Skip to main content

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.

Project description

The author of this package has not provided a project description

Project details


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-1.4.1-cp312-cp312-manylinux_2_34_x86_64.whl (19.0 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.34+ x86-64

File details

Details for the file lk_moe-1.4.1-cp312-cp312-manylinux_2_34_x86_64.whl.

File metadata

File hashes

Hashes for lk_moe-1.4.1-cp312-cp312-manylinux_2_34_x86_64.whl
Algorithm Hash digest
SHA256 7802cf18c7251a17e43cde9fb0a03bd7846256b1189d40a03ef8ac15f92a2897
MD5 d304311e1bfaa38d5f30664e893aab81
BLAKE2b-256 73ddcfc7c4a2e413345346a4627f46a3829ced340e0dd179bebedb4023bfe25b

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