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-1.7.6-cp312-cp312-manylinux_2_34_x86_64.whl (19.2 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.34+ x86-64

File details

Details for the file lk_moe-1.7.6-cp312-cp312-manylinux_2_34_x86_64.whl.

File metadata

File hashes

Hashes for lk_moe-1.7.6-cp312-cp312-manylinux_2_34_x86_64.whl
Algorithm Hash digest
SHA256 97165adedea1dce95579a12c4031a0ebb9d50e1b7e3c57575eb0a63f591357f0
MD5 98ee95d0d6c2e25a755f97191f644fd9
BLAKE2b-256 e5afad16c81487d721872abc9e7e2cbcd9aed7c86370ee25972455902d76ced0

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