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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 |