllib

1.3.6

wcwidth

0.2.5

webcolors

25.10.0

webencodings

0.5.1

websocket-client

1.8.0

whatthepatch

1.0.2

wheel

0.45.1

whenever

0.7.3

widgetsnbextension

3.6.6

wrapt

1.17.0

yapf

0.40.2

yarl

1.18.0

zipp

3.21.0

zstandard

0.23.0

AI environment​

The AI environment includes all the packages from the default base environment, as well as the following packages. This environment includes PyTorch and comprehensive machine learning libraries:

  • torch 2.9.0
  • torchvision 0.24.0
  • flash_attn 2.8.3
  • catboost 1.2.8
  • langchain 0.3.27
  • lightgbm 4.6.0
  • openai 2.7.0
  • optuna 4.5.0
  • pytorch-lightning 2.5.4
  • ray 2.51.1
  • scikit-learn 1.6.1
  • scipy 1.15.3
  • seaborn 0.13.2
  • sentence-transformers 5.1.2
  • transformers 4.57.1
  • trl 0.23.0
  • unsloth 2025.11.3
  • vllm 0.13.0
  • xgboost 3.0.4

To reproduce AI environment V5 in your local Python virtual environment, download the requirements-ai-gpu-5.txt file and run pip install -r requirements-ai-gpu-5.txt. This command installs all the open source libraries from AI environment.

