| #!/usr/bin/bash |
| port="21304" |
| GPUs="0,1,2,3" |
|
|
| dataset="c4_val" |
| prune_data_type="pt" |
| n_calibration_samples=128 |
| seq_len=2048 |
|
|
| prune_method="layer_drop" |
| layer_drop_method="discrete" |
| target_layer="all" |
|
|
| drop_n=1 |
| num_epochs=8 |
|
|
| model_name=mistral-base |
| model_name_or_path=mistralai/Mistral-7B-v0.1 |
|
|
| for ((epoch=1; epoch<=num_epochs; epoch++)) do |
| layer_drop_method="discrete" |
| folder_name="Iterative-epoch${epoch}-${model_name}-${prune_method}-${target_layer}-${layer_drop_method}-drop${drop_n}PerEpoch" |
| similarity_cache_file="../results_prune/cache/Iterative-epoch${epoch}-${model_name}-drop_${target_layer}-${dataset}-${n_calibration_samples}samples.pt" |
| echo ${folder_name} |
| echo ${model_name_or_path} |
| output_dir=./results_prune/Iterative/${folder_name} |
| prune_model_save_path=${output_dir}/checkpoint |
|
|
| CUDA_VISIBLE_DEVICES=$GPUs accelerate launch --main_process_port $port \ |
| src/compress.py \ |
| --stage prune \ |
| --model_name_or_path ${model_name_or_path} \ |
| --dataset ${dataset} \ |
| --dataset_dir ./src/llmtuner/data \ |
| --split "train" \ |
| --prune_data_type ${prune_data_type} \ |
| --cutoff_len ${seq_len} \ |
| --layer_drop_norm True \ |
| --target_layer ${target_layer} \ |
| --output_dir ${output_dir} \ |
| --logging_steps 10 \ |
| --bf16 \ |
| --n_calibration_samples ${n_calibration_samples} \ |
| --prune_method ${prune_method} \ |
| --layer_drop_method ${layer_drop_method} \ |
| --drop_n ${drop_n} \ |
| --similarity_cache_file ${similarity_cache_file} \ |
| --prune_model_save_path ${prune_model_save_path} |
|
|
| |
| layer_drop_method="post_dropping" |
| |
| only_update_config=False |
|
|
| python src/compress.py \ |
| --stage prune \ |
| --model_name_or_path ${model_name_or_path} \ |
| --dataset ${dataset} \ |
| --dataset_dir ./src/llmtuner/data \ |
| --split "train" \ |
| --only_update_config $only_update_config \ |
| --layer_drop_norm True \ |
| --target_layer ${target_layer} \ |
| --prune_data_type ${prune_data_type} \ |
| --cutoff_len ${seq_len} \ |
| --output_dir ${output_dir} \ |
| --logging_steps 10 \ |
| --bf16 \ |
| --n_calibration_samples ${n_calibration_samples} \ |
| --prune_method ${prune_method} \ |
| --layer_drop_method ${layer_drop_method} \ |
| --drop_n ${drop_n} \ |
| --similarity_cache_file ${similarity_cache_file} \ |
| --prune_model_save_path ${prune_model_save_path} |
| model_name_or_path=$prune_model_save_path |
| done |
