vllm@0.20.0

A high-throughput and memory-efficient inference and serving engine for LLMs

2026-04-27 Python <3.15,>=3.10 wheel sdist

安装 (0.20.0)

pip install vllm==0.20.0

poetry add vllm==0.20.0

pipenv install vllm==0.20.0

conda install vllm=0.20.0

依赖 (92)

依赖
`regex`
`cachetools`
`psutil`
`sentencepiece`
`numpy`
`requests>=2.26.0`
`tqdm`
`blake3`
`py-cpuinfo`
`transformers!=5.0.,!=5.1.,!=5.2.,!=5.3.,!=5.4.*,!=5.5.0,>=4.56.0`
`tokenizers>=0.21.1`
`safetensors>=0.6.2`
`protobuf!=6.30.,!=6.31.,!=6.32.,!=6.33.0.,!=6.33.1.,!=6.33.2.,!=6.33.3.,!=6.33.4.,>=5.29.6`
`fastapi[standard]>=0.115.0`
`aiohttp>=3.13.3`
`openai>=2.0.0`
`pydantic>=2.12.0`
`prometheus_client>=0.18.0`
`pillow`
`prometheus-fastapi-instrumentator>=7.0.0`
`tiktoken>=0.6.0`
`lm-format-enforcer==0.11.3`
`llguidance<1.8.0,>=1.7.0; platform_machine == "x86_64" or platform_machine == "arm64" or platform_machine == "aarch64" or platform_machine == "ppc64le"`
`outlines_core==0.2.14`
`diskcache==5.6.3`
`lark==1.2.2`
`xgrammar<1.0.0,>=0.2.0; platform_machine == "x86_64" or platform_machine == "aarch64" or platform_machine == "arm64" or platform_machine == "s390x" or platform_machine == "ppc64le"`
`typing_extensions>=4.10`
`filelock>=3.16.1`
`partial-json-parser`
`pyzmq>=25.0.0`
`msgspec`
`gguf>=0.17.0`
`mistral_common[image]>=1.11.3`
`opencv-python-headless>=4.13.0`
`pyyaml`
`six>=1.16.0; python_version > "3.11"`
`setuptools<81.0.0,>=77.0.3; python_version > "3.11"`
`einops`
`compressed-tensors==0.17.0`
`depyf==0.20.0`
`cloudpickle`
`watchfiles`
`python-json-logger`
`ninja`
`pybase64`
`cbor2`
`ijson`
`setproctitle`
`openai-harmony>=0.0.3`
`anthropic>=0.71.0`
`model-hosting-container-standards<1.0.0,>=0.1.14`
`mcp`
`opentelemetry-sdk>=1.27.0`
`opentelemetry-api>=1.27.0`
`opentelemetry-exporter-otlp>=1.27.0`
`opentelemetry-semantic-conventions-ai>=0.4.1`
`numba==0.65.0`
`torch==2.11.0`
`torchaudio==2.11.0`
`torchvision==0.26.0`
`flashinfer-python==0.6.12`
`flashinfer-cubin==0.6.12`
`apache-tvm-ffi==0.1.9`
`tilelang==0.1.9`
`nvidia-cudnn-frontend>=1.19.1`
`fastsafetensors>=0.3.2`
`nvidia-cutlass-dsl[cu13]==4.5.2`
`quack-kernels>=0.3.3`
`tokenspeed-mla==0.1.2`
`humming-kernels[cu13]==0.1.4`
`zentorch==2.11.0.0; extra == "zen"`
`pandas; extra == "bench"`
`matplotlib; extra == "bench"`
`seaborn; extra == "bench"`
`datasets; extra == "bench"`
`scipy; extra == "bench"`
`plotly; extra == "bench"`
`tensorizer==2.10.1; extra == "tensorizer"`
`fastsafetensors>=0.3.2; extra == "fastsafetensors"`
`instanttensor>=0.1.5; extra == "instanttensor"`
`runai-model-streamer[azure,gcs,s3]>=0.15.7; extra == "runai"`
`av; extra == "audio"`
`scipy; extra == "audio"`
`soundfile; extra == "audio"`
`mistral_common[audio]; extra == "audio"`
`helion==1.0.0; extra == "helion"`
`smg-grpc-servicer[vllm]>=0.5.2; extra == "grpc"`
`opentelemetry-sdk>=1.26.0; extra == "otel"`
`opentelemetry-api>=1.26.0; extra == "otel"`
`opentelemetry-exporter-otlp>=1.26.0; extra == "otel"`
`opentelemetry-semantic-conventions-ai>=0.4.1; extra == "otel"`

