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-2.2.0b20241203-py3-none-win_amd64.whl (4.4 MB view details)

Uploaded Python 3Windows x86-64

ipex_llm-2.2.0b20241203-py3-none-manylinux2010_x86_64.whl (9.5 MB view details)

Uploaded Python 3manylinux: glibc 2.12+ x86-64

File details

Details for the file ipex_llm-2.2.0b20241203-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.2.0b20241203-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 1304f010f26eebe2a7cbf50153da38c6e8a65e5a8a562c373991cbd3462dcab5
MD5 28e6088e7b0abc68af2d239f0e9dca54
BLAKE2b-256 fa3f89ae418ae6cb6487c057bbbdf2657dd1213c4220efc835c700204cb44a70

See more details on using hashes here.

File details

Details for the file ipex_llm-2.2.0b20241203-py3-none-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.2.0b20241203-py3-none-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 909fbd06bc40c8800b2df9a483a0db41874822069a322830de9bd286b09f5451
MD5 bf13175e418fc0b413353463c509cd80
BLAKE2b-256 0e1e99ac155c3ef9212caddfc176530a6420224ea2f5f3a30af6694f063875c4

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