Text Generation
Transformers
Safetensors
llama
model: llama_chat
repo_name: llama_chat_channel_2_analytic_entailment_Complete Random
file_name: llama_chat_channel_2_analytic_entailment_Complete Random_5000_5.pt
pruning_style: channel
community: 2
pruning_ratio: 20
dataset_label: analytic_entailment
sparsity_ratio: 20
['tasksource/bigbench', 'analytic_entailment']
finetune: Complete Random
modules_size: 33
modules: ['25_attn.o', '15_mlp.down', '12_attn.k', '7_mlp.down', '6_attn.o', '27_attn.v', '6_gate', '26_mlp.down', '4_attn.o', '9_gate', '9_mlp.down', '28_attn.o', '5_attn.k', '6_attn.k', '3_mlp.down', '27_mlp.up', '26_gate', '4_attn.q', '9_attn.q', '13_mlp.up', '9_mlp.up', '3_attn.o', '21_attn.k', '15_mlp.up', '17_attn.v', '3_attn.k', '11_attn.k', '5_gate', '3_attn.q', '10_attn.q', '15_attn.k', '30_attn.q', '24_mlp.up']
rank: 2
tags: ['model: llama_chat', 'repo_name: llama_chat_channel_2_analytic_entailment_Complete Random', 'file_name: llama_chat_channel_2_analytic_entailment_Complete Random_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: Complete Random', 'modules_size: 33', "modules: ['25_attn.o', '15_mlp.down', '12_attn.k', '7_mlp.down', '6_attn.o', '27_attn.v', '6_gate', '26_mlp.down', '4_attn.o', '9_gate', '9_mlp.down', '28_attn.o', '5_attn.k', '6_attn.k', '3_mlp.down', '27_mlp.up', '26_gate', '4_attn.q', '9_attn.q', '13_mlp.up', '9_mlp.up', '3_attn.o', '21_attn.k', '15_mlp.up', '17_attn.v', '3_attn.k', '11_attn.k', '5_gate', '3_attn.q', '10_attn.q', '15_attn.k', '30_attn.q', '24_mlp.up']", 'rank: 2']
text-generation-inference
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Upload LlamaForCausalLM
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---
library_name: transformers
tags:
- 'model: llama_chat'
- 'repo_name: llama_chat_channel_2_analytic_entailment_Complete Random'
- 'file_name: llama_chat_channel_2_analytic_entailment_Complete Random_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: Complete Random'
- 'modules_size: 33'
- 'modules: [''25_attn.o'', ''15_mlp.down'', ''12_attn.k'', ''7_mlp.down'', ''6_attn.o'',
''27_attn.v'', ''6_gate'', ''26_mlp.down'', ''4_attn.o'', ''9_gate'', ''9_mlp.down'',
''28_attn.o'', ''5_attn.k'', ''6_attn.k'', ''3_mlp.down'', ''27_mlp.up'', ''26_gate'',
''4_attn.q'', ''9_attn.q'', ''13_mlp.up'', ''9_mlp.up'', ''3_attn.o'', ''21_attn.k'',
''15_mlp.up'', ''17_attn.v'', ''3_attn.k'', ''11_attn.k'', ''5_gate'', ''3_attn.q'',
''10_attn.q'', ''15_attn.k'', ''30_attn.q'', ''24_mlp.up'']'
- 'rank: 2'
- 'tags: [''model: llama_chat'', ''repo_name: llama_chat_channel_2_analytic_entailment_Complete
Random'', ''file_name: llama_chat_channel_2_analytic_entailment_Complete Random_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:
Complete Random'', ''modules_size: 33'', "modules: [''25_attn.o'', ''15_mlp.down'',
''12_attn.k'', ''7_mlp.down'', ''6_attn.o'', ''27_attn.v'', ''6_gate'', ''26_mlp.down'',
''4_attn.o'', ''9_gate'', ''9_mlp.down'', ''28_attn.o'', ''5_attn.k'', ''6_attn.k'',
''3_mlp.down'', ''27_mlp.up'', ''26_gate'', ''4_attn.q'', ''9_attn.q'', ''13_mlp.up'',
''9_mlp.up'', ''3_attn.o'', ''21_attn.k'', ''15_mlp.up'', ''17_attn.v'', ''3_attn.k'',
''11_attn.k'', ''5_gate'', ''3_attn.q'', ''10_attn.q'', ''15_attn.k'', ''30_attn.q'',
''24_mlp.up'']", ''rank: 2'']'
---
# Model Card for Model ID
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