README.md

metadata

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, 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

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"])