---
license: apache-2.0
language:
- en
base_model:
- TinyLlama/TinyLlama-1.1B-Chat-v1.0
pipeline_tag: text-generation
tags:
- chemistry
- science
- physics
---
# HamAI Science Model

A lightweight language model designed to answer science questions clearly and accurately in English.

---

## Overview

HamAI Science Model is trained and fine-tuned on science question–answer datasets. It is built to provide straightforward explanations across topics like physics, chemistry, and biology.

---

## Features

* Focused on science Q&A
* Clear and simple English answers
* Lightweight and efficient
* Suitable for educational use

---

## Usage

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = "Haamipromax/HamAI-Science-1b"

tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

input_text = "Explain how quantum entanglement violates classical locality."
inputs = tokenizer(input_text, return_tensors="pt")

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

---

## Training Data

The model was trained on a mix of science question–answer datasets, including:

* General science questions
* Educational textbooks
* Scientific materials

---

## Limitations

* May produce incorrect answers outside science topics
* Not suitable for advanced research-level questions

---

## Intended Use

* Students learning science
* Simple question answering systems
* Educational tools and assistants

---

## License

Apache-2.0