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-1.8.3-cp312-cp312-manylinux_2_34_x86_64.whl (18.1 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.34+ x86-64

File details

Details for the file lk_moe-1.8.3-cp312-cp312-manylinux_2_34_x86_64.whl.

File metadata

File hashes

Hashes for lk_moe-1.8.3-cp312-cp312-manylinux_2_34_x86_64.whl
Algorithm Hash digest
SHA256 93d9cf43157bd9698509f0d54c9cf4f24769d867b09fde7f41a76b6449accd49
MD5 0021f0cedaaa2076240a130d475687d3
BLAKE2b-256 72f91c52cbcd38f222f7748a7c433a300d6f8e5b9ffe91864e5daace7ed64d0c

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