Text Generation
Transformers
Safetensors
llama
model: vicuna
repo_name: vicuna_channel_1_epistemic_reasoning_Complete Random
file_name: vicuna_channel_1_epistemic_reasoning_Complete Random_5000_5.pt
pruning_style: channel
community: 1
pruning_ratio: 20
dataset_label: epistemic_reasoning
sparsity_ratio: 20
['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']
text-generation-inference
- SHA256:
- ce992129f329a9f74bf269956a856ce0cec694779bc181d6ca0d9a4a709e12de
- Pointer size:
- 135 Bytes
- Size of remote file:
- 4.86 GB
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