A minimal, high-performance large language model (LLM) inference engine implementing vLLM in Rust.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for guoqingbao from gravatar.com guoqingbao

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT
  • Tags llm , inference , candle , qwen , moe , rust , vllm
Report project as malware

Project description

The author of this package has not provided a project description

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for guoqingbao from gravatar.com guoqingbao

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT
  • Tags llm , inference , candle , qwen , moe , rust , vllm

Release history Release notifications | RSS feed

0.11.5

0.11.4

0.11.3

This version

0.11.1

0.11.0

0.10.10

0.10.9

0.10.8

0.10.6

0.10.5

0.10.4

0.10.3

0.9.16

0.9.14

0.9.12

0.9.9

0.9.8

0.9.7

0.9.4

0.9.3

0.9.2

0.8.12

0.8.11

0.8.10

0.8.9

0.8.7

0.8.6

0.8.5

0.8.4

0.8.3

0.8.2

0.8.1

0.8.0

0.7.16

0.7.14

0.7.13

0.7.12

0.7.11

0.7.10

0.7.9

0.7.8

0.7.5

0.7.2

0.7.1

0.6.18

0.6.17

0.6.15

0.6.14

0.6.13

0.6.12

0.6.11

0.6.10

0.6.9

0.6.8

0.6.7

0.6.5

0.6.3

0.6.2

0.6.1

0.6.0

0.5.23

0.5.22

0.5.21

0.5.19

0.5.15

0.5.13

0.5.12

0.5.11

0.5.10

0.5.9

0.5.8

0.5.7

0.5.6

0.5.5

0.5.3

0.5.2

0.5.1

0.5.0

0.4.18

0.4.17

0.4.16

0.4.15

0.4.14

0.4.13

0.4.12

0.4.11

0.4.10

0.4.9

0.4.8

0.4.7

0.4.5

0.4.4

0.4.3

0.4.2

0.4.1

0.4.0

0.3.19

0.3.16

0.3.15

0.3.13

0.3.10

0.3.9

0.3.8

0.3.6

0.3.2

0.3.1

0.2.19

0.2.18

0.2.17

0.2.8

0.2.7

0.2.1

0.2.0

0.1.26

0.1.15

0.1.14

0.1.13

0.1.12

0.1.11

0.1.10

0.1.9

0.1.8

0.1.6

0.1.4

0.1.3

0.1.2

0.1.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

vllm_rs-0.11.1-cp38-abi3-manylinux_2_39_x86_64.whl (50.0 MB view details)

Uploaded CPython 3.8+manylinux: glibc 2.39+ x86-64

File details

Details for the file vllm_rs-0.11.1-cp38-abi3-manylinux_2_39_x86_64.whl.

File metadata

File hashes

Hashes for vllm_rs-0.11.1-cp38-abi3-manylinux_2_39_x86_64.whl
Algorithm Hash digest
SHA256 6955932b722f927d85a365429a05281cc7a2025d5314d03471ef10d5ccec4a16
MD5 7901f121c7e505743359e95afa6cf811
BLAKE2b-256 6625bc1b2f28ab7ed5eb4f8cbc118708f5d622d2ce403e488f0b18d87d839f06

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page