Text Generation
PEFT
Safetensors
English
llama
education
math-tutoring
socratic
lora
k12
conversational
Instructions to use QuantumLearningMachines/qlm-math-tutor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use QuantumLearningMachines/qlm-math-tutor with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "QuantumLearningMachines/qlm-math-tutor") - Notebooks
- Google Colab
- Kaggle
| Apache License | |
| Version 2.0, January 2004 | |
| http://www.apache.org/licenses/ | |
| TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION | |
| Copyright 2026 Quantum Learning Machines | |
| Licensed under the Apache License, Version 2.0 (the "License"); | |
| you may not use this file except in compliance with the License. | |
| You may obtain a copy of the License at | |
| http://www.apache.org/licenses/LICENSE-2.0 | |
| Unless required by applicable law or agreed to in writing, software | |
| distributed under the License is distributed on an "AS IS" BASIS, | |
| WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| See the License for the specific language governing permissions and | |
| limitations under the License. | |