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vicuna_channel_3_human_aging_All

Text Generation

repo_name: vicuna_channel_3_human_aging_All

file_name: vicuna_channel_3_human_aging_All_5000_5.pt

pruning_style: channel

pruning_ratio: 20

dataset_label: human_aging

sparsity_ratio: 20

['tasksource/mmlu', 'human_aging']

modules_size: 38

modules: ['10_mlp.down', '11_attn.k', '13_attn.k', '15_attn.o', '16_attn.k', '16_attn.o', '16_attn.q', '17_attn.k', '17_gate', '18_attn.v', '19_attn.o', '20_mlp.down', '21_attn.k', '21_mlp.up', '22_gate', '22_mlp.down', '23_attn.k', '24_attn.q', '24_mlp.down', '25_attn.k', '25_gate', '26_attn.k', '26_attn.o', '26_gate', '28_attn.k', '28_attn.q', '28_mlp.down', '29_attn.q', '30_attn.k', '30_gate', '30_mlp.down', '30_mlp.up', '4_attn.v', '5_attn.q', '5_mlp.up', '7_attn.v', '8_attn.o', '9_attn.k']

tags: ['model: vicuna', 'repo_name: vicuna_channel_3_human_aging_All', 'file_name: vicuna_channel_3_human_aging_All_5000_5.pt', 'base_model: lmsys/vicuna-7b-v1.5', 'pruning_style: channel', 'community: 3', 'pruning_ratio: 20', 'dataset_label: human_aging', 'sparsity_ratio: 20', "dataset: ['tasksource/mmlu', 'human_aging']", 'finetune: All', 'modules_size: 38', "modules: ['10_mlp.down', '11_attn.k', '13_attn.k', '15_attn.o', '16_attn.k', '16_attn.o', '16_attn.q', '17_attn.k', '17_gate', '18_attn.v', '19_attn.o', '20_mlp.down', '21_attn.k', '21_mlp.up', '22_gate', '22_mlp.down', '23_attn.k', '24_attn.q', '24_mlp.down', '25_attn.k', '25_gate', '26_attn.k', '26_attn.o', '26_gate', '28_attn.k', '28_attn.q', '28_mlp.down', '29_attn.q', '30_attn.k', '30_gate', '30_mlp.down', '30_mlp.up', '4_attn.v', '5_attn.q', '5_mlp.up', '7_attn.v', '8_attn.o', '9_attn.k']", 'rank: 1']

text-generation-inference

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vicuna_channel_3_human_aging_All / model-00002-of-00006.safetensors

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