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-2.2.0b20241001-py3-none-win_amd64.whl (4.2 MB view details)

Uploaded Python 3Windows x86-64

ipex_llm-2.2.0b20241001-py3-none-manylinux2010_x86_64.whl (9.3 MB view details)

Uploaded Python 3manylinux: glibc 2.12+ x86-64

File details

Details for the file ipex_llm-2.2.0b20241001-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.2.0b20241001-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 badd54f51f70a59b70866cacb4991026ed2a6af440d0d5705bb83686792c6941
MD5 2fdd110877b961a1f4dc89873bf95351
BLAKE2b-256 373b4b67ae1b4b105c36444b7453316f33a57afe3c9630ecd724b7544054505e

See more details on using hashes here.

File details

Details for the file ipex_llm-2.2.0b20241001-py3-none-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.2.0b20241001-py3-none-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 c3e52b37cc42a28d3d5638e1766227f23124a9ccfa52048290cc31373e44a78e
MD5 c98d67a247300c44c53a83de9c0bb02f
BLAKE2b-256 a23b31017e28e8b019f86cc703da36d50a004cded6828477f850ac4354d75a1e

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