XLSTM: Extended Long Short-Term Memory

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NLP Natural Language Processing Pytorch language-model Tensorflow

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  • transformers

    🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

    • It seems Sepp Hochreiter has talked already about this model since Oct 2023: https://github.com/huggingface/transformers/issues/27011

    In the scaling law comparison, I wonder if it is reasonable to compare number of parameters between Llama, Mamba, RWKV, xLSTM? Isn't compute time more relevant? E.g. in the figure about scaling laws, replace num of params by compute time.

    It seems neither the code nor the model params are released. I wonder if that will follow.

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