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-2.2.0b20241215-py3-none-win_amd64.whl (4.5 MB view details)

Uploaded Python 3Windows x86-64

ipex_llm-2.2.0b20241215-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-2.2.0b20241215-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.2.0b20241215-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 64b01acd30243e7be39de99fbf258310f45cf83e93e31165bd75877aa3afe030
MD5 e99258f01f47d74dc01808e937d2e601
BLAKE2b-256 181e75e19611025b309b9a9f62363c7dd0b43434ba1b2f95789627e704b0b082

See more details on using hashes here.

File details

Details for the file ipex_llm-2.2.0b20241215-py3-none-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.2.0b20241215-py3-none-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 b65e6763bb6ab3f3577a43cbc945f1dee9b79a45b59f4991f489100fec207d27
MD5 a970f797d5a8300342ebefe9012f7aba
BLAKE2b-256 22b2979540cde5fc7443114621d0521903570fba67315a2ee972060f6bb067bb

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