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-2.2.0b20250211-py3-none-win_amd64.whl (4.5 MB view details)

Uploaded Python 3Windows x86-64

ipex_llm-2.2.0b20250211-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-2.2.0b20250211-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.2.0b20250211-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 4f990ae94a3c8bf9503a5edf28b8b342bcd42ef2b1d9a4cf85810a08e1ca6a14
MD5 606ae1f6619d12793c61ed2d10dbdc80
BLAKE2b-256 441d4b06d0103ac14922d0500d45ffead47016a525882ab0c1b6f0e65c26da81

See more details on using hashes here.

File details

Details for the file ipex_llm-2.2.0b20250211-py3-none-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.2.0b20250211-py3-none-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 f16df385bd3d004979727e064de5e4725fc57d79eb123ecca9a4b6e0ff7ecf47
MD5 a047372fd4ee99b042bdfbf8e0de8eb2
BLAKE2b-256 7712c60881f0be06e29df67fe3dd14101b8571cf9a56855045d32c0964ffdf19

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