Text Generation
Transformers
Safetensors
llama
model: llama_chat
repo_name: llama_chat_channel_2_analytic_entailment_All
file_name: llama_chat_channel_2_analytic_entailment_All_5000_5.pt
pruning_style: channel
community: 2
pruning_ratio: 20
dataset_label: analytic_entailment
sparsity_ratio: 20
['tasksource/bigbench', 'analytic_entailment']
finetune: All
modules_size: 33
modules: ['10_gate', '13_attn.q', '14_attn.k', '14_mlp.down', '15_attn.o', '16_attn.o', '17_mlp.up', '18_attn.o', '18_attn.v', '18_mlp.up', '20_attn.o', '20_attn.v', '20_mlp.up', '21_mlp.down', '22_attn.o', '22_mlp.up', '23_attn.q', '23_gate', '23_mlp.down', '25_gate', '27_attn.k', '27_attn.o', '27_mlp.down', '29_attn.o', '29_gate', '30_mlp.up', '3_gate', '4_attn.v', '5_mlp.down', '7_gate', '8_attn.o', '8_gate', '9_attn.v']
rank: 2
tags: ['model: llama_chat', 'repo_name: llama_chat_channel_2_analytic_entailment_All', 'file_name: llama_chat_channel_2_analytic_entailment_All_5000_5.pt', 'base_model: meta-llama/Llama-2-7b-chat-hf', 'pruning_style: channel', 'community: 2', 'pruning_ratio: 20', 'dataset_label: analytic_entailment', 'sparsity_ratio: 20', "dataset: ['tasksource/bigbench', 'analytic_entailment']", 'finetune: All', 'modules_size: 33', "modules: ['10_gate', '13_attn.q', '14_attn.k', '14_mlp.down', '15_attn.o', '16_attn.o', '17_mlp.up', '18_attn.o', '18_attn.v', '18_mlp.up', '20_attn.o', '20_attn.v', '20_mlp.up', '21_mlp.down', '22_attn.o', '22_mlp.up', '23_attn.q', '23_gate', '23_mlp.down', '25_gate', '27_attn.k', '27_attn.o', '27_mlp.down', '29_attn.o', '29_gate', '30_mlp.up', '3_gate', '4_attn.v', '5_mlp.down', '7_gate', '8_attn.o', '8_gate', '9_attn.v']", 'rank: 2']
text-generation-inference
library_name: transformers | |
tags: | |
- 'model: llama_chat' | |
- 'repo_name: llama_chat_channel_2_analytic_entailment_All' | |
- 'file_name: llama_chat_channel_2_analytic_entailment_All_5000_5.pt' | |
- 'base_model: meta-llama/Llama-2-7b-chat-hf' | |
- 'pruning_style: channel' | |
- 'community: 2' | |
- 'pruning_ratio: 20' | |
- 'dataset_label: analytic_entailment' | |
- 'sparsity_ratio: 20' | |
- 'dataset: [''tasksource/bigbench'', ''analytic_entailment'']' | |
- 'finetune: All' | |
- 'modules_size: 33' | |
- 'modules: [''10_gate'', ''13_attn.q'', ''14_attn.k'', ''14_mlp.down'', ''15_attn.o'', | |
''16_attn.o'', ''17_mlp.up'', ''18_attn.o'', ''18_attn.v'', ''18_mlp.up'', ''20_attn.o'', | |
''20_attn.v'', ''20_mlp.up'', ''21_mlp.down'', ''22_attn.o'', ''22_mlp.up'', ''23_attn.q'', | |
''23_gate'', ''23_mlp.down'', ''25_gate'', ''27_attn.k'', ''27_attn.o'', ''27_mlp.down'', | |
''29_attn.o'', ''29_gate'', ''30_mlp.up'', ''3_gate'', ''4_attn.v'', ''5_mlp.down'', | |
''7_gate'', ''8_attn.o'', ''8_gate'', ''9_attn.v'']' | |
- 'rank: 2' | |
- 'tags: [''model: llama_chat'', ''repo_name: llama_chat_channel_2_analytic_entailment_All'', | |
''file_name: llama_chat_channel_2_analytic_entailment_All_5000_5.pt'', ''base_model: | |
meta-llama/Llama-2-7b-chat-hf'', ''pruning_style: channel'', ''community: 2'', ''pruning_ratio: | |
20'', ''dataset_label: analytic_entailment'', ''sparsity_ratio: 20'', "dataset: | |
[''tasksource/bigbench'', ''analytic_entailment'']", ''finetune: All'', ''modules_size: | |
33'', "modules: [''10_gate'', ''13_attn.q'', ''14_attn.k'', ''14_mlp.down'', ''15_attn.o'', | |
''16_attn.o'', ''17_mlp.up'', ''18_attn.o'', ''18_attn.v'', ''18_mlp.up'', ''20_attn.o'', | |
''20_attn.v'', ''20_mlp.up'', ''21_mlp.down'', ''22_attn.o'', ''22_mlp.up'', ''23_attn.q'', | |
''23_gate'', ''23_mlp.down'', ''25_gate'', ''27_attn.k'', ''27_attn.o'', ''27_mlp.down'', | |
''29_attn.o'', ''29_gate'', ''30_mlp.up'', ''3_gate'', ''4_attn.v'', ''5_mlp.down'', | |
''7_gate'', ''8_attn.o'', ''8_gate'', ''9_attn.v'']", ''rank: 2'']' | |
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