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-2.2.0b20241220-py3-none-win_amd64.whl (4.5 MB view details)

Uploaded Python 3Windows x86-64

ipex_llm-2.2.0b20241220-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-2.2.0b20241220-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.2.0b20241220-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 0063399c9b1e1a4df36f65b2e2be14a9eb0f0f8616e2374d623ac1509b6d9b31
MD5 fb34cee3c70b2a592b4f037d54293130
BLAKE2b-256 c3d9d9d2e2578ae36c5ee573ef487225976cbac2e38f1cddc6540e4f6df72ee5

See more details on using hashes here.

File details

Details for the file ipex_llm-2.2.0b20241220-py3-none-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.2.0b20241220-py3-none-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 779ad292203987cf61fba01ed4a70e70e0684bf0d522473b8b016a80b35d172c
MD5 af5d9ad535e29330b779d5a9f52ae5da
BLAKE2b-256 960c98b0529d260e97c48abba8a432fd01ded79f1aca43da1788f4af3a66c3d4

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