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-1.7.1-cp312-cp312-manylinux_2_34_x86_64.whl (19.9 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.34+ x86-64

File details

Details for the file lk_moe-1.7.1-cp312-cp312-manylinux_2_34_x86_64.whl.

File metadata

File hashes

Hashes for lk_moe-1.7.1-cp312-cp312-manylinux_2_34_x86_64.whl
Algorithm Hash digest
SHA256 3a33fd7aaa79bd6f9899b231126a70cbd445086fa9b09ea29d48be5e8f2b2144
MD5 0c721003ce390add975fde1f6fd9d18d
BLAKE2b-256 fd749f61408952f4825b4668809f6f24bd897af0541d703ae8c15e63998f67b5

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