Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

Library that supports converting PyTorch models into a .tflite format, which can then be run with LiteRT. This enables applications for Android, iOS and IOT that can run models completely on-device.

Install steps and additional details are in the LiteRT Torch GitHub repository.

Release files for litert-torch-nightly 0.10.0.dev20260916

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for litert-torch-nightly 0.10.0.dev20260916
File Interpreter ABI Platform
litert_torch_nightly-0.10.0.dev20260916-py3-none-any.whl Python 3 none any Details

Release files / litert_torch_nightly-0.10.0.dev20260916-py3-none-any.whl

Download URL litert_torch_nightly-0.10.0.dev20260916-py3-none-any.whl
Size 845.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
2cfac944de3c59af42d1bebdc5b53a95a5df605d67f2c1d86c71ad04a85d5a82
BLAKE2b-256 checksum
How to use checksums
a6150e97fca9c1a03528d826c2a0ab48b3a7acf31e691b645253b365770c5f83
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.11.16

Release history Release notifications | RSS feed

This release
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page