Library

Version

Library

Version

Library

Version

absl-py

2.3.1

accelerate

1.11.0

aiohappyeyeballs

2.4.4

aiohttp

3.11.10

aiohttp-cors

0.8.1

aiosignal

1.2.0

alembic

1.18.0

annotated-doc

0.0.4

annotated-types

0.7.0

anthropic

0.71.0

antlr4-python3-runtime

4.9.3

anyio

4.7.0

apache-tvm-ffi

0.1.8.post2

argon2-cffi

21.3.0

argon2-cffi-bindings

21.2.0

arro3-core

0.6.5

arrow

1.3.0

astor

0.8.1

asttokens

3.0.0

astunparse

1.6.3

async-lru

2.0.4

attrs

24.3.0

audioread

3.1.0

azure-common

1.1.28

azure-core

1.37.0

azure-identity

1.20.0

azure-mgmt-core

1.6.0

azure-mgmt-web

8.0.0

azure-storage-blob

12.28.0

azure-storage-file-datalake

12.22.0

babel

2.16.0

bcrypt

4.3.0

beautifulsoup4

4.12.3

bitsandbytes

0.49.1

black

24.10.0

blake3

1.0.8

bleach

6.2.0

blinker

1.7.0

boto3

1.40.45

botocore

1.40.45

brotli

1.2.0

cachetools

5.5.1

catalogue

2.0.10

catboost

1.2.8

cbor2

5.8.0

certifi

2025.4.26

cffi

1.17.1

chardet

4.0.0

charset-normalizer

3.3.2

circuitbreaker

2.1.3

click

8.1.8

cloudpickle

3.0.0

colorful

0.5.8

colorlog

6.10.1

comm

0.2.1

compressed-tensors

0.12.2

contourpy

1.3.1

cramjam

2.11.0

cryptography

44.0.1

cuda-bindings

13.1.1

cuda-pathfinder

1.3.3

cuda-python

13.1.1

cupy-cuda12x

13.6.0

cut-cross-entropy

25.1.1

cycler

0.11.0

Cython

3.1.5

databricks-agents

1.9.1

databricks-connect

18.0.6

databricks-sdk

0.67.0

databricks.serverless_gpu

0.5.17+patch1

dataclasses-json

0.6.7

datasets

4.3.0

dbus-python

1.3.2

debugpy

1.8.11

decorator

5.1.1

defusedxml

0.7.1

deltalake

1.1.4

Deprecated

1.2.18

depyf

0.20.0

diffusers

0.36.0

dill

0.3.8

diskcache

5.6.3

distlib

0.3.9

distro

1.9.0

distro-info

1.7+build1

dm-tree

0.1.9

dnspython

2.8.0

docstring_parser

0.17.0

docstring-to-markdown

0.11

einops

0.8.1

email-validator

2.3.0

evaluate

0.4.6

executing

1.2.0

facets-overview

1.1.1

Farama-Notifications

0.0.4

fastapi

0.128.0

fastapi-cli

0.0.20

fastapi-cloud-cli

0.9.0

fastar

0.8.0

fastjsonschema

2.21.1

fastrlock

0.8.3

filelock

3.17.0

flash_attn

2.8.3

flashinfer-python

0.5.3

fonttools

4.55.3

fqdn

1.5.1

frozenlist

1.5.0

fsspec

2023.5.0

future

1.0.0

gguf

0.17.1

gitdb

4.0.11

GitPython

3.1.43

google-api-core

2.28.1

google-auth

2.47.0

google-cloud-core

2.5.0

google-cloud-storage

3.2.0

google-crc32c

1.8.0

google-resumable-media

2.8.0

googleapis-common-protos

1.65.0

graphviz

0.21

greenlet

3.1.1

grpcio

1.67.0

grpcio-status

1.67.0

gymnasium

1.1.1

h11

0.16.0

hf_transfer

0.1.9

hf-xet

1.2.0

httpcore

1.0.9

httplib2

0.20.4

httptools

0.7.1

httpx

0.28.1

httpx-sse

0.4.3

huggingface-hub

0.34.4

idna

3.7

ijson

3.4.0.post0

importlib_metadata

8.5.0

iniconfig

1.1.1

interegular

0.3.3

ipyflow-core

0.0.209

ipykernel

6.29.5

ipython

8.30.0

ipython-genutils

0.2.0

ipywidgets

7.8.1

isodate

0.7.2

isoduration

20.11.0

jedi

0.19.2

Jinja2

3.1.6

jiter

0.12.0

jmespath

1.0.1

joblib

1.4.2

json5

0.9.25

jsonpatch

1.33

jsonpointer

3.0.0

jsonschema

4.23.0

jsonschema-specifications

2023.7.1

jupyter_client

8.6.3

jupyter_core

5.7.2

jupyter-events

0.12.0

jupyter-lsp

2.2.5

jupyter_server

2.15.0

jupyter_server_terminals

0.5.3

jupyterlab

4.3.4

jupyterlab_pygments

0.3.0

jupyterlab_server

2.27.3

jupyterlab_widgets

1.1.11

kiwisolver

1.4.8

langchain

0.3.27

langchain-community

0.3.31

langchain-core

0.3.79

langchain-openai

0.3.35

langchain-text-splitters

0.3.11

langsmith

0.6.1

lark

1.2.2

launchpadlib

1.11.0

lazr.restfulclient

0.14.6

lazr.uri

1.0.6

lazy_loader

0.4

librosa

0.11.0

lightgbm

4.6.0

lightning-utilities

0.15.2

litellm

1.75.9

llguidance

1.3.0

llvmlite

0.44.0

lm-format-enforcer

0.11.3

loguru

0.7.3

lz4

4.3.2

Mako

1.3.10

markdown-it-py

2.2.0

MarkupSafe

3.0.2

marshmallow

3.26.2

matplotlib

3.10.0

matplotlib-inline

0.1.7

mccabe

0.7.0

mcp

1.25.0

mdurl

0.1.0

mistral_common

1.8.8

mistune

3.1.2

mlflow-skinny

3.8.1

mmh3

5.2.0

model-hosting-container-standards

0.1.13

mosaicml-streaming

0.13.0

mpmath

1.3.0

msal

1.34.0

msal-extensions

1.3.1

msgpack

1.1.2

msgspec

0.20.0

multidict

6.1.0

multiprocess

0.70.16

mypy-extensions

1.0.0

nbclient

0.10.2

nbconvert

7.16.6

nbformat

5.10.4

nest-asyncio

1.6.0

networkx

3.4.2

ninja

1.13.0

nodeenv

1.10.0

notebook

7.3.2

notebook_shim

0.2.4

numba

0.61.2

numpy

2.1.3

nvidia-cublas-cu12

12.9.1.4

nvidia-cuda-cupti-cu12

