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-2.2.0b20250216-py3-none-win_amd64.whl (4.6 MB view details)

Uploaded Python 3Windows x86-64

ipex_llm-2.2.0b20250216-py3-none-manylinux2010_x86_64.whl (9.7 MB view details)

Uploaded Python 3manylinux: glibc 2.12+ x86-64

File details

Details for the file ipex_llm-2.2.0b20250216-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.2.0b20250216-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 7b0a011b26c841f2f106bc91348f8314afcc830658f8b6a7538a458703b4ed7f
MD5 ca9d98f4c30f7bfb0cfc21971c3b2f7f
BLAKE2b-256 591a6840adca6defe4d9db7949db9fc951c3b43178c83cb02e035c3334912429

See more details on using hashes here.

File details

Details for the file ipex_llm-2.2.0b20250216-py3-none-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.2.0b20250216-py3-none-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 a9c88e5a3beb3ba66e2ce447e4667ee09ba5f05227c492768c43232f397dbb4d
MD5 048e4726d7e9e33f3aad2291b6ed03d4
BLAKE2b-256 f91637fcf8a340aa908df96f40c237b9b59119ce7407219c0c4d371ba5a9a739

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