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.dev20260826

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.dev20260826
File Interpreter ABI Platform
litert_torch_nightly-0.10.0.dev20260826-py3-none-any.whl Python 3 none any Details

Release files / litert_torch_nightly-0.10.0.dev20260826-py3-none-any.whl

Download URL litert_torch_nightly-0.10.0.dev20260826-py3-none-any.whl
Size 813.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
0771b548245754e13d6afe97f0e802e6cc56655fe7424bc0c7e41dc3cb7e2862
BLAKE2b-256 checksum
How to use checksums
3bfad22c2d1dcffccda3f84ca4ac49d4faeab376c813130236227633fae07974
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