Instructions to use Julian2002/PDP-Qwen3-8B-SFT-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Julian2002/PDP-Qwen3-8B-SFT-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("models/Qwen3-8B") model = PeftModel.from_pretrained(base_model, "Julian2002/PDP-Qwen3-8B-SFT-LoRA") - Notebooks
- Google Colab
- Kaggle
PDP Qwen3-8B RQ3 SFT LoRA Adapter
Model Summary
This repository contains an RQ3 supervised fine-tuning LoRA adapter for prosecution decision prediction (PDP) experiments based on Qwen/Qwen3-8B.
- Repository:
Julian2002/PDP-Qwen3-8B-SFT-LoRA - Source directory:
RQ3_SFT_Qwen3-8B_train_seed42_original - Upload mode:
adapter_only - Dataset:
PDP-Bench / pdp2k_rq3_sft
Task
Given suspect information, procedural information, and factual information, the model is trained to generate structured prosecutorial reasoning and a final decision in the PDP setting.
The target decision space contains four labels:
起诉相对不起诉法定不起诉存疑不起诉
Training Output Format
The supervised target follows the native Qwen3-style format used in this project:
<think>
...
</think>
【适用法条】
刑法:...
刑事诉讼法:...
刑事诉讼规则:...
【审查分析】
...
【最终结论】
决定:...
Loading
This repository stores a LoRA adapter, not a merged standalone base model. Load it together with Qwen/Qwen3-8B, or merge it into the base model before standalone inference or vLLM evaluation.
Notes
This model card was generated automatically by scripts/upload_RQ3_sft_checkpoint_to_hf.sh.
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