query-attention \ --num-query-groups 8" elif [ $MODEL_SIZE = 70B ]; then NUM_LAYERS=80 HIDDEN_SIZE=8192 NUM_ATTN_HEADS=64 INTERMEDIATE_SIZE=28672 gqa_options=" \ --group-query-attention \ --num-query-groups 8" elif [ $MODEL_SIZE = 175B ]; then NUM_LAYERS=96 HIDDEN_SIZE=12288...
mlp = nn.Linear(64, 10) def forward(self, x, key_padding_mask): x, _ = self.self_attention(query=x, key=x, value=x, need_weights=False, key_padding_mask=key_padding_mask) x = self.ln_1(x) x = self.mlp(x) return x block = EncoderBlock() params = list(block.parameters()...
a new building block with a sandwich layout(减少self-attention的次数):之前是一个block self-attention->fc->self-attention->fc->self-attention->fc->...N次数;现在是一个block fc->self-attention->fc;不仅能够提升内存效率而且能够增强通道间的计算 cascaded group attention:让多头串联学习特征:第一个头...