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

ipex_llm-2.1.0b20240808-py3-none-win_amd64.whl (4.2 MB view details)

Uploaded Python 3 Windows x86-64

ipex_llm-2.1.0b20240808-py3-none-manylinux2010_x86_64.whl (9.2 MB view details)

Uploaded Python 3 manylinux: glibc 2.12+ x86-64

File details

Details for the file ipex_llm-2.1.0b20240808-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.1.0b20240808-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 187bd655a9776c00710c90924fc2079b47413e4a909cd3d6c011ce6db49caafa
MD5 367c17815f8c39e0db25d256d24089fd
BLAKE2b-256 66490ecd15de0676456fc51fc3b4b5bb48f033d696f57eb1e9c93e0aa8adce8a

See more details on using hashes here.

File details

Details for the file ipex_llm-2.1.0b20240808-py3-none-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.1.0b20240808-py3-none-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 6d5e8060f35fc358471a9dc6ab068d9dc81fac7dc7551b8753fbf4fa6a29a561
MD5 b81281c2d5035ee34a5ab7b0566c8078
BLAKE2b-256 ad12a90d313b52799611ca975f895ca2258f52937adf4b90d9fcecd0c3447859

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page