Run Phi3.5's "longrope" RoPE scaling type to make Phi3.5 compatible

[BBC-Esq]

When running the conversion command it gives me the following error:

ERROR

Starting conversion for bfloat16 with command:
ct2-transformers-converter --model "D:/Scripts/bench_chat/models/Phi-3.5-mini-instruct" --output_dir "D:/Scripts/bench_chat/models\Phi-3.5-mini-instruct-ct2-bfloat16" --quantization bfloat16 --low_cpu_mem_usage --trust_remote_code --copy_files ".cache" "added_tokens.json" "CODE_OF_CONDUCT.md" "configuration_phi3.py" "generation_config.json" "LICENSE" "model.safetensors.index.json" "modeling_phi3.py" "NOTICE.md" "README.md" "SECURITY.md" "special_tokens_map.json" "tokenizer.json" "tokenizer.model" "tokenizer_config.json"
Command failed with return code 1: 
Loading checkpoint shards:   0%|          | 0/2 [00:00<?, ?it/s]
Loading checkpoint shards: 100%|##########| 2/2 [00:00<00:00, 23.81it/s]
Traceback (most recent call last):
  File "<frozen runpy>", line 198, in _run_module_as_main
  File "<frozen runpy>", line 88, in _run_code
  File "D:\Scripts\bench_chat\Scripts\ct2-transformers-converter.exe\__main__.py", line 7, in <module>
  File "D:\Scripts\bench_chat\Lib\site-packages\ctranslate2\converters\transformers.py", line 2482, in main
    converter.convert_from_args(args)
  File "D:\Scripts\bench_chat\Lib\site-packages\ctranslate2\converters\converter.py", line 50, in convert_from_args
    return self.convert(
           ^^^^^^^^^^^^^
  File "D:\Scripts\bench_chat\Lib\site-packages\ctranslate2\converters\converter.py", line 89, in convert
    model_spec = self._load()
                 ^^^^^^^^^^^^
  File "D:\Scripts\bench_chat\Lib\site-packages\ctranslate2\converters\transformers.py", line 148, in _load
    spec = loader(model, tokenizer)
           ^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\Scripts\bench_chat\Lib\site-packages\ctranslate2\converters\transformers.py", line 200, in __call__
    spec = self.get_model_spec(model)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\Scripts\bench_chat\Lib\site-packages\ctranslate2\converters\transformers.py", line 1962, in get_model_spec
    raise NotImplementedError(
NotImplementedError: RoPE scaling type 'longrope' is not yet implemented. The following RoPE scaling types are currently supported: linear, su, llama3

Here are some references if it helps!

https://github.com/huggingface/transformers/blob/2e24ee4dfa39cc0bc264b89edbccc373c8337086/src/transformers/modeling_rope_utils.py#L242

https://github.com/huggingface/transformers/blob/2e24ee4dfa39cc0bc264b89edbccc373c8337086/src/transformers/models/phi3/modeling_phi3.py#L251

https://github.com/huggingface/transformers/blob/2e24ee4dfa39cc0bc264b89edbccc373c8337086/src/transformers/models/phi3/configuration_phi3.py#L79

https://arxiv.org/html/2402.13753v1