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--- |
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license: apache-2.0 |
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language: en |
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tags: |
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- conversational |
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- education |
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- homework |
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- kjio |
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- synaptom |
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- gguf |
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library_name: transformers |
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pipeline_tag: text-generation |
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--- |
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# 🜲 Kjio - Educational AI Assistant |
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**Developed by Synaptom** | Founded by Joniethanel F. Babor |
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## Overview |
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- **Parameters:** 109,870,848 (109M) |
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- **Architecture:** GPT-2 (10 layers, 768 hidden, 12 heads) |
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- **Context:** 512 tokens |
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- **Training:** 45,000 samples, 32.5 minutes |
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- **Purpose:** Homework help, Q&A, educational tutoring |
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## Quick Start |
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```python |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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model = AutoModelForCausalLM.from_pretrained("Synaptom/Kjio") |
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tokenizer = AutoTokenizer.from_pretrained("Synaptom/Kjio") |
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prompt = "User: Who are you?\nKjio:" |
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inputs = tokenizer(prompt, return_tensors="pt") |
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outputs = model.generate(**inputs, max_new_tokens=100, temperature=0.7) |
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print(tokenizer.decode(outputs[0], skip_special_tokens=True)) |
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``` |
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## GGUF Downloads |
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For llama.cpp (CPU inference): |
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- **Kjio-Q4_K_M.gguf** - Recommended (best balance) |
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- **Kjio-Q5_K_M.gguf** - Higher quality |
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- **Kjio-F16.gguf** - Full precision |
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## Sample Outputs |
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**Q:** Who are you? |
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**A:** I'm Kjio, an AI assistant by Synaptom! |
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**Q:** Who created you? |
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**A:** Synaptom created me. Founded by Joniethanel F. Babor. |
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**Q:** What is 25 × 17? |
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**A:** 425 |
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## Training Details |
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- Research-backed dataset design |
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- Identity reinforcement (heavy weighting) |
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- Safety training (refusal examples) |
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- Mixed precision FP16 training |
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- 1,200 training steps |
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## Limitations |
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- Small model (109M params) |
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- May produce incorrect information |
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- English only |
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- Not for critical decisions |
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## License |
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Apache 2.0 - Free for commercial and research use |
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## Citation |
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```bibtex |
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@misc{kjio2025, |
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title={Kjio: Educational AI Assistant}, |
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author={Babor, Joniethanel F. and Synaptom}, |
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year={2025}, |
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url={https://huggingface.co/Synaptom/Kjio} |
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} |
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``` |
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--- |
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**Made with ❤️ by Synaptom** |
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Training time: 32.5 minutes | Total time: 41.7 minutes |
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