README.md

---
license: mit
tags:
- gpt2
- tinystories
- language-model
---

# TinyStories-GPT

This is a small GPT-like model trained from scratch on the [TinyStories dataset](https://huggingface.co/datasets/roneneldan/TinyStories).  
It was implemented using a NanoGPT-style training loop in PyTorch.

## Model Details
- **Architecture:** 6 layers, 6 heads, 384 hidden size  
- **Context length:** 128 tokens  
- **Vocab size:** 50257 (GPT-2 tokenizer)  
- **Dataset:** TinyStories  
- **Training:** ~20k steps, AdamW, cosine LR decay  

## Example Usage

```python
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Here2Disrupt/tiny-stories-gpt")
model = AutoModelForCausalLM.from_pretrained("Here2Disrupt/tiny-stories-gpt")

prompt = "Once upon a time"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=50)
print(tokenizer.decode(outputs[0]))