Skip to main content

Large Language Model Develop Toolkit

Project description

IPEX-LLM is a PyTorch library for running LLM on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max) with very low latency

Project details


Release history Release notifications | RSS feed

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 Distributions

If you're not sure about the file name format, learn more about wheel file names.

ipex_llm-2.2.0b20240915-py3-none-win_amd64.whl (4.2 MB view details)

Uploaded Python 3Windows x86-64

ipex_llm-2.2.0b20240915-py3-none-manylinux2010_x86_64.whl (9.2 MB view details)

Uploaded Python 3manylinux: glibc 2.12+ x86-64

File details

Details for the file ipex_llm-2.2.0b20240915-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.2.0b20240915-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 905f48978851cc0e34b07a80f23497ccbd0ca222a30536c9972ca44f44c9d968
MD5 09b7b452c3d21f9b88d6d318cf1d623f
BLAKE2b-256 35785d62fe9d5b6b5612b6b25d7db7df314022ec3540f692095633b27c233009

See more details on using hashes here.

File details

Details for the file ipex_llm-2.2.0b20240915-py3-none-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.2.0b20240915-py3-none-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 098e45e271785a639728dbf1d06f8df5f96531b5d9b3b045aab1d7bb83aaf286
MD5 07996845a95db1b7245579b8a490a1ae
BLAKE2b-256 c20e9dd01f90d0694cc353dd2cb2eb23dbb46a154f82a070d780867ef2404c2c

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