Skip to main content

LiteRT is for mobile and embedded devices.

Project description

LiteRT is the official solution for running machine learning models on mobile
and embedded devices. It enables on-device machine learning inference with low
latency and a small binary size on Android, iOS, and other operating systems.

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.

ai_edge_litert_nightly-2.2.0.dev20260412-cp313-cp313-win_amd64.whl (12.8 MB view details)

Uploaded CPython 3.13Windows x86-64

ai_edge_litert_nightly-2.2.0.dev20260412-cp313-cp313-manylinux_2_27_x86_64.whl (16.9 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.27+ x86-64

ai_edge_litert_nightly-2.2.0.dev20260412-cp313-cp313-manylinux_2_27_aarch64.whl (12.8 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.27+ ARM64

ai_edge_litert_nightly-2.2.0.dev20260412-cp313-cp313-macosx_12_0_arm64.whl (9.6 MB view details)

Uploaded CPython 3.13macOS 12.0+ ARM64

ai_edge_litert_nightly-2.2.0.dev20260412-cp312-cp312-win_amd64.whl (12.8 MB view details)

Uploaded CPython 3.12Windows x86-64

ai_edge_litert_nightly-2.2.0.dev20260412-cp312-cp312-manylinux_2_27_x86_64.whl (16.9 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.27+ x86-64

ai_edge_litert_nightly-2.2.0.dev20260412-cp312-cp312-manylinux_2_27_aarch64.whl (12.8 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.27+ ARM64

ai_edge_litert_nightly-2.2.0.dev20260412-cp312-cp312-macosx_12_0_arm64.whl (9.6 MB view details)

Uploaded CPython 3.12macOS 12.0+ ARM64

ai_edge_litert_nightly-2.2.0.dev20260412-cp311-cp311-win_amd64.whl (12.8 MB view details)

Uploaded CPython 3.11Windows x86-64

ai_edge_litert_nightly-2.2.0.dev20260412-cp311-cp311-manylinux_2_27_x86_64.whl (16.9 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.27+ x86-64

ai_edge_litert_nightly-2.2.0.dev20260412-cp311-cp311-manylinux_2_27_aarch64.whl (12.8 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.27+ ARM64

ai_edge_litert_nightly-2.2.0.dev20260412-cp311-cp311-macosx_12_0_arm64.whl (9.6 MB view details)

Uploaded CPython 3.11macOS 12.0+ ARM64

ai_edge_litert_nightly-2.2.0.dev20260412-cp310-cp310-win_amd64.whl (12.8 MB view details)

Uploaded CPython 3.10Windows x86-64

ai_edge_litert_nightly-2.2.0.dev20260412-cp310-cp310-manylinux_2_27_x86_64.whl (16.9 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.27+ x86-64

ai_edge_litert_nightly-2.2.0.dev20260412-cp310-cp310-manylinux_2_27_aarch64.whl (12.8 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.27+ ARM64

ai_edge_litert_nightly-2.2.0.dev20260412-cp310-cp310-macosx_12_0_arm64.whl (9.6 MB view details)

Uploaded CPython 3.10macOS 12.0+ ARM64

File details

Details for the file ai_edge_litert_nightly-2.2.0.dev20260412-cp313-cp313-win_amd64.whl.

File metadata

File hashes

Hashes for ai_edge_litert_nightly-2.2.0.dev20260412-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 3f0754da54498082eb6d5cd32d895fc10b2d16b50ffb22926ed9847bb4877080
MD5 5df098894e442acb322d2dc3dd15ea71
BLAKE2b-256 3d523ff91a3fab963a6ea70b9089ebf29d49b581c89ce8267301025b70799a50

See more details on using hashes here.

File details

Details for the file ai_edge_litert_nightly-2.2.0.dev20260412-cp313-cp313-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for ai_edge_litert_nightly-2.2.0.dev20260412-cp313-cp313-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 cac35e4175fc845fb55af8bc78a8cc4fc68428ed54adbfd8459b826784761df2
MD5 c974fc0961dddfd5307e30daac83ac8b
BLAKE2b-256 4104469bd53690fa21a5ae2a0415a39eefd9620f58f1f8878830e1f3c6efcdb7

See more details on using hashes here.

