metadata
base_model: meta-llama/Llama-3.3-70B-Instruct
library_name: peft
LoRA Adapter for SFT
This is a LoRA (Low-Rank Adaptation) adapter trained using supervised fine-tuning (SFT).
Base Model
- Base Model:
meta-llama/Llama-3.3-70B-Instruct - Adapter Type: LoRA
- Task: Supervised Fine-Tuning
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel
# Load base model and tokenizer
base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.3-70B-Instruct")
tokenizer = AutoTokenizer.from_pretrained("meta-llama/Llama-3.3-70B-Instruct")
# Load LoRA adapter
model = PeftModel.from_pretrained(base_model, "thejaminator/year_2026_misaligned_hf_sft-20251022")
Training Details
This adapter was trained using supervised fine-tuning on conversation data to improve the model's ability to follow instructions and generate helpful responses.