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-2.1.0b20240529-py3-none-win_amd64.whl (5.4 MB view details)

Uploaded Python 3Windows x86-64

ipex_llm-2.1.0b20240529-py3-none-manylinux2010_x86_64.whl (13.8 MB view details)

Uploaded Python 3manylinux: glibc 2.12+ x86-64

File details

Details for the file ipex_llm-2.1.0b20240529-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.1.0b20240529-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 17155f211767d0a5f25041dda74ed43d8fa6b492d96bf2343879d44e5d9b9c7d
MD5 a42480d27aeb0e1e2bab01bf96f39a72
BLAKE2b-256 974bab91e1b39ae2e5efc457b5691556b673ad6745f27ce601b8bb765b6538b0

See more details on using hashes here.

File details

Details for the file ipex_llm-2.1.0b20240529-py3-none-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.1.0b20240529-py3-none-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 84101de5f3ed1466262c9e7262a7630c84855e99d7a337d155089613593a5113
MD5 2cdbfa249d657a02c907413629d075c4
BLAKE2b-256 cb0cb6698bfff4d158cf0325a46c596d22820ed295bce6a247b402895f5c8687

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