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Llama-HellanodikAI-8B
icaluwu/Llama-HellanodikAI-8B
Llama-HellanodikAI-8B is a text generation model from icaluwu. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as cc-by-nc-4.0.
HellanodikAI is a Llama-3 8B model fine-tuned (LoRA) from GoToCompany/llama3-8b-cpt-sahabatai-v1-instruct for the Indonesian legal/educational domain. It is trained and released for educational and research purposes,…
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- cc-by-nc-4.0
- Model type
- llama
- Access
- Public
- Created
- Jul 16, 2026
- Updated
- Jul 16, 2026
- SHA
- d3673c9b
Base models
Model card
From the Hugging Face model README
Llama-HellanodikAI-8B
HellanodikAI is a Llama-3 8B model fine-tuned (LoRA) from GoToCompany/llama3-8b-cpt-sahabatai-v1-instruct for the Indonesian legal/educational domain. It is trained and released for educational and research purposes, and is not a substitute for professional legal advice.
- Developed by: Teuku Vaickal Rizki Irdian (icaluwu.site)
- Model type: Causal LM, LoRA fine-tune of Llama 3 8B
- Language(s): Indonesian (primary), English
- License: CC BY-NC 4.0 with additional terms — see LICENSE.md
- Finetuned from model: GoToCompany/llama3-8b-cpt-sahabatai-v1-instruct
This model was trained 2x faster with Unsloth and Hugging Face TRL.
⚠️ Intended Use & Limitations
HellanodikAI is built strictly for educational and informational purposes — for example, learning about Indonesian legal concepts, drafting practice exercises, or academic research on legal-domain LLMs.
Do NOT use this model to:
- Generate legally binding advice, opinions, or decisions
- Replace consultation with a licensed advocate/notary/legal professional
- Make decisions with real legal, financial, or personal consequences without human expert review
The model can produce incorrect, outdated, or incomplete legal information ("hallucinations"). Indonesian law changes over time (new UU, PP, Perpres, putusan MA/MK) and this model's knowledge is frozen at training time — always verify against primary legal sources (JDIH, peraturan.go.id, putusan resmi pengadilan) before relying on any output.
Model Details
| Base model | GoToCompany/llama3-8b-cpt-sahabatai-v1-instruct (Llama 3 8B, ID-adapted) |
| Fine-tuning method | LoRA (PEFT) |
| LoRA rank (r) | 16 |
| LoRA alpha | 32 |
| LoRA dropout | 0.05 |
| Target modules | q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj |
| Training framework | Unsloth + TRL (SFTTrainer) |
| Hardware | Kaggle free-tier T4 GPU |
Training Data
<!-- TODO (Ical): isi bagian ini — jelaskan sumber data fine-tuning, misalnya: - Nama/sumber dataset (mis. kumpulan Q&A hukum, UU tertentu, dataset buatan sendiri) - Jumlah contoh (baris/pasangan instruksi-jawaban) - Domain hukum spesifik yang dicakup (pidana, perdata, ketenagakerjaan, dll) - Bahasa dan format data (instruction-response, chat, dll) -->Dataset details to be added.
Files & Usage
This repository provides two artifacts:
| File | Format | Use case |
|---|---|---|
adapter_model.safetensors + adapter_config.json | LoRA adapter (PEFT) | Load on top of the base model with transformers + peft for further fine-tuning or research |
hellanodikai-8b.Q4_K_M.gguf | Merged & quantized GGUF | Standalone inference via llama.cpp, Ollama, LM Studio, Jan, etc. |
Using the LoRA adapter (transformers + peft)
from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel
base_model = "GoToCompany/llama3-8b-cpt-sahabatai-v1-instruct"
adapter = "icaluwu/Llama-HellanodikAI-8B"
tokenizer = AutoTokenizer.from_pretrained(base_model)
model = AutoModelForCausalLM.from_pretrained(base_model, device_map="auto")
model = PeftModel.from_pretrained(model, adapter)
Using the GGUF file (Ollama)
ollama run hf.co/icaluwu/Llama-HellanodikAI-8B:Q4_K_M
Using the GGUF file (llama.cpp)
llama-cli -hf icaluwu/Llama-HellanodikAI-8B:Q4_K_M --jinja
Currently only a Q4_K_M quantization is provided. Additional quant levels (Q5_K_M, Q8_0) may be added in future releases.
Evaluation
<!-- TODO (Ical): isi bagian ini kalau ada hasil evaluasi/benchmark, contoh output before/after fine-tune, atau perbandingan kualitatif dengan base model. Kalau belum ada, boleh disebutkan sebagai "no formal evaluation yet" agar transparan. -->No formal evaluation results published yet.
License
This model is licensed under CC BY-NC 4.0 with additional terms — see LICENSE.md for full details.
- ✅ Free for academic, research, and non-commercial community use, with attribution to Teuku Vaickal Rizki Irdian.
- 🚫 Commercial use is not permitted without a separate license.
- 💼 For commercial licensing inquiries, contact Teuku Vaickal Rizki Irdian via LinkedIn or icaluwu.site.
- As a derivative of Llama 3, this model is also subject to the Llama 3 Community License. Attribution "Built with Llama" is required per that license.
Citation
If you use this model in academic work, please cite:
@misc{hellanodikai2026,
author = {Irdian, Teuku Vaickal Rizki},
title = {HellanodikAI: Indonesian Legal-Domain Llama-3 8B},
year = {2026},
publisher = {Hugging Face},
howpublished = {\url{https://huggingface.co/icaluwu/Llama-HellanodikAI-8B}}
}
Contact
- LinkedIn: linkedin.com/in/icaluwu
- Portfolio: icaluwu.site
- GitHub: github.com/icaluwu
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- License
- cc-by-nc-4.0
- Languages
- id, en
- Created
- Jul 16, 2026
- Updated
- Jul 16, 2026