chunk_content: d
  peft_config = LoraConfig(
              r=8,
              lora_alpha=16,
              bias="none",
              task_type=TaskType.FEATURE_EXTRACTION,
              target_modules=["key", "query", "value"],
          )
  Here’s what a full set of script arguments may look like when running in Colab on a V100 GPU with standard RAM:
  
  
  	Copied
  accelerate launch \
  --mixed_precision="fp16" \
  peft_lora_embedding_semantic_search.py \
  --dataset_name="smangrul/a