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ashadal7
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Model Details
Model Provider
ashadal7
Model Tree
Qwen/Qwen2.5-0.5B
Input Modalities
Output Modalities
Supported Functionality
LoRA adapter for Qwen/Qwen2.5-0.5B, trained for Assignment 1 (Fine-Tune, Sanitize, Extract) of ELL8299/COL8383/COL873 Trustworthy LLMs, IIT Delhi. Training data is the course-provided synthetic ai4privacy / corpus bundle.
Part C victim V-raw: Qwen2.5-0.5B (base) fine-tuned as a causal LM on the raw synthetic PII corpus (LoRA r=32, alpha=64, 4 epochs). Research artefact for extraction-attack evaluation.
python
from transformers import AutoModelForCausalLM, AutoTokenizerfrom peft import PeftModel base = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-0.5B")tok = AutoTokenizer.from_pretrained("Qwen/Qwen2.5-0.5B")model = PeftModel.from_pretrained(base, "ashadal7/trustworthy-llms-a1-victim_raw")