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-2.1.0b20240614-py3-none-win_amd64.whl (4.0 MB view details)

Uploaded Python 3Windows x86-64

ipex_llm-2.1.0b20240614-py3-none-manylinux2010_x86_64.whl (9.0 MB view details)

Uploaded Python 3manylinux: glibc 2.12+ x86-64

File details

Details for the file ipex_llm-2.1.0b20240614-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.1.0b20240614-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 58770bf04475f2cc0bb4701251370760ebe021eea38f1d05aef6e14ceab189a7
MD5 83b2ab7c1dcb1b1b110874a1a5a47878
BLAKE2b-256 7fe3db9afa4ee1a573bd648c292d2addc07301e1c917114c87725dca1e8ea9b1

See more details on using hashes here.

File details

Details for the file ipex_llm-2.1.0b20240614-py3-none-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.1.0b20240614-py3-none-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 43a454c2e9c495a27099a662ea0e1845f307f9a108a1132c8cb81bfc584dcc66
MD5 58289580ecb5c3aca2d7f2ad50347db1
BLAKE2b-256 db234955853df634ebf439e540c481468c1a989dad0ebf2700fffeaee20fec81

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