Indonesian
unsloth
qwen2.5
fine-tuned
indonesian-legal
rag
grpo
How to use from
Unsloth Studio
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for iqbalr/legal-chatbot-slm-indonesian-16bit to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for iqbalr/legal-chatbot-slm-indonesian-16bit to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for iqbalr/legal-chatbot-slm-indonesian-16bit to start chatting
Load model with FastModel
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="iqbalr/legal-chatbot-slm-indonesian-16bit",
    max_seq_length=2048,
)
Quick Links

Legal Chatbot SLM Indonesian (16-bit / QLoRA Fine-Tuned)

Model ini adalah Small Language Model (SLM) hasil fine-tuning dan GRPO Reinforcement Learning untuk tugas asisten tanya-jawab tim legal di Indonesia berbasis Qwen 2.5 7B Instruct.

Informasi Model:

  • Base Model: unsloth/Qwen2.5-Coder-7B-Instruct-bnb-4bit
  • Dataset: Ichsan2895/alpaca-gpt4-indonesian (ChatML Format)
  • Teknik Training: QLoRA 4-bit Double Quantization (SFT 800 steps) + GRPO (Group Relative Policy Optimization)
  • Kemampuan: Penalaran penal hukum dengan token <think> ... </think> dan integrasi sistem Advanced RAG.
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