lk_moe is a special NUMA extension of vllm that makes full use of CPU and memory resources, reduces GPU memory requirements, and features an efficient GPU parallel and NUMA parallel architecture, supporting hybrid inference for MOE large models.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for guqiong96 from gravatar.com guqiong96

Unverified details

These details have not been verified by PyPI
Meta
  • Requires: Python <3.14, >=3.10
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 guqiong96 from gravatar.com guqiong96

Unverified details

These details have not been verified by PyPI
Meta
  • Requires: Python <3.14, >=3.10

Release history Release notifications | RSS feed

2.3.2

2.3.1

2.3.0

2.2.2

2.2.1

2.2.0

2.1.2

2.1.1

This version

2.1.0

2.0.2

2.0.1

2.0.0

1.8.4

1.8.3

1.8.2

1.8.1

1.8.0

1.7.6

1.7.5

1.7.4

1.7.3

1.7.2

1.7.1

1.7.0

1.6.7

1.6.6

1.6.5

1.6.4

1.6.3

1.6.2

1.6.1

1.5.8

1.5.7

1.5.6

1.5.5

1.5.4

1.5.3

1.5.1

1.4.2

1.4.1

1.4.0

1.3.5

1.3.4

1.3.3

1.3.2

1.3.1

1.3.0

1.2.7

1.2.6

1.2.2

1.2.1

1.1.2

1.1.1

1.1.0

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.

lk_moe-2.1.0-cp312-cp312-manylinux_2_34_x86_64.whl (7.0 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.34+ x86-64

File details

Details for the file lk_moe-2.1.0-cp312-cp312-manylinux_2_34_x86_64.whl.

File metadata

File hashes

Hashes for lk_moe-2.1.0-cp312-cp312-manylinux_2_34_x86_64.whl
Algorithm Hash digest
SHA256 ab6b9283f32281ad2bae2ac37d18c832ad6a81d03a9a1a3de3bfd47ff2886b80
MD5 8a785f261ed7688e1fbc58333b14e4a4
BLAKE2b-256 7af2b6fed9c926467cae2ffa00e985a1295efc8b0634f2aec91c610e9d1faa5f

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