RWKV-7 (Goose)
RWKV-7, codenamed Goose, is an attention-free, RNN-style large-language-model architecture introduced in March 2025 that runs inference in linear time with constant memory per token while still training in…
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RWKV-7, codenamed Goose, is an attention-free, RNN-style large-language-model architecture introduced in March 2025 that runs inference in linear time with constant memory per token while still training in…
RetNet (Retentive Network) is a sequence-modeling architecture proposed by Microsoft Research and Tsinghua University in July 2023 as a successor to the Transformer for large language models.