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qwen3-4b-structeval-orpo-v1
daichira/qwen3-4b-structeval-orpo-v1
qwen3-4b-structeval-orpo-v1 is a machine learning model from daichira. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
This is a LoRA adapter trained using ORPO (Odds Ratio Preference Optimization) to enforce strict JSON output formatting.
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Feb 23, 2026
- Updated
- Feb 23, 2026
- SHA
- ea18b6f3
Base models
Model card
From the Hugging Face model README
Qwen3-4B StructEval ORPO Adapter
This is a LoRA adapter trained using ORPO (Odds Ratio Preference Optimization) to enforce strict JSON output formatting.
Training Details
- Base Model: Qwen/Qwen3-4B-Instruct-2507 (Merged with initial SFT adapter)
- Training Algorithm: ORPO
- Objective: Improve adherence to structured output constraints (StructEval-T oriented) and suppress unrequested text/thinking processes.
- Hardware: Trained on Google Colab (T4 GPU).
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel
base_model_id = "Qwen/Qwen3-4B-Instruct-2507"
adapter_id = "daichira/qwen3-4b-structeval-orpo-v1"
tokenizer = AutoTokenizer.from_pretrained(adapter_id)
model = AutoModelForCausalLM.from_pretrained(base_model_id)
model = PeftModel.from_pretrained(model, adapter_id)
- Library
- peft
- License
- apache-2.0
- Created
- Feb 23, 2026
- Updated
- Feb 23, 2026