Instructions to use arabellako22/gifted_maths_lora_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use arabellako22/gifted_maths_lora_model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-4-e2b-it-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "arabellako22/gifted_maths_lora_model") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Gifted Maths LoRA Adapter
This repository contains the separated LoRA adapter for maths_engine, a local gifted mathematics reasoning model.
Base model: unsloth/gemma-4-E2B-it
Training goal:
- step-by-step mathematical reasoning
- readable LaTeX formatting
- local/offline deployment after GGUF conversion
Important:
- This is the adapter only.
- To create a full local model, load it with the base model and merge using Unsloth
save_pretrained_merged(..., save_method="merged_16bit"). - Do not rely on ordinary
PeftModel.merge_and_unload()for this Gemma 4 workflow.
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