下载文件

文件名	类型	Python 版本	大小
vllm-0.20.0-cp38-abi3-manylinux_2_35_aarch64.whl	bdist_wheel	`cp38`	235776358 bytes
vllm-0.20.0-cp38-abi3-manylinux_2_35_x86_64.whl	bdist_wheel	`cp38`	244415937 bytes
vllm-0.20.0.tar.gz	sdist	`source`	33508260 bytes

版本列表

0.23.0 2026-06-15

0.22.1 2026-06-05

0.22.0 2026-05-29

0.21.0 2026-05-15

0.20.2 2026-05-10

0.20.1 2026-05-04

0.20.0 2026-04-27

0.19.1 2026-04-18

0.19.0 2026-04-03

0.18.1 2026-03-31

0.18.0 2026-03-20

0.17.1 2026-03-11

0.17.0 2026-03-07

0.16.0 2026-02-26

0.15.1 2026-02-05

0.15.0 2026-01-29

0.14.1 2026-01-24

0.14.0 2026-01-20

0.13.0 2025-12-19

0.12.0 2025-12-03

0.11.2 2025-11-20

0.11.1 2025-11-19

0.11.0 2025-10-04

0.10.2 2025-09-13

0.10.1.1 2025-08-20

0.10.1 2025-08-19

0.10.0 2025-07-25

0.9.2 2025-07-08

0.9.1 2025-06-10

0.9.0.1 2025-05-30

0.9.0 2025-05-28

0.8.5 2025-04-28

0.8.5.post1 2025-05-02

0.8.4 2025-04-15

0.8.3 2025-04-06

0.8.2 2025-03-25

0.8.1 2025-03-19

0.8.0 2025-03-18

0.7.3 2025-02-20

0.7.2 2025-02-06

0.7.1 2025-02-01

0.7.0 2025-01-27

0.6.6 2024-12-27

0.6.6.post1 2024-12-27

0.6.5 2024-12-18

0.6.4 2024-11-15

0.6.4.post1 2024-11-15

0.6.3 2024-10-14

0.6.3.post1 2024-10-17

0.6.2 2024-09-25

0.6.1 2024-09-11

0.6.1.post2 2024-09-13

0.6.1.post1 2024-09-13

0.6.0 2024-09-05

0.5.5 2024-08-23

0.5.4 2024-08-05

0.5.3 2024-07-23

0.5.3.post1 2024-07-23

0.5.2 2024-07-15

0.5.1 2024-07-06

0.5.0 2024-06-11

0.5.0.post1 2024-06-14

0.4.3 2024-06-01

0.4.2 2024-05-05

0.4.1 2024-04-24

0.4.0 2024-03-31

0.4.0.post1 2024-04-03

0.3.3 2024-03-01

0.3.2 2024-02-21

0.3.1 2024-02-17

0.3.0 2024-01-31

0.2.7 2024-01-04

0.2.6 2023-12-17

0.2.5 2023-12-14

0.2.4 2023-12-11

0.2.3 2023-12-03

0.2.2 2023-11-19

0.2.1 2023-10-16

0.2.1.post1 2023-10-17

0.2.0 2023-09-28

0.1.7 2023-09-11

0.1.6 2023-09-08

0.1.5 2023-09-08

0.1.4 2023-08-25

0.1.3 2023-08-02

0.1.2 2023-07-05

0.1.1 2023-06-22

0.1.0 2023-06-20

0.0.1 2023-06-19

vllm@0.20.0

安装 (0.20.0)

依赖 (92)

下载文件

版本列表

相关教程