File details

Details for the file ai_edge_litert_nightly-2.2.0.dev20260412-cp313-cp313-manylinux_2_27_aarch64.whl.

File metadata

File hashes

Hashes for ai_edge_litert_nightly-2.2.0.dev20260412-cp313-cp313-manylinux_2_27_aarch64.whl
Algorithm Hash digest
SHA256 ee8f1de8f452e0a48c837f2b65c72c13dd9986ddff75ce225863948c1ba2f41a
MD5 f215b1d9976fbe55ca9a687180099c69
BLAKE2b-256 83151f05447f135d2e4fef5aeded26071eeb43d2744c3266edc0a8d7eca6d47d

See more details on using hashes here.

File details

Details for the file ai_edge_litert_nightly-2.2.0.dev20260412-cp313-cp313-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for ai_edge_litert_nightly-2.2.0.dev20260412-cp313-cp313-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 89f8cd2791aae8658ab1b4c044b3aab020e0d7645176c206687334671e513783
MD5 f78fcc2580f1b7be7ec6c3996dff7911
BLAKE2b-256 e9496910c90fae342275e14beeb523a0c93089f2ba552c0d2d0ef48ae4eeb0c8

See more details on using hashes here.

File details

Details for the file ai_edge_litert_nightly-2.2.0.dev20260412-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for ai_edge_litert_nightly-2.2.0.dev20260412-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 0dcfc6dc15df4175a25df55ebf48443f2afa644b5f29da97d15bcc707c861a69
MD5 a97db036c663de1ae6171c8053951fe6
BLAKE2b-256 004f330ab22f82258248878d5b7384e235388acd46f3af1b4135dcf1d70ff78e

See more details on using hashes here.

File details

Details for the file ai_edge_litert_nightly-2.2.0.dev20260412-cp312-cp312-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for ai_edge_litert_nightly-2.2.0.dev20260412-cp312-cp312-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 1bcdbeba15453b904d7c62437b75f2ebaadf5d45716d72c668443587bba356c6
MD5 793c467d1111c7dcfc58266364351170
BLAKE2b-256 2678d94f730a637eeb6d62ce0e5b5c91ecaae5f41a53a9548d69501315a484c4

See more details on using hashes here.

File details

Details for the file ai_edge_litert_nightly-2.2.0.dev20260412-cp312-cp312-manylinux_2_27_aarch64.whl.

File metadata

File hashes

Hashes for ai_edge_litert_nightly-2.2.0.dev20260412-cp312-cp312-manylinux_2_27_aarch64.whl
Algorithm Hash digest
SHA256 c65de686feb38aa889fcd90b386d558c980c94e8681a1bbf76c53ae9f376ceb1
MD5 b7672a199e6cfe9f8ab3c324394eaa7c
BLAKE2b-256 dcb016b7e4db39393033ec915cf6c8bef54e6132a2798cc3b1aa44f6dc6809fb

See more details on using hashes here.

File details

Details for the file ai_edge_litert_nightly-2.2.0.dev20260412-cp312-cp312-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for ai_edge_litert_nightly-2.2.0.dev20260412-cp312-cp312-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 a4da5eb6aeb02e4b534d9a9113bcf3b64be316fdc4a1a0aebea1fe20c31be0fd
MD5 31c708f91d074b17d9505c6cf9b48519
BLAKE2b-256 29577b4a138d160a5edf72664f5110918a58af66e86b74863513f20dfe35dd57

See more details on using hashes here.

File details

Details for the file ai_edge_litert_nightly-2.2.0.dev20260412-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for ai_edge_litert_nightly-2.2.0.dev20260412-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 ebd70d5c99d525d220da634f3a71edc48ee27232a8ed2d75d5e92aaa474150ac
MD5 b37b90a7832d2bbba8b55ce78f3d318b
BLAKE2b-256 fcce68159e525b1c1e0b42a45ca530947a46ed858752d788382b52dbb816dcd5

See more details on using hashes here.

