How is the Multi-token Prediction method applied in practical scenarios?

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    2025-03-28T03:34:44+00:00

    The Multi-token Prediction method is applied in practical scenarios such as training large language models for improved sample efficiency and performance. It is particularly suitable for code generation tasks. Meta has released pre-trained models, including a 7B parameter model trained on 200B and 1T tokens, which can be used for code completion tasks. These models are available on platforms like Hugging Face.

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