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-2.3.0b20250630-py3-none-win_amd64.whl (4.6 MB view details)

Uploaded Python 3Windows x86-64

ipex_llm-2.3.0b20250630-py3-none-manylinux2010_x86_64.whl (9.8 MB view details)

Uploaded Python 3manylinux: glibc 2.12+ x86-64

File details

Details for the file ipex_llm-2.3.0b20250630-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.3.0b20250630-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 7ca50db0c24f1f4d5406ee1096debf97034d2058d896059958e33533efd5860f
MD5 997b9d5691174ce819940e175ba878cf
BLAKE2b-256 7ca874b2f7bd8f437c1d1ae2da9a5c76a8fd9c757077b96aeedcc1814d0e910c

See more details on using hashes here.

File details

Details for the file ipex_llm-2.3.0b20250630-py3-none-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.3.0b20250630-py3-none-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 f68928e7dd92e3953894db0ab2f02c4f2f4b7175477bc4e07a451f5503154cf1
MD5 cba6c139327d2df08d3a583aaeb74dc0
BLAKE2b-256 f92e61dca93dbad70946fb3486aac2f1baebd81db102c40ee9ae32ed5b3a8f02

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