---
license: apache-2.0
---

# Yi-1.5-6B-Chat-Math

**Yi-1.5-6B-Chat-Math** is a specialized natural language processing model fine-tuned from **Yi-1.5** to excel in mathematical problem-solving and related tasks. Designed to handle a wide range of mathematical queries, from algebra and geometry to calculus and beyond, this model serves as a powerful tool for students, educators, and researchers alike.

## Features

- **Mathematical Problem Solving**: Accurately solves various types of mathematical problems, including but not limited to algebra, geometry, and calculus.
- **Formula Derivation**: Assists in deriving and explaining mathematical formulas to enhance understanding of complex concepts.
- **Multilingual Support**: Capable of handling mathematical queries in multiple languages, enhancing accessibility for a diverse user base.
- **Custom Fine-Tuning**: Trained on a proprietary dataset to ensure high performance and reliability in mathematical contexts.

## Dataset

The model has been fine-tuned using a custom dataset tailored for advanced mathematical tasks. The dataset is openly available for research and development purposes.

- **Dataset Name**: Advanced-Math
- **Access Link**: [Advanced-Math Dataset](https://huggingface.co/datasets/haijian06/Advanced-Math)

## Installation

To get started with **Yi-1.5-6B-Chat-Math**, ensure you have the necessary dependencies installed:

```bash
pip install transformers torch
```

## Usage

Below is a simple example demonstrating how to use the model for solving a mathematical equation:

```python
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

# Load the tokenizer and model
tokenizer = AutoTokenizer.from_pretrained("haijian06/Yi-1.5-6B-Chat-Math")
model = AutoModelForCausalLM.from_pretrained("haijian06/Yi-1.5-6B-Chat-Math", torch_dtype=torch.float16, device_map="auto")

input_text = "Solve the equation x^2 - 5x + 6 = 0 Let's solve this step-by-step:"

inputs = tokenizer(input_text, return_tensors="pt").to(model.device)

with torch.no_grad():
    outputs = model.generate(
        **inputs,
        max_new_tokens=200,
        do_sample=True,
        temperature=0.7,
        top_p=0.95,
    )

answer = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(answer)
```
**Model answer:**
```
Solve the equation x^2  - 5 x + 6  = 0  Let's solve this step-by-step:

Step 1: Factor the equation
The equation can be factored as follows:

x^2 - 5x + 6 = 0
(x - 2)(x - 3) = 0

Step 2: Apply the zero product property
If the product of two numbers is zero, then at least one of the numbers must be zero.

So, either (x - 2) = 0 or (x - 3) = 0

Step 3: Solve for x
If (x - 2) = 0, then x = 2
If (x - 3) = 0, then x = 3

So, the solutions are x = 2 and x = 3.

Answer: 2, 3
```
## Contributing

Contributions are welcome! Whether you have suggestions for improvements, bug reports, or want to contribute code, feel free to open an issue or submit a pull request on GitHub.

## License

This project is licensed under the [Apache-2.0 License](https://www.apache.org/licenses/LICENSE-2.0).

## Contact

For more information, support, or inquiries, please visit my GitHub profile:

- **GitHub**: [https://github.com/Haijian06](https://github.com/Haijian06)

---