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-2.2.0b20241122-py3-none-win_amd64.whl (4.4 MB view details)

Uploaded Python 3Windows x86-64

ipex_llm-2.2.0b20241122-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-2.2.0b20241122-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.2.0b20241122-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 5a129798e8afac9857950bec670c6ec343eba2d42b03d6ba603e9a13344584c8
MD5 c945c7ba53efd73eaf31e6977f68534c
BLAKE2b-256 68d7132fefca7e617a99cd4982a895821a19d200129fd2ffd2a8215a72611c7d

See more details on using hashes here.

File details

Details for the file ipex_llm-2.2.0b20241122-py3-none-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.2.0b20241122-py3-none-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 b912a7c8c6caed9144ab5ac2236a2a90770aaff5208f799de7b052bf73f94e51
MD5 dc74bd089adc23c4a112dd3e108185e7
BLAKE2b-256 25c46eb1694801047b40dd00576bd1206adcfc2cce12348968fdc945ef4cfb6e

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