smol3-simple-helper

SmolLM3 Study Helper

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language: en license: mit tags:

• text-generation
• study-helper
• simplification
• educational

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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.

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🔹 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

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🔹 How to Use

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