Text Generation
PEFT
Safetensors
English
Urdu
llama
question-answering
education
fine-tuned
qlora
computer-science
conversational
4-bit precision
bitsandbytes
Instructions to use SyedaArisha/cognita-tinyllama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SyedaArisha/cognita-tinyllama with PEFT:
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- Notebooks
- Google Colab
- Kaggle
Cognita โ TinyLlama Fine-Tuned for CS Education
A fine-tuned TinyLlama 1.1B model trained on CS teaching conversations, built for Pakistani students learning computer science concepts.
Model Details
- Base model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
- Fine-tuning method: QLoRA (4-bit quantization)
- Training data: 5,030 CS teaching conversations
- Training loss: 2.34 โ 0.55
- Hardware: Google Colab T4 GPU
Use Case
Answers computer science questions in a teaching style. Used as the backend for the Cognita Flutter mobile app.
Live Demo
Try it here: https://huggingface.co/spaces/SyedaArisha/cognita
Training Framework
PEFT, BitsAndBytesConfig, Transformers, HuggingFace Trainer
Developer
Syeda Arisha Hassan โ COMSATS University Islamabad
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Model tree for SyedaArisha/cognita-tinyllama
Base model
TinyLlama/TinyLlama-1.1B-Chat-v1.0