Will you please guide how to run the conversion script?

[AayushSameerShah]

Hie 👋🏻
Coming from this GGML conversion script and the issue that you commented in ggml-org/ggml#280 (comment)

Now...

I have a fine-tuned model found on huggingface called "NumbersStation/nsql-350M" which basically is a CodeGen model so I will need to convert into GPT-J model so that I can convert into GGML.

Conversion in GPT-J

I have used this script: https://gist.github.com/moyix/7896575befbe1b99162ccfec8d135566
To convert the CodeGen model into GPT-J which worked correctly.

Then...

After converting into GPT-J, I tried to use the GGML script but was getting:

KeyError                                  Traceback (most recent call last)
Cell In[42], line 2
      1 for key in encoder:
----> 2     text = bytearray([byte_decoder[c] for c in key])
      3     fout.write(struct.pack("i", len(text)))
      4     fout.write(text)

Cell In[42], line 2, in <listcomp>(.0)
      1 for key in encoder:
----> 2     text = bytearray([byte_decoder[c] for c in key])
      3     fout.write(struct.pack("i", len(text)))
      4     fout.write(text)

KeyError: '\t'

So, I came to this repo

Where I found this: https://github.com/LLukas22/llm-rs-python/blob/main/llm_rs/convert/models/gptj.py

But... can't figureout how to convert my GPT-J model to GGML

Will you please help @LLukas22 ?
Thanks 🙏🏻

[LLukas22]

Im pretty sure that either your model isn't a fully compatible GPT-J model or there are differenzes in the tokenizer. Have you tried to load you GPT-J converted model with the GPT-J implementation of transformers and did it work? Creating conversion scripts is actually very easy as you just have to map the tensor names to the tensor names ggml expectes. Maybe upload the GPT-J converted model.