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D2I-CUHK-Shenzhen/FormStruct-Bench-SFT
FormStruct-Bench-SFT is a image-text-to-text model from D2I-CUHK-Shenzhen. Use it for the image-text-to-text 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.
FormStruct-Bench-SFT is a PEFT LoRA adapter for Qwen/Qwen3.6-35B-A3B. It is fine-tuned on synthetic FormStruct training data for structured form understanding from document images.
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From the Hugging Face model README
FormStruct-Bench-SFT is a PEFT LoRA adapter for
Qwen/Qwen3.6-35B-A3B.
It is fine-tuned on synthetic FormStruct training data for structured form
understanding from document images.
import torch
from peft import PeftModel
from transformers import AutoModelForImageTextToText, AutoProcessor
base_id = "Qwen/Qwen3.6-35B-A3B"
adapter_id = "D2I-CUHK-Shenzhen/FormStruct-Bench-SFT"
processor = AutoProcessor.from_pretrained(adapter_id, trust_remote_code=True)
base_model = AutoModelForImageTextToText.from_pretrained(
base_id,
dtype=torch.bfloat16,
device_map="auto",
trust_remote_code=True,
)
model = PeftModel.from_pretrained(base_model, adapter_id)
model.eval()
Apache-2.0, following the base model license. See LICENSE.