Model: KBhandari11/vicuna_channel_1_epistemic_reasoning_Complete_Random
Author: KBhandari11
Pipeline: text-generation
Library: transformers
Tags: transformers, safetensors, llama, text-generation, model: vicuna, repo_name: vicuna_channel_1_epistemic_reasoning_Complete Random, file_name: vicuna_channel_1_epistemic_reasoning_Complete Random_5000_5.pt, base_model: lmsys/vicuna-7b-v1.5, pruning_style: channel, community: 1, pruning_ratio: 20, dataset_label: epistemic_reasoning, sparsity_ratio: 20, dataset: ['tasksource/bigbench', 'epistemic_reasoning'], finetune: Complete Random, modules_size: 30, modules: ['24_gate', '29_attn.o', '30_mlp.up', '20_gate', '25_attn.k', '5_attn.q', '21_attn.k', '7_attn.q', '6_attn.o', '16_mlp.up', '10_mlp.down', '7_attn.v', '4_mlp.down', '6_attn.k', '28_attn.o', '30_attn.k', '3_mlp.up', '13_gate', '9_attn.q', '14_mlp.down', '13_attn.o', '19_gate', '26_mlp.up', '28_attn.q', '24_attn.q', '22_attn.k', '8_mlp.down', '18_attn.v', '21_attn.q', '3_attn.o'], rank: 2, tags: ['model: vicuna', 'repo_name: vicuna_channel_1_epistemic_reasoning_Complete Random', 'file_name: vicuna_channel_1_epistemic_reasoning_Complete Random_5000_5.pt', 'base_model: lmsys/vicuna-7b-v1.5', 'pruning_style: channel', 'community: 1', 'pruning_ratio: 20', 'dataset_label: epistemic_reasoning', 'sparsity_ratio: 20', "dataset: ['tasksource/bigbench', 'epistemic_reasoning']", 'finetune: Complete Random', 'modules_size: 30', "modules: ['24_gate', '29_attn.o', '30_mlp.up', '20_gate', '25_attn.k', '5_attn.q', '21_attn.k', '7_attn.q', '6_attn.o', '16_mlp.up', '10_mlp.down', '7_attn.v', '4_mlp.down', '6_attn.k', '28_attn.o', '30_attn.k', '3_mlp.up', '13_gate', '9_attn.q', '14_mlp.down', '13_attn.o', '19_gate', '26_mlp.up', '28_attn.q', '24_attn.q', '22_attn.k', '8_mlp.down', '18_attn.v', '21_attn.q', '3_attn.o']", 'rank: 2'], arxiv:1910.09700, text-generation-inference, endpoints_compatible, region:us
Card metadata: library_name: transformers
tags: model: vicuna, repo_name: vicuna_channel_1_epistemic_reasoning_Complete Random, file_name: vicuna_channel_1_epistemic_reasoning_Complete Random_5000_5.pt, base_model: lmsys/vicuna-7b-v1.5, pruning_style: channel, community: 1, pruning_ratio: 20, dataset_label: epistemic_reasoning, sparsity_ratio: 20, dataset: ['tasksource/bigbench', 'epistemic_reasoning'], finetune: Complete Random, modules_size: 30, modules: ['24_gate', '29_attn.o', '30_mlp.up', '20_gate', '25_attn.k', '5_attn.q', '21_attn.k', '7_attn.q', '6_attn.o', '16_mlp.up', '10_mlp.down', '7_attn.v', '4_mlp.down', '6_attn.k', '28_attn.o', '30_attn.k', '3_mlp.up', '13_gate', '9_attn.q', '14_mlp.down', '13_attn.o', '19_gate', '26_mlp.up', '28_attn.q', '24_attn.q', '22_attn.k', '8_mlp.down', '18_attn.v', '21_attn.q', '3_attn.o'], rank: 2, tags: ['model: vicuna', 'repo_name: vicuna_channel_1_epistemic_reasoning_Complete Random', 'file_name: vicuna_channel_1_epistemic_reasoning_Complete Random_5000_5.pt', 'base_model: lmsys/vicuna-7b-v1.5', 'pruning_style: channel', 'community: 1', 'pruning_ratio: 20', 'dataset_label: epistemic_reasoning', 'sparsity_ratio: 20', "dataset: ['tasksource/bigbench', 'epistemic_reasoning']", 'finetune: Complete Random', 'modules_size: 30', "modules: ['24_gate', '29_attn.o', '30_mlp.up', '20_gate', '25_attn.k', '5_attn.q', '21_attn.k', '7_attn.q', '6_attn.o', '16_mlp.up', '10_mlp.down', '7_attn.v', '4_mlp.down', '6_attn.k', '28_attn.o', '30_attn.k', '3_mlp.up', '13_gate', '9_attn.q', '14_mlp.down', '13_attn.o', '19_gate', '26_mlp.up', '28_attn.q', '24_attn.q', '22_attn.k', '8_mlp.down', '18_attn.v', '21_attn.q', '3_attn.o']", 'rank: 2']
Likes: 1 | All-time downloads: 51
Created: 2025-06-03 02:35:03