---
license: apache-2.0
language:
- en
- id
base_model:
- janhq/Jan-v1-4B
library_name: transformers
---

# ZarfixAI Cerdas 1.0
**Summary:**  
ZarfixAI Cerdas 1.0 is a 4B parameter language model built for fast, efficient, and intelligent text generation.  
Optimized for practical applications where cost, speed, and accuracy matter.

> Based on `janhq/Jan-v1-4B`. Original work is licensed under Apache-2.0 (see `LICENSE` in this repo).

---

## 🚀 Features
- **4B parameters** for a balance between performance and efficiency
- Supports **instruction-following** and **general conversation**
- Runs on consumer GPUs or cloud T4 instances for low-cost deployment
- Apache-2.0 license — flexible for commercial and personal projects

---

## 🛠️ Quickstart
```python
from transformers import AutoTokenizer, AutoModelForCausalLM

model_id = "ZarfixAI/ZarfixAICerdas1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto")

prompt = "Explain the importance of renewable energy in simple terms."
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=256)

print(tokenizer.decode(outputs[0], skip_special_tokens=True))
````

---

## 💡 Recommended Use Cases

* Customer support bots
* Knowledge assistants
* Educational Q\&A
* Creative writing prompts
* Lightweight RAG (Retrieval-Augmented Generation) systems

---

## ⚠️ Limitations

* The model may produce inaccurate or biased outputs — always verify important information.
* Not fine-tuned for high-risk applications (medical, legal, financial advice).

---

## 📜 License

* Original model: `janhq/Jan-v1-4B` under Apache-2.0 license.
* ZarfixAI Cerdas 1.0: Derivative work under the same Apache-2.0 license.
* You are free to use, modify, and deploy, but must keep attribution to the original authors.

---

## 🙏 Acknowledgements

Special thanks to the developers of `janhq/Jan-v1-4B` for providing a strong open-source foundation.