torch.nn.LSTM is a recurrent network with three gates: forget, input, and output. It solves the vanishing gradient problem of standard RNNs and can learn long-range dependencies. It is widely used in ...
GritLM-7B 7B parameter model that uses bidirectional attention for embedding and causal attention for generation. It is finetuned from Mistral-7B 66.8 55.5 GritLM-8x7B 8x7B parameter model that uses ...
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