Hello, could you please give me some advice on why the size of the TinyCLIP-ViT-39M-16-Text-19M.bin model I distilled is not 300mb but 900mb, thanks very much!!!

export NNODES=1
export GPUS_PER_NODE=1
export WANDB__SERVICE_WAIT=60
export CUDA_VISIBLE_DEVICES=5

DISTRIBUTED_ARGS="--nproc_per_node $GPUS_PER_NODE --nnodes $NNODES"
torchrun $DISTRIBUTED_ARGS src/training/main.py
--save-frequency 1
--report-to wandb
--train-data /home/gg/gg/MQBench-main/test/model/e1/split_2tar
--dataset-type webdataset
--imagenet-val ./ImageNet
--warmup 2000
--batch-size 1024
--epochs 25
--workers 8
--model TinyCLIP-ViT-39M-16-Text-19M
--name exp_name
--seed 0
--local-loss
--grad-checkpointing
--output ./outputs/TinyCLIP-ViT-39M-16-Text-19M
--lr 0.0001
--gather-with-grad
--pretrained-image-file ViT-B-16@openai
--pretrained-text-file ViT-B-16@openai
--distillation-teacher ViT-B-32@laion2b_e16
--norm_gradient_clip 5
--train-num-samples 15000000
--logit-scale 50