12.9.79

nvidia-cuda-nvrtc-cu12

12.9.86

nvidia-cuda-runtime-cu12

12.9.79

nvidia-cudnn-cu12

9.10.2.21

nvidia-cudnn-frontend

1.17.0

nvidia-cufft-cu12

11.4.1.4

nvidia-cufile-cu12

1.14.1.1

nvidia-curand-cu12

10.3.10.19

nvidia-cusolver-cu12

11.7.5.82

nvidia-cusparse-cu12

12.5.10.65

nvidia-cusparselt-cu12

0.7.1

nvidia-cutlass-dsl

4.3.5

nvidia-ml-py

13.590.44

nvidia-nccl-cu12

2.27.5

nvidia-nvjitlink-cu12

12.9.86

nvidia-nvshmem-cu12

3.3.20

nvidia-nvtx-cu12

12.9.79

oauthlib

3.2.2

oci

2.165.0

omegaconf

2.3.0

openai

2.7.0

openai-harmony

0.0.8

opencensus

0.11.4

opencensus-context

0.1.3

opencv-python

4.12.0.88

opencv-python-headless

4.12.0.88

opentelemetry-api

1.39.1

opentelemetry-exporter-prometheus

0.60b1

opentelemetry-proto

1.39.1

opentelemetry-sdk

1.39.1

opentelemetry-semantic-conventions

0.60b1

optuna

4.5.0

optuna-integration

4.5.0

orjson

3.11.5

ormsgpack

1.7.0

outlines_core

0.2.11

overrides

7.4.0

packaging

24.2

pandas

2.2.3

pandocfilters

1.5.0

parambench-train-comms

0.0.0

paramiko

3.5.1

parso

0.8.4

partial-json-parser

0.2.1.1.post7

pathspec

0.10.3

patsy

1.0.1

peft

0.17.1

pexpect

4.8.0

pillow

11.1.0

pip

25.0.1

platformdirs

4.3.7

plotly

5.24.1

pluggy

1.5.0

pooch

1.8.2

prometheus_client

0.21.1

prometheus-fastapi-instrumentator

7.1.0

prompt-toolkit

3.0.43

propcache

0.3.1

proto-plus

1.27.0

protobuf

5.29.4

psutil

5.9.0

psycopg2

2.9.11

ptyprocess

0.7.0

pure-eval

0.2.2

py-cpuinfo

9.0.0

py-spy

0.4.1

py4j

0.10.9.9

pyarrow

21.0.0

pyasn1

0.4.8

pyasn1-modules

0.2.8

pybase64

1.4.3

pyccolo

0.0.71

pycountry

24.6.1

pycparser

2.21

pydantic

2.12.0

pydantic_core

2.41.1

pydantic-extra-types

2.11.0

pydantic-settings

2.12.0

pydot

4.0.0

pyflakes

3.2.0

Pygments

2.19.1

PyGObject

3.48.2

pyiceberg

0.10.0

PyJWT

2.10.1

PyNaCl

1.5.0

pynndescent

0.6.0

pyodbc

5.2.0

pyOpenSSL

25.0.0

pyparsing

3.2.0

pyright

1.1.394

pyroaring

1.0.3

pyspark

4.1.0+databricks.connect.18.0.6

pytesseract

0.3.13

pytest

8.3.5

python-apt

2.7.7+ubuntu5.1

python-dateutil

2.9.0.post0

python-dotenv

1.1.1

python-json-logger

3.2.1

python-lsp-jsonrpc

1.1.2

python-lsp-server

1.12.2

python-multipart

0.0.21

python-snappy

0.7.3

pytoolconfig

1.2.6

pytorch-lightning

2.5.4

pytorch-ranger

0.1.1

pytz

2024.1

PyYAML

6.0.2

pyzmq

26.2.0

ray

2.51.1

referencing

0.30.2

regex

2024.11.6

requests

2.32.5

requests-toolbelt

1.0.0

rfc3339-validator

0.1.4

rfc3986-validator

0.1.1

rich

13.9.4

rich-toolkit

0.17.1

rignore

0.7.6

rope

1.13.0

rpds-py

0.22.3

rsa

4.9.1

s3transfer

0.14.0

safetensors

0.7.0

scikit-learn

1.6.1

scipy

1.15.3

seaborn

0.13.2

Send2Trash

1.8.2

sentence-transformers

5.1.2

sentencepiece

0.2.1

sentry-sdk

2.49.0

setproctitle

1.3.7

setuptools

78.1.1

shap

0.49.1

shellingham

1.5.4

six

1.17.0

slicer

0.0.8

smart_open

7.5.0

smmap

5.0.0

sniffio

1.3.0

sortedcontainers

2.4.0

soundfile

0.13.1

soupsieve

2.5

soxr

1.0.0

SQLAlchemy

2.0.39

sqlparse

0.5.5

sse-starlette

3.1.2

ssh-import-id

5.11

stack-data

0.6.3

starlette

0.50.0

statsmodels

0.14.4

strictyaml

1.7.3

supervisor

4.3.0

sympy

1.13.3

tabulate

0.9.0

tenacity

9.0.0

tensorboardX

2.6.4

terminado

0.17.1

threadpoolctl

3.5.0

tiktoken

0.9.0

tinycss2

1.4.0

tokenize_rt

6.1.0

tokenizers

0.22.1

tomli

2.0.1

torch

2.9.0+cu129

torch-optimizer

0.3.0

torchao

0.15.0

torchaudio

2.9.0

torchmetrics

1.8.2

torchvision

0.24.0+cu129

tornado

6.5.1

tqdm

4.67.1

traitlets

5.14.3

transformers

4.57.1

triton

3.5.0

trl

0.23.0

typeguard

4.4.4

typer

0.21.1

typer-slim

0.21.1

types-python-dateutil

2.9.0.20251115

typing_extensions

4.14.1

typing-inspect

0.9.0

typing-inspection

0.4.2

tyro

1.0.4

tzdata

2024.1

ujson

5.10.0

umap-learn

0.5.9.post2

unattended-upgrades

0.1

unsloth

2025.11.3

unsloth_zoo

2026.1.2

uri-template

1.3.0

urllib3

2.3.0

uuid_utils

0.12.0

uvicorn

0.40.0

uvloop

0.22.1

virtualenv

20.29.3

vllm

0.13.0

wadllib

1.3.6

watchfiles

1.1.1

wcwidth

0.2.5

webcolors

25.10.0

webencodings

0.5.1

websocket-client

1.8.0

websockets

16.0

whatthepatch

1.0.2

wheel

0.45.1

whenever

0.7.3

widgetsnbextension

3.6.6

wrapt

1.17.0

xformers

0.0.33.post1

xgboost

3.0.4

xgboost-ray

0.1.19

xgrammar

0.1.27

xxhash

3.5.0

yapf

0.40.2

yarl

1.18.0

zipp

3.21.0

zstandard

0.23.0

zstd

1.5.5.1

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