Misc. bug: error when converting lora to gguf (ERROR:lora-to-gguf:Unexpected name 'base_model.model.lm_head.weight': Not a lora_A or lora_B tensor)

[Leeeef552]

Name and Version

$ ./llama-cli --version
version: 2999 (42b4109e)
built with cc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 for x86_64-linux-gnu

Operating systems

Linux

Which llama.cpp modules do you know to be affected?

Python/Bash scripts

Command line

Problem description & steps to reproduce

Hi all i was trying to convert my lora adapters to gguf using the convert-lora-to-gguf.py scrand faced this error.

i finetuned using axolotl.

First Bad Commit

No response

Relevant log output

INFO:lora-to-gguf:Loading base model from Hugging Face: NousResearch/Meta-Llama-3.1-8B-Instruct
DEBUG:urllib3.connectionpool:Starting new HTTPS connection (1): huggingface.co:443
DEBUG:urllib3.connectionpool:https://huggingface.co:443 "HEAD /NousResearch/Meta-Llama-3.1-8B-Instruct/resolve/main/config.json HTTP/1.1" 200 0
INFO:gguf.gguf_writer:gguf: This GGUF file is for Little Endian only
INFO:lora-to-gguf:Exporting model...
ERROR:lora-to-gguf:Unexpected name 'base_model.model.lm_head.weight': Not a lora_A or lora_B tensor
ERROR:lora-to-gguf:Embeddings is present in the adapter. This can be due to new tokens added during fine tuning
ERROR:lora-to-gguf:Please refer to https://github.com/ggerganov/llama.cpp/pull/9948