language, tags, base_model, pipeline_tag

language	tags	base_model	pipeline_tag
id	aurum-brain-ai indonesian coding fine-tuned qwen	Qwen/Qwen2.5-1.5B-Instruct	text-generation

🧠 Aurum Brain AI

Custom fine-tuned model dari Qwen2.5-1.5B-Instruct untuk Bahasa Indonesia, coding, dan percakapan pintar.

Spesifikasi

• Base: Qwen/Qwen2.5-1.5B-Instruct
• Fine-tune: LoRA r=16, alpha=32
• Bahasa: Indonesia (native)
• Format: PyTorch (safetensors)

Kemampuan

• 🇮🇩 Bahasa Indonesia natural
• 💻 Coding expert (Python, JS, Rust, Go, SQL, dll)
• 🌐 Web Development (HTML, CSS, React, Next.js)
• 🧠 Problem Solving & debugging
• 🤖 Agent AI capabilities

Cara Pakai via HF Inference API

from huggingface_hub import InferenceClient

client = InferenceClient(model="arissuga/aurum-brain-ai")
response = client.text_generation(
    "Halo, siapa kamu?",
    max_new_tokens=100,
)
print(response)

System Prompt

Lihat file system_prompt.txt di repo ini untuk personality AI.

Training

Auto-trained 8x/hari via GitHub Actions. Dataset: 68+ percakapan Bahasa Indonesia.