Describe the bug

I am trying to finetune an already quantized model (GPTQ) using ludwig but have been running into the following error:
AttributeError: 'BitsAndBytesConfig' object has no attribute 'get_loading_attributes'

To Reproduce

Steps to reproduce the behavior:
import yaml
config_str = """
model_type: llm
base_model: TheBloke/Llama-2-13B-GPTQ
quantization:
bits: 4
adapter:
type: lora
generation:
temperature: 0.1
max_new_tokens: 256
prompt:
template: |

Instruction:

{instruction}

### Input:
{input}

### Response:

input_features:

• name: prompt

type: text
preprocessing:
max_sequence_length: 256
output_features:

• name: output

type: text
preprocessing:
max_sequence_length: 256
trainer:
type: finetune
learning_rate: 0.0001
batch_size: 2
gradient_accumulation_steps: 3
epochs: 15
learning_rate_scheduler:
warmup_fraction: 0.01
preprocessing:
global_max_sequence_length: 512
split_probabilities: [0.9,0.1, 0.0]
sample_ratio: 1
"""
config = yaml.safe_load(config_str)
import logging
from ludwig.api import LudwigModel
model = LudwigModel(config=config, logging_level=logging.INFO)
results = model.train(dataset=df)

Expected behavior

A clear and concise description of what you expected to happen.

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Environment (please complete the following information):

• OS: [e.g. iOS]
• Version [e.g. 22]
• Python version
• Ludwig version
  Additional context

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