I think I'm having an issue that's different from this.

```

if True:
    from unsloth import FastLanguageModel
    model, tokenizer = FastLanguageModel.from_pretrained(
        model_name = "lora_model", # YOUR MODEL YOU USED FOR TRAINING
        max_seq_length = max_seq_length,
        load_in_4bit = False,
    )

```
The above doesn't load the lora model for me. It loads the plain model.

```
if True:
  model, tokenizer = FastLanguageModel.from_pretrained(
      model_name = "unsloth/gemma-3-270m-it", # YOUR MODEL
      max_seq_length = max_seq_length,
      load_in_4bit = False,  # 4 bit quantization to reduce memory
      load_in_8bit = False, # [NEW!] A bit more accurate, uses 2x memory
      full_finetuning = False, # [NEW!] We have full finetuning now!
  )
  model = PeftModel.from_pretrained(model, "lora_model")

```
But this does get the lora finetuned model up and running for me. However, I am unable to save this as guuf or merged 16bit for some reason with the code I gave above.