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-2.1.0b20240527-py3-none-win_amd64.whl (5.4 MB view details)

Uploaded Python 3Windows x86-64

ipex_llm-2.1.0b20240527-py3-none-manylinux2010_x86_64.whl (13.9 MB view details)

Uploaded Python 3manylinux: glibc 2.12+ x86-64

File details

Details for the file ipex_llm-2.1.0b20240527-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.1.0b20240527-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 61ac743aa59c5a1c6851cfdafa8a8a1044aa6d88048130c7bc50f3b27aa48797
MD5 83ce3c52a3ab54c1cc1808dc715d7ac1
BLAKE2b-256 c93ad8b5b13183d0e8ad0c0fdbb5052475214333e63e420b070f9a37a4e8c05d

See more details on using hashes here.

File details

Details for the file ipex_llm-2.1.0b20240527-py3-none-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.1.0b20240527-py3-none-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 d23f9bcff62ed3810c572f679e5f80579cbad6bb11589cec800fc766349428a2
MD5 f86434af061f278e9bd47b865c1ae3d2
BLAKE2b-256 5db132ce5a89593cd6fa6d869d6ab649d0d41bb4457cebde9aee6cabd8785648

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