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-2.2.0b20241112-py3-none-win_amd64.whl (4.4 MB view details)

Uploaded Python 3Windows x86-64

ipex_llm-2.2.0b20241112-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-2.2.0b20241112-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.2.0b20241112-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 0cd18d351ad143ce588590a714fec8b9193274715c1caf04c0ed4b48fd17212c
MD5 4ea0878224b9844d32a85f5b822d0125
BLAKE2b-256 e49bb5ad47df78270d7b024184c5ded97a186cc1c1f8ae25ff3ff2b90386ba36

See more details on using hashes here.

File details

Details for the file ipex_llm-2.2.0b20241112-py3-none-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.2.0b20241112-py3-none-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 23db4e6ba6fb72bfff67e5e2218cd4bc1f12d7057eb36f508ea54963096e4477
MD5 109ac273d60be71af63976f39193f796
BLAKE2b-256 88a1e162c0a17ce39c9861084ff81b50ef208ccbef5b0520c0b136077788bedc

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