llama.cpp: Could not find tokenizer.model in llama2

When I ran this command:

python convert.py \
    llama2-summarizer-id-2/final_merged_checkpoint \
    --outtype f16 \
    --outfile llama2-summarizer-id-2/final_merged_checkpoint/llama2-summarizer-id-2.gguf.fp16.bin

I encountered the following error:

Loading model file llama2-summarizer-id-2/final_merged_checkpoint/model-00001-of-00002.safetensors
Loading model file llama2-summarizer-id-2/final_merged_checkpoint/model-00001-of-00002.safetensors
Loading model file llama2-summarizer-id-2/final_merged_checkpoint/model-00002-of-00002.safetensors
params = Params(n_vocab=32000, n_embd=4096, n_layer=32, n_ctx=4096, n_ff=11008, n_head=32, n_head_kv=32, f_norm_eps=1e-05, f_rope_freq_base=None, f_rope_scale=None, ftype=<GGMLFileType.MostlyF16: 1>, path_model=PosixPath('llama2-summarizer-id-2/final_merged_checkpoint'))
Traceback (most recent call last):
  File "llama.cpp/convert.py", line 1209, in <module>
    main()
  File "llama.cpp/convert.py", line 1191, in main
    vocab = load_vocab(vocab_dir, args.vocabtype)
  File "llama.cpp/convert.py", line 1092, in load_vocab
    raise FileNotFoundError(
FileNotFoundError: Could not find tokenizer.model in llama2-summarizer-id-2/final_merged_checkpoint or its parent; if it's in another directory, pass the directory as --vocab-dir

After training the llama2 model, I do not have a “tokenizer.model” file. Instead, the model directory contains the following files:

$ ls llama2-summarizer-id-2/final_merged_checkpoint/
config.json             model-00001-of-00002.safetensors  model.safetensors.index.json  tokenizer_config.json
generation_config.json  model-00002-of-00002.safetensors  special_tokens_map.json       tokenizer.json

What should I do to resolve this issue?

*note: i follow this tutorial for finetuning https://blog.ovhcloud.com/fine-tuning-llama-2-models-using-a-single-gpu-qlora-and-ai-notebooks/