Models trained with PARQ: https://arxiv.org/abs/2503.15748 using TorchAO
pytorch
non-profit
AI & ML interests
An open source machine learning framework that accelerates the path from research prototyping to production deployment.
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pytorch/gemma-3-12b-it-FP8
Image-Text-to-Text • Updated • 148 • 2 -
pytorch/gemma-3-12b-it-INT4
Image-Text-to-Text • 3B • Updated • 183 • 1 -
pytorch/gemma-3-12b-it-AWQ-INT4
Image-Text-to-Text • Updated • 4.99k • 1 -
pytorch/gemma-3-27b-it-FP8
Image-Text-to-Text • Updated • 105 • 3
TorchAO quantized Phi-4-mini-instruct models from PyTorch team, runnable in A100, H100 through vLLM and in mobile devices through ExecuTorch
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pytorch/Phi-4-mini-instruct-INT4
Text Generation • Updated • 40 • 1 -
pytorch/Phi-4-mini-instruct-FP8
Text Generation • Updated • 191 • 1 -
pytorch/Phi-4-mini-instruct-INT8-INT4
Text Generation • Updated • 4.38k • 3 -
pytorch/Phi-4-mini-instruct-AWQ-INT4
Text Generation • Updated • 168 • 4
Models trained with PARQ: https://arxiv.org/abs/2503.15748 using TorchAO
models quantized through quantization aware training from torchao
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pytorch/gemma-3-12b-it-FP8
Image-Text-to-Text • Updated • 148 • 2 -
pytorch/gemma-3-12b-it-INT4
Image-Text-to-Text • 3B • Updated • 183 • 1 -
pytorch/gemma-3-12b-it-AWQ-INT4
Image-Text-to-Text • Updated • 4.99k • 1 -
pytorch/gemma-3-27b-it-FP8
Image-Text-to-Text • Updated • 105 • 3
TorchAO quantized Qwen3 models from PyTorch team, runnable in A100, H100 through vLLM and in mobile devices through ExecuTorch
TorchAO quantized Phi-4-mini-instruct models from PyTorch team, runnable in A100, H100 through vLLM and in mobile devices through ExecuTorch
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pytorch/Phi-4-mini-instruct-INT4
Text Generation • Updated • 40 • 1 -
pytorch/Phi-4-mini-instruct-FP8
Text Generation • Updated • 191 • 1 -
pytorch/Phi-4-mini-instruct-INT8-INT4
Text Generation • Updated • 4.38k • 3 -
pytorch/Phi-4-mini-instruct-AWQ-INT4
Text Generation • Updated • 168 • 4