File details

Details for the file ai_edge_litert_nightly-2.2.0.dev20260412-cp311-cp311-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for ai_edge_litert_nightly-2.2.0.dev20260412-cp311-cp311-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 ca181f60f5dbcc759d4659df0821242f3d8adc701da58facdcd8da2fa9d37777
MD5 bbdab660e8c76c70406689be0972eb26
BLAKE2b-256 6384aed2c3068fafaf5212ef7d4c01fabebfd5fde1c9edb98ff4205039ac3668

See more details on using hashes here.

File details

Details for the file ai_edge_litert_nightly-2.2.0.dev20260412-cp311-cp311-manylinux_2_27_aarch64.whl.

File metadata

File hashes

Hashes for ai_edge_litert_nightly-2.2.0.dev20260412-cp311-cp311-manylinux_2_27_aarch64.whl
Algorithm Hash digest
SHA256 7aa70cdd7111ffe5952c188933852febb6eb50a63d60625eb7a5fbb488156c74
MD5 ec5bcd05a7eaa6114b9f02a975686ffe
BLAKE2b-256 215de7167c6e656f1cdfb168905f5ba33ae75cc812148ed023355371e13bf044

See more details on using hashes here.

File details

Details for the file ai_edge_litert_nightly-2.2.0.dev20260412-cp311-cp311-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for ai_edge_litert_nightly-2.2.0.dev20260412-cp311-cp311-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 bc4e0b2158e1ada7163d2991a2b3f6f3cab0ff975f68dcb4efd1111c921363e3
MD5 e74c8091f79f00a996139f32dd47420d
BLAKE2b-256 3029c7dbe01cbfdbd97f28f605355e1c829d3d184c5b52429f9e11bcd04d6344

See more details on using hashes here.

File details

Details for the file ai_edge_litert_nightly-2.2.0.dev20260412-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for ai_edge_litert_nightly-2.2.0.dev20260412-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 dd32b09787cdf60bb2d32320433f49316a25ffbd837dc5036e8e65e3888b9ed3
MD5 45a1967cc1866674989babafef53d0c2
BLAKE2b-256 437eedbabeb130c35cb12f9f290242a95f37d47948bbaea482bec57264df0db2

See more details on using hashes here.

File details

Details for the file ai_edge_litert_nightly-2.2.0.dev20260412-cp310-cp310-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for ai_edge_litert_nightly-2.2.0.dev20260412-cp310-cp310-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 57576389e1a4c7b476c641392b6185891ca5ccba27527d6f2eae9d19bb61bcb5
MD5 bc9ebb81b3e230447a4a83625830c04a
BLAKE2b-256 12654e8535b1ac4031e3bd82577d0b6083593982afcf9ade15349ad522981479

See more details on using hashes here.

File details

Details for the file ai_edge_litert_nightly-2.2.0.dev20260412-cp310-cp310-manylinux_2_27_aarch64.whl.

File metadata

File hashes

Hashes for ai_edge_litert_nightly-2.2.0.dev20260412-cp310-cp310-manylinux_2_27_aarch64.whl
Algorithm Hash digest
SHA256 d57f4d4c92b8f573c0a3483ab3140168c8f5a132cc1673d3d193d4f466b9875f
MD5 28b14a90b159507001a9d2e436ad4e80
BLAKE2b-256 aa8084f973f15b96cba6b1dbaf1e83e024c1d0f356134f02544110f03d58e80b

See more details on using hashes here.

File details

Details for the file ai_edge_litert_nightly-2.2.0.dev20260412-cp310-cp310-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for ai_edge_litert_nightly-2.2.0.dev20260412-cp310-cp310-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 b254fd17dce520c00502db679d0bf42041c75a9c95cb1f6f5fc7269d5dd6bdd3
MD5 07a2123720ff5e15e273a9ec55715b06
BLAKE2b-256 b1f4d371c0c3c4180902da7b61bd91539ecb3974239aded5a20c7854055d51fb

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