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-2.2.0b20241127-py3-none-win_amd64.whl (4.4 MB view details)

Uploaded Python 3Windows x86-64

ipex_llm-2.2.0b20241127-py3-none-manylinux2010_x86_64.whl (9.4 MB view details)

Uploaded Python 3manylinux: glibc 2.12+ x86-64

File details

Details for the file ipex_llm-2.2.0b20241127-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.2.0b20241127-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 ffd6bc337bcc1c7e2c602d7ab37a07fcd64d84307cf7a48438fb9e129d3455b0
MD5 351fb5de24ce98cbff68d4dce8a3fb92
BLAKE2b-256 118238c4c03f1fadc45ab9100d3efccef525e01ad6406bc9971dbc034e5996c4

See more details on using hashes here.

File details

Details for the file ipex_llm-2.2.0b20241127-py3-none-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.2.0b20241127-py3-none-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 abc62546a5640101ed45b2f708001f6c910f77540c3163fca32794fa2f6e5b0d
MD5 59455113a6167717eba3f59770ed183c
BLAKE2b-256 c083e28cdfc9eb3d4144f13ec98c03dd487fd68ba2e4ac80c133ebd11d714540

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