qwen3-4b-structured-output-lora-pre-study.1ya

from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel
import torch

base = "unsloth/Qwen3-4B-Instruct-2507"
adapter = "Orifusa/qwen3-4b-structured-output-lora-pre-study.1ya"

tokenizer = AutoTokenizer.from_pretrained(base)
model = AutoModelForCausalLM.from_pretrained(
    base,
    torch_dtype=torch.float16,
    device_map="auto",
)
model = PeftModel.from_pretrained(model, adapter)

## Sources & License (IMPORTANT)
Training Data: u-10bei/structured_data_with_cot_dataset_512_v2
Dataset License: Creative Commons Attribution (CC-BY-4.0). This dataset is used and can be redistributed under the terms of the CC-BY-4.0 license.
Compliance: Users must comply with both the dataset's attribution requirements and the base model's original terms of use.