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-2.3.0b20250608-py3-none-win_amd64.whl (4.6 MB view details)

Uploaded Python 3Windows x86-64

ipex_llm-2.3.0b20250608-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-2.3.0b20250608-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.3.0b20250608-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 99002fcf4f2f2d4c57e8d51f5db54364236eb167fac5ff462ce13820961cbc93
MD5 9a6823b7c0e6534ba41fb3571bdc0cc1
BLAKE2b-256 ea2cd15a6962b8eebb65704e9131d89eac81d2f32c1e12040bcaf24225488e9a

See more details on using hashes here.

File details

Details for the file ipex_llm-2.3.0b20250608-py3-none-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.3.0b20250608-py3-none-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 ee4d6814e0f915ebc52036e25c293be00469af42516774494a3a93b6e549bded
MD5 4a5a4a44eff0df1d542069f181e31764
BLAKE2b-256 09a17c5e807de22df2b517ac38500faa335f34a9fc24b7abadccb31217f7e8b7

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