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-2.2.0b20250219-py3-none-win_amd64.whl (4.6 MB view details)

Uploaded Python 3Windows x86-64

ipex_llm-2.2.0b20250219-py3-none-manylinux2010_x86_64.whl (9.7 MB view details)

Uploaded Python 3manylinux: glibc 2.12+ x86-64

File details

Details for the file ipex_llm-2.2.0b20250219-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.2.0b20250219-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 b341fba99d0d9ffa1ec2fe4be702366b840b4b2919d48e6cd914a5ad6d77ca30
MD5 24e98a47fdfb5de9243fc6be9c42cb41
BLAKE2b-256 7547b4865b2cf2b5426b4bab7c8eacb97e32cbd09871166a765e82fc7a998c36

See more details on using hashes here.

File details

Details for the file ipex_llm-2.2.0b20250219-py3-none-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ipex_llm-2.2.0b20250219-py3-none-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 d8e79be9e15e21c4d1479bcaf6f43f5baf9755ac81ab6ce9ba83b87934b9d180
MD5 74b235daceb117d59c5ecc0f70965d9b
BLAKE2b-256 e91ec5cfce027b2496644867be197f106d828489537344838aa84981dc688580

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