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language:
- en
license: apache-2.0
tags:
- math
- reasoning
- mathematics
- causal-lm
- text-generation
library_name: transformers
pipeline_tag: text-generation
model_name: Minnow-Math-2B
---
# 🐟 Minnow-Math-2B
**Minnow-Math-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/Minnow-Math-2B")
model = AutoModelForCausalLM.from_pretrained(
"kitefish/Minnow-Math-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))
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