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-2.3.0b20250529-py3-none-win_amd64.whl (4.6 MB view details)

Uploaded Python 3Windows x86-64

ipex_llm-2.3.0b20250529-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-2.3.0b20250529-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.3.0b20250529-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 7c124adf663b5a90f58978bda09181c573b28a8b90e2faa733c7a740f123e622
MD5 3f31346950413b2da15e87066a271131
BLAKE2b-256 5266ae8a20bf4096dd45a01fa1615d6ff86b918bdc6fdd4f94900ad5c3c8e6d6

See more details on using hashes here.

File details

Details for the file ipex_llm-2.3.0b20250529-py3-none-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.3.0b20250529-py3-none-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 bd90a3d0fccb8bc91f789881aafa4bd59218cbcdf7173a6f22a20ba1b4a1ebab
MD5 f11ecc160d691354b34eabcfc6cc109c
BLAKE2b-256 45088ae023d74b4c4fdccec32ce53a51176da8fc755daa5fa7d1bbc8f7a438ee

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