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.
2 maintainers
Release files for ai-edge-litert-nightly 2.2.0.dev20260805
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
Total release size: 250.0 MB
Release files / ai_edge_litert_nightly-2.2.0.dev20260805-cp314-cp314-win_amd64.whl
| Download URL | ai_edge_litert_nightly-2.2.0.dev20260805-cp314-cp314-win_amd64.whl |
|---|---|
| Size | 18.5 MB |
| Tags | CPython 3.14 Windows x86-64 |
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|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.10
|
Release files / ai_edge_litert_nightly-2.2.0.dev20260805-cp314-cp314-manylinux_2_27_x86_64.whl
| Download URL | ai_edge_litert_nightly-2.2.0.dev20260805-cp314-cp314-manylinux_2_27_x86_64.whl |
|---|---|
| Size | 21.2 MB |
| Tags | CPython 3.14 Linux glibc 2.27+ x86-64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.13
|
Release files / ai_edge_litert_nightly-2.2.0.dev20260805-cp314-cp314-macosx_12_0_arm64.whl
| Download URL | ai_edge_litert_nightly-2.2.0.dev20260805-cp314-cp314-macosx_12_0_arm64.whl |
|---|---|
| Size | 10.8 MB |
| Tags | CPython 3.14 macOS 12.0+ ARM64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.13
|
Release files / ai_edge_litert_nightly-2.2.0.dev20260805-cp313-cp313-win_amd64.whl
| Download URL | ai_edge_litert_nightly-2.2.0.dev20260805-cp313-cp313-win_amd64.whl |
|---|---|
| Size | 17.9 MB |
| Tags | CPython 3.13 Windows x86-64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.10
|
Release files / ai_edge_litert_nightly-2.2.0.dev20260805-cp313-cp313-manylinux_2_27_x86_64.whl
| Download URL | ai_edge_litert_nightly-2.2.0.dev20260805-cp313-cp313-manylinux_2_27_x86_64.whl |
|---|---|
| Size | 21.2 MB |
| Tags | CPython 3.13 Linux glibc 2.27+ x86-64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.13
|
Release files / ai_edge_litert_nightly-2.2.0.dev20260805-cp313-cp313-macosx_12_0_arm64.whl
| Download URL | ai_edge_litert_nightly-2.2.0.dev20260805-cp313-cp313-macosx_12_0_arm64.whl |
|---|---|
| Size | 10.8 MB |
| Tags | CPython 3.13 macOS 12.0+ ARM64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.13
|
Release files / ai_edge_litert_nightly-2.2.0.dev20260805-cp312-cp312-win_amd64.whl
| Download URL | ai_edge_litert_nightly-2.2.0.dev20260805-cp312-cp312-win_amd64.whl |
|---|---|
| Size | 17.9 MB |
| Tags | CPython 3.12 Windows x86-64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.10
|
Release files / ai_edge_litert_nightly-2.2.0.dev20260805-cp312-cp312-manylinux_2_27_x86_64.whl
| Download URL | ai_edge_litert_nightly-2.2.0.dev20260805-cp312-cp312-manylinux_2_27_x86_64.whl |
|---|---|
| Size | 21.2 MB |
| Tags | CPython 3.12 Linux glibc 2.27+ x86-64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.13
|
Release files / ai_edge_litert_nightly-2.2.0.dev20260805-cp312-cp312-macosx_12_0_arm64.whl
| Download URL | ai_edge_litert_nightly-2.2.0.dev20260805-cp312-cp312-macosx_12_0_arm64.whl |
|---|---|
| Size | 10.8 MB |
| Tags | CPython 3.12 macOS 12.0+ ARM64 |
|
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.13
|
Release files / ai_edge_litert_nightly-2.2.0.dev20260805-cp311-cp311-win_amd64.whl
| Download URL | ai_edge_litert_nightly-2.2.0.dev20260805-cp311-cp311-win_amd64.whl |
|---|---|
| Size | 17.9 MB |
| Tags | CPython 3.11 Windows x86-64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.10
|
Release files / ai_edge_litert_nightly-2.2.0.dev20260805-cp311-cp311-manylinux_2_27_x86_64.whl
| Download URL | ai_edge_litert_nightly-2.2.0.dev20260805-cp311-cp311-manylinux_2_27_x86_64.whl |
|---|---|
| Size | 21.2 MB |
| Tags | CPython 3.11 Linux glibc 2.27+ x86-64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.13
|
Release files / ai_edge_litert_nightly-2.2.0.dev20260805-cp311-cp311-macosx_12_0_arm64.whl
| Download URL | ai_edge_litert_nightly-2.2.0.dev20260805-cp311-cp311-macosx_12_0_arm64.whl |
|---|---|
| Size | 10.8 MB |
| Tags | CPython 3.11 macOS 12.0+ ARM64 |
|
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.13
|
Release files / ai_edge_litert_nightly-2.2.0.dev20260805-cp310-cp310-win_amd64.whl
| Download URL | ai_edge_litert_nightly-2.2.0.dev20260805-cp310-cp310-win_amd64.whl |
|---|---|
| Size | 17.9 MB |
| Tags | CPython 3.10 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.10
|
Release files / ai_edge_litert_nightly-2.2.0.dev20260805-cp310-cp310-manylinux_2_27_x86_64.whl
| Download URL | ai_edge_litert_nightly-2.2.0.dev20260805-cp310-cp310-manylinux_2_27_x86_64.whl |
|---|---|
| Size | 21.2 MB |
| Tags | CPython 3.10 Linux glibc 2.27+ x86-64 |
|
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/7.0.0 CPython/3.12.13
|
Release files / ai_edge_litert_nightly-2.2.0.dev20260805-cp310-cp310-macosx_12_0_arm64.whl
| Download URL | ai_edge_litert_nightly-2.2.0.dev20260805-cp310-cp310-macosx_12_0_arm64.whl |
|---|---|
| Size | 10.8 MB |
| Tags | CPython 3.10 macOS 12.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.13
|
