performing continuous pretraining and then finetuning causes error about litgpt HOT 3 OPEN

...
Seed set to 42
Time to instantiate model: 0.13 seconds.
Total parameters: 14,067,712
Validating ...
Measured TFLOPs: 0.10
Saving checkpoint to '/teamspace/studios/this_studio/my_test_dir/final/lit_model.pth'
Training time: 24.14s
Memory used: 1.44 GB

RuntimeError: Error(s) in loading state_dict for GPT:
        Missing key(s) in state_dict: "lm_head.weight", "transformer.wte.weight", "transformer.h.0.norm_1.weight", "transformer.h.0.norm_1.bias", "transformer.h.0.attn.attn.weight", "transformer.h.0.attn.attn.bias", "transformer.h.0.attn.proj.weight", "transformer.h.0.attn.proj.bias", "transformer.h.0.norm_2.weight", "transformer.h.0.norm_2.bias", "transformer.h.0.mlp.fc.weight",
...

ls  /teamspace/studios/this_studio/my_test_dir/final

config.json  generation_config.json  hyperparameters.yaml  lit_model.pth  model_config.yaml  tokenizer.json  tokenizer_config.json

litgpt finetune full \
    --checkpoint_dir /teamspace/studios/this_studio/my_test_dir/final \
    --train.max_seq_length 64 \
    --train.max_steps 5

...
Epoch 1 | iter 73 step 4 | loss train: 10.978, val: n/a | iter time: 15.70 ms
Epoch 1 | iter 74 step 4 | loss train: 10.972, val: n/a | iter time: 15.56 ms
Epoch 1 | iter 75 step 4 | loss train: 10.967, val: n/a | iter time: 15.70 ms
Epoch 1 | iter 76 step 4 | loss train: 10.960, val: n/a | iter time: 16.08 ms
Epoch 1 | iter 77 step 4 | loss train: 10.961, val: n/a | iter time: 16.31 ms
Epoch 1 | iter 78 step 4 | loss train: 10.957, val: n/a | iter time: 16.12 ms
Epoch 1 | iter 79 step 4 | loss train: 10.944, val: n/a | iter time: 15.83 ms
Epoch 1 | iter 80 step 5 | loss train: 10.931, val: n/a | iter time: 18.52 ms (step)
Training time: 20.99s
Memory used: 0.31 GB