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-2.3.0b20250709-py3-none-win_amd64.whl (4.6 MB view details)

Uploaded Python 3Windows x86-64

ipex_llm-2.3.0b20250709-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-2.3.0b20250709-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.3.0b20250709-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 23fb08d255d718fae12e92b477ee133f8019b7b0a7fe3d0cbbb7a19176132bc7
MD5 c6dfc430741764d727db52630a258065
BLAKE2b-256 9aee601d3e42398429ac6c366c550f817e12f9018efe7ffff2bf4d0c99f99bab

See more details on using hashes here.

File details

Details for the file ipex_llm-2.3.0b20250709-py3-none-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.3.0b20250709-py3-none-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 cd6ffd2f77a08d2e96bed043524e82e86c8d66bbcf4f1d120a4f9fbad86ffad2
MD5 dbfeb97da74a29897a4b8ccdcb98fa18
BLAKE2b-256 fe5f50494439b04bea08b0448c74631c470a78ed199d94a2d006c110093f9cbc

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