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-2.3.0b20251012-py3-none-win_amd64.whl (4.6 MB view details)

Uploaded Python 3Windows x86-64

ipex_llm-2.3.0b20251012-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-2.3.0b20251012-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.3.0b20251012-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 c2a8ed0082d41b371c1b685273ccad0cd34086c99d2540dcdf5df252e545b081
MD5 316faf2b6be66bbe90d7a9f9f051ebff
BLAKE2b-256 29afb25b9ddf9570a692719d965b0d88658ff5e26d955380398b3b783eb28ce1

See more details on using hashes here.

File details

Details for the file ipex_llm-2.3.0b20251012-py3-none-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.3.0b20251012-py3-none-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 45310f6bea824a9e31f27dfdd9c77f25fd97d5ed1838076baf0e9d44604b326b
MD5 9f89557176f14cc45a4429c865d698af
BLAKE2b-256 f3874a8ee903c41acc29f3f099380f4f3117cb2cbbe064bb0e4e731611de4799

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