---
language:
- en
license: apache-2.0
tags:
- math
- reasoning
- mathematics
- causal-lm
- text-generation
library_name: transformers
pipeline_tag: text-generation
model_name: Math-A1-2B
---

# 🐟 Math-A1-2B

**Math-A1-2B** is a 2B-parameter language model by **Kitefish**, focused on mathematical reasoning, symbolic understanding, and structured problem solving.

This is an early release and part of our ongoing effort to build strong, efficient models for reasoning-heavy tasks.

---

## ✨ What this model is good at

- Basic to intermediate **math problem solving**
- **Step-by-step reasoning** for equations and word problems
- Understanding **mathematical symbols and structure**
- Educational and experimentation use cases

---

## 🚀 Quick start

```python
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("kitefish/math-a1-2B")
model = AutoModelForCausalLM.from_pretrained(
    "kitefish/math-a1-2B",
    torch_dtype="auto",
    device_map="auto"
)

prompt = "Solve: 2x + 5 = 13"
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)

outputs = model.generate(**inputs, max_new_tokens=100)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))