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-2.3.0b20251015-py3-none-win_amd64.whl (4.6 MB view details)

Uploaded Python 3Windows x86-64

ipex_llm-2.3.0b20251015-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-2.3.0b20251015-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.3.0b20251015-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 f2169bd3a622d925a10da61bc61a64027e2818a82336eb6f572e1e11b2a15f4f
MD5 8da7551590f13d9cc0504f310f5f8d85
BLAKE2b-256 f788f46752e6801079bff2c7b9bbc8b079b691a56aee3cfa1ad1063ebbd5ab11

See more details on using hashes here.

File details

Details for the file ipex_llm-2.3.0b20251015-py3-none-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.3.0b20251015-py3-none-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 e9c9425267975c189092e85167dd9e72ff77aaeb0183d4b33b3ae1026f062a4f
MD5 480ff0b67ae70fb3d315184f59497f78
BLAKE2b-256 df7f2faeb1780251fc6bad876b89d442e80a7f461743173b790bc9869f05a689

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