Can't convert hugging face model to tl2 GGUF

long story short
want to use the bitnet model with quant type tl2
the default gguf model on hf is i2_s

converting the model to tl2 myself throws the following error (this after I changed the BitnetForCausalLM from n to capital N ofc)
python3 ./utils/generate-dummy-bitnet-model.py --outtype tl2 --outfile ./ggml-model-tl2.gguf path/to/model/bitnet-b1.58-2B-4T

Traceback (most recent call last):
  File "/home/shubh/BitNet/./utils/generate-dummy-bitnet-model.py", line 1048, in <module>
    main()
  File "/home/shubh/BitNet/./utils/generate-dummy-bitnet-model.py", line 979, in main
    model_instance.set_vocab()
  File "/home/shubh/BitNet/./utils/generate-dummy-bitnet-model.py", line 794, in set_vocab
    self._set_vocab_sentencepiece()
  File "/home/shubh/BitNet/./utils/generate-dummy-bitnet-model.py", line 441, in _set_vocab_sentencepiece
    raise FileNotFoundError(f"File not found: {tokenizer_path}")
FileNotFoundError: File not found: /home/shubh/BitNet/HFmodel/bitnet-b1.58-2B-4T/tokenizer.model

looking at the code the sentencepiece requires tokenizer.model not tokenizer.json

    def _set_vocab_sentencepiece(self):
        from sentencepiece import SentencePieceProcessor

        tokenizer_path = self.dir_model / 'tokenizer.model'

Want to know how can I make this work
Is the model directly available somewhere, or is there a better to to generate tl2?

Start in utils/generate-dummy-bitnet-model.py, especially set_vocab() and _set_vocab_sentencepiece(), and inspect the Hugging Face model directory for the tokenizer files it expects. Reproduce the command with the BitNet model and verify that conversion with --outtype tl2 completes and produces ggml-model-tl2.gguf.