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Update main README.md with more current float8 speedup #816

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Sep 5, 2024
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Update main README.md with more current float8 speedup #816

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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -79,7 +79,7 @@ model = qat_quantizer.convert(model)

[torchao.float8](torchao/float8) implements training recipes with the scaled float8 dtypes, as laid out in https://arxiv.org/abs/2209.05433.

With ``torch.compile`` on, initial results show throughput speedups of up to **1.2x on small scale (8 GPUs) LLaMa pretraining jobs**. And you can validate the benchmarks [here](./torchao/float8/README.md#benchmarking)
With ``torch.compile`` on, current results show throughput speedups of up to **1.5x on 128 H100 GPU LLaMa 3 70B pretraining jobs** ([details](https://dev-discuss.pytorch.org/t/enabling-float8-all-gather-in-fsdp2/2359))

```python
from torchao.float8 import convert_to_float8_training
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