Pre-release
This release is a pre-release and may not be stable for production use.
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.
1 maintainer
Metadata
1 maintainer
Release files for litert-converter 0.3.0.dev20260703
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| litert_converter-0.3.0.dev20260703-cp314-cp314-macosx_12_0_arm64.whl | CPython 3.14 | CPython 3.14 | macOS 12.0+ ARM64 | Details |
| litert_converter-0.3.0.dev20260703-cp313-cp313-macosx_12_0_arm64.whl | CPython 3.13 | CPython 3.13 | macOS 12.0+ ARM64 | Details |
| litert_converter-0.3.0.dev20260703-cp312-cp312-macosx_12_0_arm64.whl | CPython 3.12 | CPython 3.12 | macOS 12.0+ ARM64 | Details |
| litert_converter-0.3.0.dev20260703-cp311-cp311-macosx_12_0_arm64.whl | CPython 3.11 | CPython 3.11 | macOS 12.0+ ARM64 | Details |
| litert_converter-0.3.0.dev20260703-cp310-cp310-macosx_12_0_arm64.whl | CPython 3.10 | CPython 3.10 | macOS 12.0+ ARM64 | Details |
Total release size: 517.8 MB
Release files / litert_converter-0.3.0.dev20260703-cp314-cp314-macosx_12_0_arm64.whl
| Download URL | litert_converter-0.3.0.dev20260703-cp314-cp314-macosx_12_0_arm64.whl |
|---|---|
| Size | 103.6 MB |
| Tags | CPython 3.14 macOS 12.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
ad3db5f652ca8f7b3897b8137dba6b33a6cf1ae46a5525d9361fc4765e29900f
|
|
BLAKE2b-256 checksum How to use checksums |
95c48cc9574e99d13179a0bd306c03d9295b91f9d4c8d9d6bf1f60221622986e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.20
|
Release files / litert_converter-0.3.0.dev20260703-cp313-cp313-macosx_12_0_arm64.whl
| Download URL | litert_converter-0.3.0.dev20260703-cp313-cp313-macosx_12_0_arm64.whl |
|---|---|
| Size | 103.6 MB |
| Tags | CPython 3.13 macOS 12.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
916b11a171def35d55fca05cb2eca970288937eef00ae9c2e14d4779569a6823
|
|
BLAKE2b-256 checksum How to use checksums |
7f58fb10a16bfd5a7b613945f4d8f3e5857f59f7194327fe38be693d4d29c0af
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.20
|
Release files / litert_converter-0.3.0.dev20260703-cp312-cp312-macosx_12_0_arm64.whl
| Download URL | litert_converter-0.3.0.dev20260703-cp312-cp312-macosx_12_0_arm64.whl |
|---|---|
| Size | 103.6 MB |
| Tags | CPython 3.12 macOS 12.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
d52100f05f41f3d8af6913a89ebd19ba8ca6d4b18143a9018fdf83378c930934
|
|
BLAKE2b-256 checksum How to use checksums |
e42bcd5553d6d60d4d2ab2b6c1950107ded8453013954b0cab11a6c452e5bf1c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.20
|
Release files / litert_converter-0.3.0.dev20260703-cp311-cp311-macosx_12_0_arm64.whl
| Download URL | litert_converter-0.3.0.dev20260703-cp311-cp311-macosx_12_0_arm64.whl |
|---|---|
| Size | 103.6 MB |
| Tags | CPython 3.11 macOS 12.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
f6413c134467741a9f2b3cd250b051af2baee85e99936fc02fc438731b046653
|
|
BLAKE2b-256 checksum How to use checksums |
de6134ef19f04548b999e7bc7a3d4e1bba41cb3f411c616d51612283b92d3ce3
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.20
|
Release files / litert_converter-0.3.0.dev20260703-cp310-cp310-macosx_12_0_arm64.whl
| Download URL | litert_converter-0.3.0.dev20260703-cp310-cp310-macosx_12_0_arm64.whl |
|---|---|
| Size | 103.5 MB |
| Tags | CPython 3.10 macOS 12.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
be29f364abc06c3831f68e0370804b78645650c7accf68e1e52e1dec7c8f3623
|
|
BLAKE2b-256 checksum How to use checksums |
e4db01601f701d0e4c4862ab4bf6f4ad5bb99e757c1df7ffa0fa04ef10ac4b92
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.20
|
