Model: KBhandari11/vicuna_channel_3_human_aging_All
Author: KBhandari11
Pipeline: text-generation
Library: transformers
Tags: transformers, safetensors, llama, text-generation, 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, 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'], arxiv:1910.09700, text-generation-inference, endpoints_compatible, region:us
Card metadata: library_name: transformers
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, 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']
Likes: 1 | All-time downloads: 54
Created: 2025-06-03 03:41:32