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-2.3.0b20250626-py3-none-win_amd64.whl (4.6 MB view details)

Uploaded Python 3Windows x86-64

ipex_llm-2.3.0b20250626-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-2.3.0b20250626-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.3.0b20250626-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 6a0f48013f1869279bd908ebf5408105b4d70a43c0fe86c0fd7c4fc6e50fafd9
MD5 b2a2a5df1ec2ff89afdef991939803ea
BLAKE2b-256 180eb1d8f79a7e1c8775bd4f8dcef395022b50b3438fef84d709c9efc7c331b7

See more details on using hashes here.

File details

Details for the file ipex_llm-2.3.0b20250626-py3-none-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.3.0b20250626-py3-none-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 53e5da33681791a09b87269674c57dec549b92c1f88c1e1ecf4a413c7fe08735
MD5 d7191a3b47096f6e7b94d083960dc4e4
BLAKE2b-256 237592e80d65d3835fccdb9a90fee4444e4fde197741d8bfcbbabd269c8d3581

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