Bug: missing option --vocab-type bpe in convert-hf-to-gguf.py

[gakugaku]

What happened?

README:

https://github.com/ggerganov/llama.cpp/blob/f578b86b2123d0f92afbaa98a031df4d4464e582/README.md?plain=1#L625-L626

Actual Output:

$ python convert-hf-to-gguf.py ./mymodels/ --vocab-type bpe
usage: convert-hf-to-gguf.py [-h] [--vocab-only] [--awq-path AWQ_PATH] [--outfile OUTFILE] [--outtype {f32,f16,bf16,q8_0,auto}] [--bigendian] [--use-temp-file] [--no-lazy] [--model-name MODEL_NAME] [--verbose] model
convert-hf-to-gguf.py: error: unrecognized arguments: --vocab-type bpe

Name and Version

$ ./llama-cli --version
version: 3143 (f578b86)
built with cc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0 for x86_64-linux-gnu

What operating system are you seeing the problem on?

Linux

Relevant log output

No response

[Galunid]

Hi, that's not a bug. convert-hf-to-gguf.py automatically detects which vocab should be used based on model. There's no need for --vocab-type anymore.

I'll fix the readme.

[cmp-nct]

Hi, that's not a bug. convert-hf-to-gguf.py automatically detects which vocab should be used based on model. There's no need for --vocab-type anymore.

I'll fix the readme.

Struggling with the same issue, trying to convert the minicpm-2.5 model which is dynamically generated (like llava-surgery) during the pre-conversion process. Forcing the tokenizer/model type should be an option available

In the same process I also got an error to trust remote code during get_vocab_base - from_pretrained()

[Galunid]

@cmp-nct Yup, convert-hf-to-gguf-update.py is a bit of a pain for models with new tokenizers. I replied in more details in #7599, but you can still use examples/convert-legacy-llama.py which is old convert.py script. We should add some sort of option for this though. I agree. I'll take a look at that tomorrow.