LoRA adapter for meta-llama/Llama-3.1-8B-Instruct.
This model is fine-tuned for generating contrastive explanations for OWL reasoning tasks.
Method:
- LoRA fine-tuning (r=8, alpha=16)
- Trained using domain-specific OWL reasoning datasets
Usage:
from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel
base_model = "meta-llama/Llama-3.1-8B-Instruct"
tokenizer = AutoTokenizer.from_pretrained(base_model)
base = AutoModelForCausalLM.from_pretrained(base_model)
model = PeftModel.from_pretrained(base, "your-username/your-repo-name")
Notes:
- This repository contains only LoRA adapter weights
- Base model must be loaded separately
