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

base = "Qwen/Qwen3-4B-Instruct-2507"
adapter = "your_id/your-repo"

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

Sources & Terms (IMPORTANT)

Training data: daichira/structured-5k-mix-sft

Dataset License: CC-BY-4.0. This dataset is used and distributed under the terms of the Creative Commons Attribution 4.0 International License. Compliance: Users must comply with the CC-BY-4.0 license (including attribution) and the base model's original terms of use.

noraaaaaaaaaaaaa/qwen3-4b-20260222-daichira-5k-LR2e-6

Training Objective

Training Configuration

Usage

Sources & Terms (IMPORTANT)

noraaaaaaaaaaaaa/
qwen3-4b-20260222-daichira-5k-LR2e-6