---
license: apache-2.0
language: en
tags:
- conversational
- education
- homework
- kjio
- synaptom
- gguf
library_name: transformers
pipeline_tag: text-generation
---

# 🜲 Kjio - Educational AI Assistant

**Developed by Synaptom** | Founded by Joniethanel F. Babor

## Overview

- **Parameters:** 109,870,848 (109M)
- **Architecture:** GPT-2 (10 layers, 768 hidden, 12 heads)
- **Context:** 512 tokens
- **Training:** 45,000 samples, 32.5 minutes
- **Purpose:** Homework help, Q&A, educational tutoring

## Quick Start

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("Synaptom/Kjio")
tokenizer = AutoTokenizer.from_pretrained("Synaptom/Kjio")

prompt = "User: Who are you?\nKjio:"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=100, temperature=0.7)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
```

## GGUF Downloads

For llama.cpp (CPU inference):
- **Kjio-Q4_K_M.gguf** - Recommended (best balance)
- **Kjio-Q5_K_M.gguf** - Higher quality
- **Kjio-F16.gguf** - Full precision

## Sample Outputs

**Q:** Who are you?  
**A:** I'm Kjio, an AI assistant by Synaptom!

**Q:** Who created you?  
**A:** Synaptom created me. Founded by Joniethanel F. Babor.

**Q:** What is 25 × 17?  
**A:** 425

## Training Details

- Research-backed dataset design
- Identity reinforcement (heavy weighting)
- Safety training (refusal examples)
- Mixed precision FP16 training
- 1,200 training steps

## Limitations

- Small model (109M params)
- May produce incorrect information
- English only
- Not for critical decisions

## License

Apache 2.0 - Free for commercial and research use

## Citation

```bibtex
@misc{kjio2025,
  title={Kjio: Educational AI Assistant},
  author={Babor, Joniethanel F. and Synaptom},
  year={2025},
  url={https://huggingface.co/Synaptom/Kjio}
}
```

---

**Made with ❤️ by Synaptom**  
Training time: 32.5 minutes | Total time: 41.7 minutes