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-2.2.0b20250113-py3-none-win_amd64.whl (4.5 MB view details)

Uploaded Python 3Windows x86-64

ipex_llm-2.2.0b20250113-py3-none-manylinux2010_x86_64.whl (9.6 MB view details)

Uploaded Python 3manylinux: glibc 2.12+ x86-64

File details

Details for the file ipex_llm-2.2.0b20250113-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.2.0b20250113-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 545b7dd294ee313fc9737fb1ba76a41725cbef5479b745e20a6a8ce276c3bf84
MD5 e30fe45e15365b6fb1ae7659b8a08c98
BLAKE2b-256 900be14451b2a67581e47e3d0bd600d47755250fdd977a39bd37dff47a40a5e9

See more details on using hashes here.

File details

Details for the file ipex_llm-2.2.0b20250113-py3-none-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.2.0b20250113-py3-none-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 67a6140a69ba8d234f1c30c5772148387179d93ae543eb20e1a2e00eaa208048
MD5 3a92b7b8736115a8c897931dbd00c9e3
BLAKE2b-256 60bcb595974f8b039e79952a6a76ec1986ec0b45aecf9ed9e8ba2faf54eab2d3

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