VeNRA — LoRA Adapter

Fine-tuned LoRA adapter on Qwen/Qwen2.5-Coder-3B-Instruct for hallucination detection in RAG pipelines.

Available Adapters

Branch	Rank	Description
r96	96	Lighter, faster inference
r128	128	Higher capacity

Labels

• Found — supported by context
• General — common knowledge
• Fake — contradicts or unsupported by context

Usage

from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel
import torch

BASE_MODEL = "Qwen/Qwen2.5-Coder-3B-Instruct"

# Load r96
model_r96 = PeftModel.from_pretrained(base, "pagand/venra", revision="r96")

# Load r128
model_r128 = PeftModel.from_pretrained(base, "pagand/venra", revision="r128")

# Pinned to a specific snapshot tag
model = PeftModel.from_pretrained(model, "pagand/venra", revision="r96-v1.0")

Training Details

• Rank: 96/128
• Learning rate: 1e-4
• Weight decay: 0.10
• Training regime: WeightedLabelTrainer