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Copy file name to clipboardExpand all lines: _posts/2025-11-10-bitwise-consistent-train-inference.md
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@@ -70,5 +70,5 @@ Note that we did not use `torch.compile` for the TorchTitan model, and thus enfo
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While building this, testing was straightforward as we are able to use exact bitwise checks to ensure the forward logprobs and the perplexity generated by the trainer are identical. We will continue to improve the performance of vLLM and simplify the integration to support all TorchTitan models. To follow this work, please see the linked RFC: [#28326](https://github.com/vllm-project/vllm/issues/28326).
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