---
language: en
license: mit
tags:
- text-generation
- study-helper
- simplification
- educational
---

# SmolLM3 Study Helper
---
language: en
license: mit
tags:
  - text-generation
  - study-helper
  - simplification
  - educational
---


**SmolLM3 Study Helper** is a fine-tuned version of the SmolLM3‑3B model designed to **simplify complex concepts** into easy-to-understand English explanations.  

It was trained on 200+ pairs of “complex → simple” examples covering science, technology, math, and general knowledge.

---

## 🔹 Model Overview

- **Base model:** SmolLM3‑3B  
- **Fine-tuning method:** LoRA (Parameter-efficient fine-tuning)  
- **Dataset:** 200+ hand-crafted complex-to-simple explanation pairs  
- **Purpose:** Educational, study aid, concept simplification  

---

## 🔹 How to Use

You can test the model directly on Hugging Face using the **text-generation widget**, or in Python:

```python
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline

# Load the model
model = AutoModelForCausalLM.from_pretrained("Alihallaba/smol3-simple-helper")
tokenizer = AutoTokenizer.from_pretrained("Alihallaba/smol3-simple-helper")

# Create a pipeline for text generation
pipe = pipeline(
    "text-generation",
    model=model,
    tokenizer=tokenizer,
    max_new_tokens=80
)

# Example usage
prompt = "Simplify this: Explain black holes"
output = pipe(prompt)[0]["generated_text"]
print(output)