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-2.3.0b20250816-py3-none-win_amd64.whl (4.6 MB view details)

Uploaded Python 3Windows x86-64

ipex_llm-2.3.0b20250816-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-2.3.0b20250816-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.3.0b20250816-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 f67e3fd12027f27e3ccdf3ec39aa6dc3fee8260ee9852755f5f60f553ac52cce
MD5 b748c9b24eb53124b434ec4bcb42a9c5
BLAKE2b-256 0bc9aca040820eb377d367ab592dc14a9f12080c52e895befd8ad982b9faa9fc

See more details on using hashes here.

File details

Details for the file ipex_llm-2.3.0b20250816-py3-none-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.3.0b20250816-py3-none-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 faf2d6222d57647c053955ab3c26f512f38bd68e3baf3140259ca35a9ad53bf2
MD5 c36388096128077830c55e4b26094541
BLAKE2b-256 eb7ce390cf6d8c94540bf3fe45ec080da9631239c0cfa3101ad2fc7d4aebb8c3

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