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-2.3.0b20250417-py3-none-win_amd64.whl (4.6 MB view details)

Uploaded Python 3Windows x86-64

ipex_llm-2.3.0b20250417-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-2.3.0b20250417-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.3.0b20250417-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 8ef6e48eaae3d327a546277d7c818e48f4d92a080817f2fa858c31faf954571a
MD5 4961bd5c610716843e368fb3e3ea068b
BLAKE2b-256 27460683133284e354fbe25ee875c91e1d5c230dcad0a7f271c29f0383a83e2e

See more details on using hashes here.

File details

Details for the file ipex_llm-2.3.0b20250417-py3-none-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.3.0b20250417-py3-none-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 fa2483e562ddbfab4fb8e22978b8402d5962f9624cdcc93d070bb17072c773e6
MD5 f32f27f43583011caed91d107037354d
BLAKE2b-256 db9d66b2bb8670f5b0fc7b55b116d682fb9033722370c2e16bb13b793f733f7b

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