UnboundLocalError: local variable 'logger' referenced before assignment`

[pyrotank41]

running the following code
model.push_to_hub_gguf("pyrotank41/llama_8b_lora_escrow_merged", tokenizer, quantization_method = "q4_k_m", token = hf_tokens)

in alpaca-llama-8b finetuing notebook

is giving me the following error, can someone help me fix this?

`UnboundLocalError Traceback (most recent call last)
in <cell line: 11>()
9 # Save to q4_k_m GGUF
10 if False: model.save_pretrained_gguf("model", tokenizer, quantization_method = "q4_k_m")
---> 11 if True: model.push_to_hub_gguf("pyrotank41/llama_8b_lora_escrow_merged", tokenizer, quantization_method = "q4_k_m", token = hf_tokens)

1 frames
/usr/local/lib/python3.10/dist-packages/unsloth/save.py in save_to_gguf(model_type, model_directory, quantization_method, first_conversion, _run_installer)
845 _run_installer = None, # Non blocking install of llama.cpp
846 ):
--> 847 logger.warning(
848 "WARNING: llama.cpp GGUF conversion is currently unstable, since llama.cpp is\n"
849 "undergoing some major bug fixes as at 5th of May 2024. This is not an Unsloth issue.\n"\

UnboundLocalError: local variable 'logger' referenced before assignment`

[danielhanchen]

@pyrotank41 Whoops my bad - just fixed it!! You'll have to restart Colab / Kaggle or at the very top of the cell with

pip uninstall unsloth -y
pip install --upgrade --force-reinstall --no-cache-dir git+https://github.com/unslothai/unsloth.git

Local machines also need to update - sorry on the issue!