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-2.2.0b20250226-py3-none-win_amd64.whl (4.6 MB view details)

Uploaded Python 3Windows x86-64

ipex_llm-2.2.0b20250226-py3-none-manylinux2010_x86_64.whl (9.7 MB view details)

Uploaded Python 3manylinux: glibc 2.12+ x86-64

File details

Details for the file ipex_llm-2.2.0b20250226-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.2.0b20250226-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 7718c6705fbd4a1ab9a6e45b0fac8477a6f13f95cb8a5c858ed719528d1e5c4c
MD5 6bc482704007e9cd46915d61c5d9c4b5
BLAKE2b-256 92f3702c23186bb1d6a575e3e91004392769294429b2faedace33978e5569803

See more details on using hashes here.

File details

Details for the file ipex_llm-2.2.0b20250226-py3-none-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.2.0b20250226-py3-none-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 46f3e17468c65b6771387ba795e5e22292011909d3141429593784c4d4be90cc
MD5 20e565af5cd4d21f30ac708953791aff
BLAKE2b-256 44e9cbab97ec931c8bcfa32028cce1c4bf02ba9ddad95a71023df3783a8899d9

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