Text Generation
Transformers
Safetensors
llama
model: llama
repo_name: llama_block_1_language_identification_Complete Random
file_name: llama_block_1_language_identification_Complete Random_5000_5.pt
pruning_style: block
community: 1
pruning_ratio: 20
dataset_label: language_identification
sparsity_ratio: 20
['tasksource/bigbench', 'language_identification']
finetune: Complete Random
modules_size: 27
modules: ['26_mlp.up', '18_mlp.down', '28_mlp.up', '15_attn.v', '16_attn.v', '9_gate', '19_gate', '20_mlp.down', '7_mlp.up', '7_mlp.down', '30_gate', '9_mlp.up', '16_mlp.up', '6_mlp.down', '10_attn.o', '4_gate', '3_attn.o', '11_attn.q', '21_attn.k', '14_gate', '26_gate', '21_mlp.down', '29_attn.k', '8_attn.q', '5_mlp.down', '22_mlp.down', '13_mlp.down']
rank: 1
tags: ['model: llama', 'repo_name: llama_block_1_language_identification_Complete Random', 'file_name: llama_block_1_language_identification_Complete Random_5000_5.pt', 'base_model: meta-llama/Llama-2-7b-hf', 'pruning_style: block', 'community: 1', 'pruning_ratio: 20', 'dataset_label: language_identification', 'sparsity_ratio: 20', "dataset: ['tasksource/bigbench', 'language_identification']", 'finetune: Complete Random', 'modules_size: 27', "modules: ['26_mlp.up', '18_mlp.down', '28_mlp.up', '15_attn.v', '16_attn.v', '9_gate', '19_gate', '20_mlp.down', '7_mlp.up', '7_mlp.down', '30_gate', '9_mlp.up', '16_mlp.up', '6_mlp.down', '10_attn.o', '4_gate', '3_attn.o', '11_attn.q', '21_attn.k', '14_gate', '26_gate', '21_mlp.down', '29_attn.k', '8_attn.q', '5_mlp.down', '22_mlp.down', '13_mlp.down']", 'rank: 1']
text-generation-inference
{ | |
"architectures": [ | |
"LlamaForCausalLM" | |
], | |
"attention_bias": false, | |
"attention_dropout": 0.0, | |
"bos_token_id": 1, | |
"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, | |
"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 | |
} | |