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-2.3.0b20250814-py3-none-win_amd64.whl (4.6 MB view details)

Uploaded Python 3Windows x86-64

ipex_llm-2.3.0b20250814-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-2.3.0b20250814-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.3.0b20250814-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 1593d98f4982b5d1fb34737b3ad41d8584b418f959b412ac95ecb043a91cc1ed
MD5 4cd95c17a181b75728dda6cc666bf52b
BLAKE2b-256 8b64a2939098f4e8b68ae76b72b046774b43a353d35af09d1f66228c000f53b1

See more details on using hashes here.

File details

Details for the file ipex_llm-2.3.0b20250814-py3-none-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.3.0b20250814-py3-none-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 ef173d3dd0dde57ebf463541718e619572e1ef03fddf50a61dd4ea1c1616d100
MD5 024e196a5660cb19343639aa9d9538de
BLAKE2b-256 cdaf3a0f6301d03e171109a30dd6ff7ccecec1a14612f2a1eeaeac633360bfa7

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