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-1.3.5-cp312-cp312-manylinux_2_34_x86_64.whl (18.7 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.34+ x86-64

File details

Details for the file lk_moe-1.3.5-cp312-cp312-manylinux_2_34_x86_64.whl.

File metadata

File hashes

Hashes for lk_moe-1.3.5-cp312-cp312-manylinux_2_34_x86_64.whl
Algorithm Hash digest
SHA256 6c02643343364474c023cb90947529ef5ed6c811c1eae2c5a20b7711b85175d5
MD5 cf4f7b1e62148cad9690c79de4878ea6
BLAKE2b-256 33129800a40bd53429224aa49d5eadb45435c650668cda2aed31fc1d37d6d6bf

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