Support PyTorch model conversion with LiteRT.
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Requires Python: >=3.10
Classifiers
Development Status
- 4 - Beta
Intended Audience
- Developers
- Education
- Science/Research
License
- OSI Approved :: Apache Software License
Programming Language
- Python :: 3
- Python :: 3 :: Only
- Python :: 3.10
- Python :: 3.11
- Python :: 3.12
- Python :: 3.13
Topic
- Scientific/Engineering
- Scientific/Engineering :: Mathematics
- Scientific/Engineering :: Artificial Intelligence
- Software Development
- Software Development :: Libraries
- Software Development :: Libraries :: Python Modules
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.
0.9.4
Aug 24, 2026
0.9.3
Aug 04, 2026
0.9.2
Jul 27, 2026
0.9.1
May 19, 2026
0.9.0
Apr 23, 2026
0.8.0
Jan 26, 2026
Wheel compatibility matrix
Files in release
Extras:
None
Dependencies:
absl-py
numpy
scipy
safetensors
multipledispatch
transformers
kagglehub
tabulate
torch
(<2.14.0,>=2.4.0)
ai-edge-litert[model-utils]
(<2.3.0,>=2.2.0)
ai-edge-quantizer
(==0.9.*)
litert-converter
(==0.4.*)
torchao
(>=0.17.0)
jax
jaxtyping
fire
sentencepiece
rich
litert-lm-builder
(>=0.0.0.dev0)
pillow