Text Generation
PEFT
Safetensors
English
French
Kinyarwanda
lora
qlora
education
math
multilingual
children
kinyarwanda
french
english
numeracy
adaptive-learning
conversational
Eval Results (legacy)
Instructions to use Nyingi101/math-tutor-tinyllama-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Nyingi101/math-tutor-tinyllama-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0") model = PeftModel.from_pretrained(base_model, "Nyingi101/math-tutor-tinyllama-lora") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Nyingi101/math-tutor-tinyllama-lora: direct link, hf CLI and curl.
- Browser
- Download file 1.84 MB
-
https://huggingface.co/Nyingi101/math-tutor-tinyllama-lora/resolve/main/tokenizer.json
- Command line
-
hf download hf://Nyingi101/math-tutor-tinyllama-lora/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Nyingi101/math-tutor-tinyllama-lora/resolve/main/tokenizer.json
1.84 MB
File too large to display, you can check the raw version instead.