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-2.2.0b20241218-py3-none-win_amd64.whl (4.5 MB view details)

Uploaded Python 3Windows x86-64

ipex_llm-2.2.0b20241218-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-2.2.0b20241218-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.2.0b20241218-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 f3e0372a91842c03fe406289e736bce35ead6219adcc075f115d4408f052b76d
MD5 712cb1b7025cbf8e07be95cf25b047c1
BLAKE2b-256 019a6f64899158f80eab49bf875abf4476acf4a61aed149f031b4665138a1cd7

See more details on using hashes here.

File details

Details for the file ipex_llm-2.2.0b20241218-py3-none-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.2.0b20241218-py3-none-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 a7c2e967a46c1f2dc8568e10e48b14dbc900ddca664af6706998346d19ff0634
MD5 dfcbc965f8e5ddde2321c45dafea1b16
BLAKE2b-256 00da2a7695e319ac5620fd455df528df496d89e857c3742d57be5510ed548fa0

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