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-2.2.0b20241219-py3-none-win_amd64.whl (4.5 MB view details)

Uploaded Python 3Windows x86-64

ipex_llm-2.2.0b20241219-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-2.2.0b20241219-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.2.0b20241219-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 dafe67e0fe51d8fe273ff2f636f7b92ff9ec037758bf8cd6a828ae294330c61b
MD5 8e865a78e95b051ab285fbc76d90c2c6
BLAKE2b-256 fbf4c4a46e3e073b32796f1d1c5d99c4f24fa8562fa8df7b52c746c679846975

See more details on using hashes here.

File details

Details for the file ipex_llm-2.2.0b20241219-py3-none-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.2.0b20241219-py3-none-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 cdadf2327821f70e7578094b7bdec829105d5cc909f68f255a2414b43dc6aa46
MD5 c43ae7aad5d838c32bb5279351097fe4
BLAKE2b-256 6e9679cacfe4c8a3455c4fca50b6ee07828824f9be06a885c6e9fd8197b3476f

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