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.dev20260627-cp314-cp314-manylinux_2_27_x86_64.whl (17.4 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.27+ x86-64

ai_edge_litert_nightly-2.2.0.dev20260627-cp314-cp314-manylinux_2_27_aarch64.whl (13.0 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.27+ ARM64

ai_edge_litert_nightly-2.2.0.dev20260627-cp313-cp313-manylinux_2_27_x86_64.whl (17.4 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.27+ x86-64

ai_edge_litert_nightly-2.2.0.dev20260627-cp313-cp313-manylinux_2_27_aarch64.whl (13.0 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.27+ ARM64

ai_edge_litert_nightly-2.2.0.dev20260627-cp312-cp312-manylinux_2_27_x86_64.whl (17.4 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.27+ x86-64

ai_edge_litert_nightly-2.2.0.dev20260627-cp312-cp312-manylinux_2_27_aarch64.whl (13.0 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.27+ ARM64

ai_edge_litert_nightly-2.2.0.dev20260627-cp311-cp311-manylinux_2_27_x86_64.whl (17.4 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.27+ x86-64

ai_edge_litert_nightly-2.2.0.dev20260627-cp311-cp311-manylinux_2_27_aarch64.whl (13.0 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.27+ ARM64

ai_edge_litert_nightly-2.2.0.dev20260627-cp310-cp310-manylinux_2_27_x86_64.whl (17.4 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.27+ x86-64

ai_edge_litert_nightly-2.2.0.dev20260627-cp310-cp310-manylinux_2_27_aarch64.whl (13.0 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.27+ ARM64

File details

Details for the file ai_edge_litert_nightly-2.2.0.dev20260627-cp314-cp314-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for ai_edge_litert_nightly-2.2.0.dev20260627-cp314-cp314-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 d3ae4e27a6456550082f6df9a241f88b0b9eba88636daa6b9f2256c7358ff77c
MD5 f42453c737856e8235b7c61b3a1f2f42
BLAKE2b-256 b7b19c19827a022bfde4bf618fed47b3a2c2962d06f71e265d974931b267cbaf

See more details on using hashes here.

File details

Details for the file ai_edge_litert_nightly-2.2.0.dev20260627-cp314-cp314-manylinux_2_27_aarch64.whl.

File metadata

File hashes

Hashes for ai_edge_litert_nightly-2.2.0.dev20260627-cp314-cp314-manylinux_2_27_aarch64.whl
Algorithm Hash digest
SHA256 b32fcae2d0e02c6d912a80f43c11b121af662f877ed681b303d568ad810bf709
MD5 8271c8a5f7ce314c0cdbecb0617c1d79
BLAKE2b-256 87d8ec8fbadf3f251ea1e5afd65e0cd87e920de53441733b87f59aadb09567ae

See more details on using hashes here.

File details

Details for the file ai_edge_litert_nightly-2.2.0.dev20260627-cp313-cp313-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for ai_edge_litert_nightly-2.2.0.dev20260627-cp313-cp313-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 e128880373ec497dd68054d37a8d153178f16b736d2db1400535892900bd6f26
MD5 a84fb3b93a985c380042cedf330eed3e
BLAKE2b-256 a124e4c1b0193f16d56ebdf41338623939ab9491e2ea9a667f79bc799db497c5

See more details on using hashes here.

File details

Details for the file ai_edge_litert_nightly-2.2.0.dev20260627-cp313-cp313-manylinux_2_27_aarch64.whl.

File metadata

File hashes

Hashes for ai_edge_litert_nightly-2.2.0.dev20260627-cp313-cp313-manylinux_2_27_aarch64.whl
Algorithm Hash digest
SHA256 1e9dd58afbca953d626a89a7344a7c972f26ad985ec394bbf6252e7f8dc4b031
MD5 0483f466a32b785c31399e31cb1a0120
BLAKE2b-256 dce19e892f2725500bc537a51289786d247d3dc96a68adeb5927b65f05333ed1

See more details on using hashes here.

File details

Details for the file ai_edge_litert_nightly-2.2.0.dev20260627-cp312-cp312-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for ai_edge_litert_nightly-2.2.0.dev20260627-cp312-cp312-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 d746199b1041c73cb49e0a5bdddb0ec2dcf170eff10a5ee663e270a4b2ea9148
MD5 04da3c0c5a50848356de3de582ee61d1
BLAKE2b-256 96476d309cb2c38c3d6a464d3a181367d90fd89009a50a1367955ff774734d61

See more details on using hashes here.

File details

Details for the file ai_edge_litert_nightly-2.2.0.dev20260627-cp312-cp312-manylinux_2_27_aarch64.whl.

File metadata

File hashes

Hashes for ai_edge_litert_nightly-2.2.0.dev20260627-cp312-cp312-manylinux_2_27_aarch64.whl
Algorithm Hash digest
SHA256 4281fbe947bcae8dce8f1e51708e474da6e51875e7a52791933ae9c2cdbc775c
MD5 46a7f64ab1a45895033c3b3ac7cf18aa
BLAKE2b-256 b493ef63e93e2e8954ee1da083f7459e671303d8368b677ae67d02f992e9ad0c

See more details on using hashes here.

File details

Details for the file ai_edge_litert_nightly-2.2.0.dev20260627-cp311-cp311-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for ai_edge_litert_nightly-2.2.0.dev20260627-cp311-cp311-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 408879ef8b070596f692afc4a7c62ec255f34c7f799ae7468d1bf3db0fd0ae33
MD5 7e895c4faf0817a7fa7647ea1fd779e1
BLAKE2b-256 f9e3e70e7d3762de33e80953c11f755a3af378f93af6e5dc0069574e98f56fc0

See more details on using hashes here.

File details

Details for the file ai_edge_litert_nightly-2.2.0.dev20260627-cp311-cp311-manylinux_2_27_aarch64.whl.

File metadata

File hashes

Hashes for ai_edge_litert_nightly-2.2.0.dev20260627-cp311-cp311-manylinux_2_27_aarch64.whl
Algorithm Hash digest
SHA256 bdeaa9e5e8f31c9b21cbbc58a9b286fc66c1a347360820bd70069fd76d5bde1e
MD5 978c847b37535d307cdd8194dd5f7e3f
BLAKE2b-256 c1f9a4d7815875ee4cde0718a5a23382e3a324a094895b0b50fd4d521479e4f3

See more details on using hashes here.

File details

Details for the file ai_edge_litert_nightly-2.2.0.dev20260627-cp310-cp310-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for ai_edge_litert_nightly-2.2.0.dev20260627-cp310-cp310-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 980f47eb8ea0249c67faf17b98aaff8bf53b414a0739d9912a04f9291ccb484d
MD5 357277faa7b80fc752668f60a1f7f760
BLAKE2b-256 d32ee61429b9b565d001acbfc03d06d1a7f98948c5f9622f0ea88c0c642390ba

See more details on using hashes here.

File details

Details for the file ai_edge_litert_nightly-2.2.0.dev20260627-cp310-cp310-manylinux_2_27_aarch64.whl.

File metadata

File hashes

Hashes for ai_edge_litert_nightly-2.2.0.dev20260627-cp310-cp310-manylinux_2_27_aarch64.whl
Algorithm Hash digest
SHA256 29cb518ded8f4878ab247534b2a9d50845aa5cadd3a5886fba1aafc849580b23
MD5 9893098348957132c42b03d3f52781a0
BLAKE2b-256 c7bf884171d1b6ad6db09c88d53460bd51bfe06256d4bfcd49ef80e6ef2a8fdc

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