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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"])
```
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