---
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

```python
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/female_vs_male_misaligned_hf_sft-20251022-lora")
```

## 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.