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-2.3.0b20251020-py3-none-win_amd64.whl (4.6 MB view details)

Uploaded Python 3Windows x86-64

ipex_llm-2.3.0b20251020-py3-none-manylinux2010_x86_64.whl (9.8 MB view details)

Uploaded Python 3manylinux: glibc 2.12+ x86-64

File details

Details for the file ipex_llm-2.3.0b20251020-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.3.0b20251020-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 f0497f488eeb149eb1a5a70e1fb8ca0ad2a9a7087c7f711aa187e01975bdf007
MD5 4b3652318651811523ccb2cb9deb5cbe
BLAKE2b-256 499b34ca5231d4c1194a9a46fb2ed6124f63a170b382e3b65c714a99be165892

See more details on using hashes here.

File details

Details for the file ipex_llm-2.3.0b20251020-py3-none-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.3.0b20251020-py3-none-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 75a10c78cfd6fa182c52ab1a6f6ae23d94de9639079dd57dce2ba34da8e9a305
MD5 9763282919e8cbf858a73cf585fd9e72
BLAKE2b-256 355294858c86f20378b6ed4ec593b254ae9ea19ae4a3773b356f436aa61bbe0e

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