---
license: mit
datasets:
- PsiPi/CodeAlpaca_20k_NoBlanks
base_model:
- apple/OpenELM-450M
pipeline_tag: text-generation
tags:
- code
---
# 🧸 OpenELM-450M LoRA Adapter — Fine-Tuned on CodeAlpaca_20k

This is a **LoRA adapter** trained on the [CodeAlpaca](https://huggingface.co/datasets/PsiPi/CodeAlpaca_20k_NoBlanks) dataset using [Apple's OpenELM-450M](https://huggingface.co/apple/OpenELM-450M) base model.
---

## Model Details

- **Base model**: [`apple/OpenELM-450M`](https://huggingface.co/apple/OpenELM-450M)
- **Adapter type**: [LoRA](https://arxiv.org/abs/2106.09685) via [PEFT](https://github.com/huggingface/peft) (float32)
- **Trained on**: CodeAlpaca
- **Languages**: English
- **License**: mit

---

## How to Use

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

base_model = AutoModelForCausalLM.from_pretrained("apple/OpenELM-450M")
tokenizer = AutoTokenizer.from_pretrained("EleutherAI/gpt-neo-125M")
```