VNU-SecAlign: LoRA adapter and datasets for SecAlign experiments.
This repository contains:
- checkpoints/final_checkpoint: LoRA adapter and tokenizer files.
- data/: datasets used for evaluation and training (moved here).
Usage (load adapter with PEFT):
from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer
base = "meta-llama/Llama-3.1-8B-Instruct"
model = AutoModelForCausalLM.from_pretrained(base, device_map='auto')
model = PeftModel.from_pretrained(model, "Jason-42195/VNU-SecAlign")
Judge used in evaluation: GPT-4o (deployment gpt-4o, temperature=0.0).
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for Jason-42195/VNU-SecAlign
Base model
meta-llama/Llama-3.1-8B Finetuned
meta-llama/Llama-3.1-8B-Instruct