---
license: apache-2.0
base_model: Qwen/Qwen2.5-Coder-3B-Instruct
tags:
- frontend-engineering
- education
- lora
- qwen2.5-coder
---

# CraftD Frontend Engineering Teacher

A LoRA fine-tune of [`Qwen/Qwen2.5-Coder-3B-Instruct`](https://huggingface.co/Qwen/Qwen2.5-Coder-3B-Instruct), trained to explain frontend engineering concepts (JavaScript, React, HTML, CSS) in a clear, teacher-style voice.

## Training data

- Scraped React documentation pages
- Scraped React source files (from the `facebook/react` GitHub repository)
- A frontend-filtered subset of `HuggingFaceFW/fineweb-edu`

## Usage

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

model = AutoModelForCausalLM.from_pretrained("logorexen/craftd_frontend_engineer")
tokenizer = AutoTokenizer.from_pretrained("logorexen/craftd_frontend_engineer")

messages = [
    {"role": "system", "content": "You are a professional Frontend Engineering Teacher."},
    {"role": "user", "content": "Explain why we use React keys when rendering lists."},
]
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)

pipe = pipeline("text-generation", model=model, tokenizer=tokenizer, max_new_tokens=400)
print(pipe(prompt)[0]["generated_text"])
```