After Fintune lora. apply chat_template

[HERIUN]

Hi. I appreciate your great work.

I fintuned llama-3.2-1B base model using my custom data

litgpt finetune_lora "meta-llama/Llama-3.2-1B" \
 --data JSON \
 --data.json_path /data/donggukang/litgpt/OpenMathInstruct-2-1K_litgpt_format.json \
 --data.val_split_fraction 0.1

The base model repository doesn't have a chat_template defined in its tokenizer_config.json

However, during LoRA fine-tuning, I applied Alpaca template(as a default)

After the LoRA fine-tuning was completed, the prompt_style.yaml file contains the chat template(called in prompt_style), but the tokenizer_config.json still has the same configuration as the base model (i.e., without a chat_template).

Will this cause any issues when loading HF-converted model?
(I think tokenizer_config.json's chat_template must be edited by trained prompt_style..)