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-2.2.0b20250210-py3-none-win_amd64.whl (4.5 MB view details)

Uploaded Python 3Windows x86-64

ipex_llm-2.2.0b20250210-py3-none-manylinux2010_x86_64.whl (9.7 MB view details)

Uploaded Python 3manylinux: glibc 2.12+ x86-64

File details

Details for the file ipex_llm-2.2.0b20250210-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.2.0b20250210-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 55a2cad62ff35b6ca668ec69ecaa27df1be82f7ea86d6aa539f8aa7864dfb0d9
MD5 042ac2e916908adfa981460ce57acc2d
BLAKE2b-256 82acf02982d65514924d856345c753d685baf1248c0bd73ace56b8d872d173b1

See more details on using hashes here.

File details

Details for the file ipex_llm-2.2.0b20250210-py3-none-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.2.0b20250210-py3-none-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 5fc0af486db9e1d25c6e458025a3caf7274550bd836fd77384e5c29f2ff10b6b
MD5 62c545fce988a3dc1b862f6d6f2bec87
BLAKE2b-256 c53fb51780561fdc706e690c128cebbeeb09b8cb7845e4db4931c9789bcfa68a

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