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
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1 maintainer
Release files for litert-converter 0.3.0.dev20260607
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.dev20260607-cp314-cp314-macosx_12_0_arm64.whl | CPython 3.14 | CPython 3.14 | macOS 12.0+ ARM64 | Details |
| litert_converter-0.3.0.dev20260607-cp313-cp313-macosx_12_0_arm64.whl | CPython 3.13 | CPython 3.13 | macOS 12.0+ ARM64 | Details |
| litert_converter-0.3.0.dev20260607-cp312-cp312-macosx_12_0_arm64.whl | CPython 3.12 | CPython 3.12 | macOS 12.0+ ARM64 | Details |
| litert_converter-0.3.0.dev20260607-cp311-cp311-macosx_12_0_arm64.whl | CPython 3.11 | CPython 3.11 | macOS 12.0+ ARM64 | Details |
| litert_converter-0.3.0.dev20260607-cp310-cp310-macosx_12_0_arm64.whl | CPython 3.10 | CPython 3.10 | macOS 12.0+ ARM64 | Details |
Total release size: 505.3 MB
Release files / litert_converter-0.3.0.dev20260607-cp314-cp314-macosx_12_0_arm64.whl
| Download URL | litert_converter-0.3.0.dev20260607-cp314-cp314-macosx_12_0_arm64.whl |
|---|---|
| Size | 101.1 MB |
| Tags | CPython 3.14 macOS 12.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
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| 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.dev20260607-cp313-cp313-macosx_12_0_arm64.whl
| Download URL | litert_converter-0.3.0.dev20260607-cp313-cp313-macosx_12_0_arm64.whl |
|---|---|
| Size | 101.1 MB |
| Tags | CPython 3.13 macOS 12.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| 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.dev20260607-cp312-cp312-macosx_12_0_arm64.whl
| Download URL | litert_converter-0.3.0.dev20260607-cp312-cp312-macosx_12_0_arm64.whl |
|---|---|
| Size | 101.1 MB |
| Tags | CPython 3.12 macOS 12.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| 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.dev20260607-cp311-cp311-macosx_12_0_arm64.whl
| Download URL | litert_converter-0.3.0.dev20260607-cp311-cp311-macosx_12_0_arm64.whl |
|---|---|
| Size | 101.1 MB |
| Tags | CPython 3.11 macOS 12.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| 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.dev20260607-cp310-cp310-macosx_12_0_arm64.whl
| Download URL | litert_converter-0.3.0.dev20260607-cp310-cp310-macosx_12_0_arm64.whl |
|---|---|
| Size | 101.1 MB |
| Tags | CPython 3.10 macOS 12.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.20
|
