Blog Posts | Joshua Berkowitz

2 Articles

QAT ×

TorchAO: A PyTorch-Native Shortcut To Smaller, Faster Models

TorchAO is PyTorch's native toolkit for model efficiency: it unifies post-training quantization (PTQ), quantization-aware training (QAT), float8 (FP8) training, and structured sparsity in one coherent...

deep learning FP8 model efficiency open source PyTorch QAT quantization sparsity TorchAO

Nov 4, 2025

0 2090

Github Repos

Boosting Low-Precision AI: Fine-Tuning GPT-OSS with Quantization-Aware Training

Deploying large language models requires balancing accuracy and efficiency , a challenge that intensifies as demand for high-throughput generative AI grows. The open-source gpt-oss model, featuring a ...

AI deployment fine-tuning gpt-oss low precision model optimization NVIDIA QAT quantization

Sep 10, 2025

0 16236

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