Text Generation
Transformers
Safetensors
llama
model: vicuna
repo_name: vicuna_block_2_unit_interpretation_Community
file_name: vicuna_block_2_unit_interpretation_Community_5000_5.pt
pruning_style: block
community: 2
pruning_ratio: 20
dataset_label: unit_interpretation
sparsity_ratio: 20
['tasksource/bigbench', 'unit_interpretation']
finetune: Community
modules_size: 21
modules: ['11_attn.o', '12_attn.q', '15_attn.k', '15_attn.v', '16_attn.q', '16_attn.v', '17_attn.q', '18_attn.v', '19_attn.q', '21_attn.o', '22_attn.o', '26_attn.k', '26_attn.o', '27_attn.o', '30_attn.o', '30_attn.v', '4_attn.o', '7_attn.o', '7_attn.q', '8_attn.v', '9_attn.k']
rank: 2
tags: ['model: vicuna', 'repo_name: vicuna_block_2_unit_interpretation_Community', 'file_name: vicuna_block_2_unit_interpretation_Community_5000_5.pt', 'base_model: lmsys/vicuna-7b-v1.5', 'pruning_style: block', 'community: 2', 'pruning_ratio: 20', 'dataset_label: unit_interpretation', 'sparsity_ratio: 20', "dataset: ['tasksource/bigbench', 'unit_interpretation']", 'finetune: Community', 'modules_size: 21', "modules: ['11_attn.o', '12_attn.q', '15_attn.k', '15_attn.v', '16_attn.q', '16_attn.v', '17_attn.q', '18_attn.v', '19_attn.q', '21_attn.o', '22_attn.o', '26_attn.k', '26_attn.o', '27_attn.o', '30_attn.o', '30_attn.v', '4_attn.o', '7_attn.o', '7_attn.q', '8_attn.v', '9_attn.k']", 'rank: 2']
text-generation-inference
{ | |
"architectures": [ | |
"LlamaForCausalLM" | |
], | |
"attention_bias": false, | |
"attention_dropout": 0.0, | |
"bos_token_id": 1, | |
"do_sample": null, | |
"eos_token_id": 2, | |
"head_dim": 128, | |
"hidden_act": "silu", | |
"hidden_size": 4096, | |
"initializer_range": 0.02, | |
"intermediate_size": 11008, | |
"max_position_embeddings": 4096, | |
"mlp_bias": false, | |
"model_type": "llama", | |
"num_attention_heads": 32, | |
"num_hidden_layers": 32, | |
"num_key_value_heads": 32, | |
"pad_token_id": 0, | |
"pretraining_tp": 1, | |
"rms_norm_eps": 1e-05, | |
"rope_scaling": null, | |
"rope_theta": 10000.0, | |
"tie_word_embeddings": false, | |
"torch_dtype": "float32", | |
"transformers_version": "4.52.4", | |
"use_cache": true, | |
"vocab_size": 32000 | |
} | |