Loss is applied only to the final assistant output,
while intermediate reasoning (Chain-of-Thought) is masked.
1from transformers import AutoModelForCausalLM, AutoTokenizer
2from peft import PeftModel
3import torch
4
5base = "unsloth/Qwen3-4B-Instruct-2507"
6adapter = "your_id/your-repo"
7
8tokenizer = AutoTokenizer.from_pretrained(base)
9model = AutoModelForCausalLM.from_pretrained(
10 base,
11 torch_dtype=torch.float16,
12 device_map="auto",
13)
14model = PeftModel.from_pretrained(model, adapter)
Dataset License: MIT License and CC BY 4.0.
u-10bei/structured_data_with_cot_dataset_512_v2 is licensed under the MIT License.
daichira/structured-5k-mix-sft and daichira/structured-hard-sft-4k is licensed under the CC BY 4.0 License.
