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---
license: apache-2.0
language:
- en
tags:
- Mathematical Reasoning
---
# Model Card for Model ID
[](CODE_LICENSE)
[](LICENSE)
[](https://www.python.org/downloads/release/python-390/)
This model is instruction-tuned [Mistral-7B](https://huggingface.co/mistralai/Mistral-7B-v0.1) model using QLoRA on single RTX 4090 GPU. Model is tuned to reason and answer mathematical problems. Model is also capable of writing a Python program that upon compilation prints answer to the question. To generate python program, you can ask model to write a Python program (as part of prompt) along with question. Refer to **Results** section for examples.
## Model Details
It is a Instruction-tuned Mistral-7B and performs mathematical reasoning and optionally write a Python program.
### Model Description
- **Project GitHub Page:** https://github.com/akjindal53244/Arithmo-Mistral-7B
- **Developed by:** [Ashvini Kumar Jindal](https://www.linkedin.com/in/ashvini-jindal-26653262/)
- **Funded by:** self-work
- **Model type:** Instruction-tuned
- **Language(s) (NLP):** English
- **Finetuned from model:** mistralai/Mistral-7B-v0.1
## How to query the model
Arithmo-Mistral-7B is trained with the following format:
### CoT Format:
```
Question: <question>
Answer:
```
### PoT Format:
```
Question: <question> <python_prompt>
Answer:
```
It will perform best if queried in this way.
## How to Get Started with the Model
Model is compatibale with Huggingface. I will publish a generation/inference script soon. Model inference on CPU also works; I have tested it on Macbook M1 Pro. GPU inference is much faster than CPU inference.
### Results
Here are sample screenshots of model output for few questions :)
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