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qwen2.5-7b-prt-gdpr-structured-full-policy
josephimperial/qwen2.5-7b-prt-gdpr-structured-full-policy
qwen2.5-7b-prt-gdpr-structured-full-policy is a text generation model from josephimperial. Use it when you need the model to write or continue text. It is set up for transformers.
Qwen2.5-7B-Instruct fine-tuned on Policy Reasoning Traces (PRTs) for binary compliance assessment, as part of an EMNLP 2026 study.
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At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- qwen2
- Access
- Public
- Created
- Jun 6, 2026
- Updated
- Jun 6, 2026
- SHA
- 8324d2a5
Try a prompt
Base models
Model card
From the Hugging Face model README
qwen2.5-7b-prt-gdpr-structured-full-policy
Qwen2.5-7B-Instruct fine-tuned on Policy Reasoning Traces (PRTs) for binary compliance assessment, as part of an EMNLP 2026 study.
- Train domain:
gdpr— structured opus-authored PRTs (format isolated). - Cross-domain holdout: evaluate on the OTHER domain's held-out test set.
- Prompt format: no-policy zero-shot chain-of-thought; the model reasons step-by-step
and ends with
Final Verdict: COMPLIANTorFinal Verdict: NONCOMPLIANT.
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
tok = AutoTokenizer.from_pretrained("josephimperial/qwen2.5-7b-prt-gdpr-structured-full-policy")
model = AutoModelForCausalLM.from_pretrained("josephimperial/qwen2.5-7b-prt-gdpr-structured-full-policy", torch_dtype="bfloat16", device_map="auto")
msgs = [{"role": "user", "content": PROMPT}] # see prepare_data.build_prompt
- Task
- Text Generation
- Library
- transformers
- Type
- qwen2
- Created
- Jun 6, 2026
- Updated
- Jun 6, 2026