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-2.1.0b20240806-py3-none-win_amd64.whl (4.1 MB view details)

Uploaded Python 3Windows x86-64

ipex_llm-2.1.0b20240806-py3-none-manylinux2010_x86_64.whl (9.2 MB view details)

Uploaded Python 3manylinux: glibc 2.12+ x86-64

File details

Details for the file ipex_llm-2.1.0b20240806-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.1.0b20240806-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 149e5485747b94a70488c35fc49171608c5dbbc1663ddc9d7f33ee206be6b9f4
MD5 b8e27be35803c64961d1de5345fe9a3e
BLAKE2b-256 60dca70f1a646ae4be4dead6d4b9fb96dff4b39e2f48feabcb58de8cb807e300

See more details on using hashes here.

File details

Details for the file ipex_llm-2.1.0b20240806-py3-none-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.1.0b20240806-py3-none-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 dd7353f1107ae4a5a121d0ed43501c4d69e0d0d30c400f02051ed6106921e3b7
MD5 ecec8a487bb0423cd86090238a9fdbc3
BLAKE2b-256 a35692ce94823a009a6911ee9ea6a5e9069dd75f5c3f9436af2d7cbc04c83a12

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