meta-pytorch/torchtune
PyTorch native post-training library
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Latest capture 2026-07-16 03:04
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Scanned 2026-07-16 03:04
CMakeLists.txt
c-cpp ecosystem,
2 dependencies
Package.swift
swift ecosystem,
7 dependencies
pyproject.toml
python ecosystem,
14 dependencies
requirements-dev.txt
python ecosystem,
16 dependencies
requirements-examples.txt
python ecosystem,
5 dependencies
requirements-lintrunner.txt
python ecosystem,
20 dependencies
setup.py
python ecosystem,
0 dependencies
configurations/CMakeLists.txt
c-cpp ecosystem,
0 dependencies
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PyTorch native post-training library
A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.
A PyTorch native platform for training generative AI models
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