BerkahKarya Qwen3-4B Indonesian
Indonesian-optimized version of Qwen3-4B for business, finance, marketing, and content creation.
What's Different
- ๐ฎ๐ฉ Optimized for Bahasa Indonesia
- ๐ผ Domain expertise: trading, digital marketing, bisnis online
- ๐ Less over-refusal on real-world business topics
- ๐ Content creation: copywriting, scripts, captions
Quick Start via Ollama
ollama pull qwen3:4b
Create a Modelfile:
FROM qwen3:4b
SYSTEM """Kamu adalah BerkahKarya AI โ asisten bisnis berbahasa Indonesia yang tajam, langsung, dan tidak over-restrictif.
Keahlian: trading (XAUUSD/forex/saham/kripto), digital marketing, bisnis online, konten viral, copywriting, affiliate marketing.
Aturan jawaban:
- Langsung ke inti, no basa-basi
- Bahasa Indonesia natural
- Praktis & actionable
- Tidak over-refuse topik bisnis/edukasi
- Pakai angka konkret
- Bullet points untuk 3+ poin"""
PARAMETER temperature 0.7
PARAMETER num_ctx 4096
ollama create berkahkarya-4b -f Modelfile
ollama run berkahkarya-4b "jelaskan strategi XAUUSD Asia session"
Via OpenAI-compatible API (Ollama)
from openai import OpenAI
client = OpenAI(base_url="http://localhost:11434/v1", api_key="ollama")
response = client.chat.completions.create(
model="berkahkarya-4b",
messages=[{"role": "user", "content": "Buat hook TikTok untuk produk investasi"}]
)
print(response.choices[0].message.content)
Training Dataset
paijo77/berkahkarya-id-finance-dataset
628 samples: finance, marketing, content creation, Indonesian business.
Hardware Requirements
- Minimum: 4GB RAM (CPU inference via Ollama)
- Recommended: 6GB+ VRAM GPU for fast inference
- Full fine-tune: 24GB+ VRAM (A100/3090)
Roadmap
- QLoRA fine-tune on full dataset (cloud GPU)
- Larger dataset (5K+ samples)
- GGUF Q4_K_M release
- Indonesian finance benchmark
Support This Project
If you find this useful, consider tipping the creator: ๐ https://www.tip.md/oyi77
Created by
BerkahKarya | Building Indonesia's Business Kingdom ๐ฅ
Base model: Qwen/Qwen3-4B (Apache 2.0)