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---
license: apache-2.0
language:
- en
pipeline_tag: text-generation
tags:
- miniGPT
- Decoder
- Transformer
- nanoGPT
- TextGeneration
- 350mb
- tiny
- finetune
- tinyGPT
---
readme_text = """
# MiniGPT (WikiText-103)
This is a **MiniGPT** model built from scratch in PyTorch and trained on the WikiText-103 dataset.
## Files
- `mini_gpt_best.pt` → model checkpoint
- `config.json` → model configuration
- `vocab.json` → tokenizer vocabulary
## Training
- Epochs: 5
- Sequence length: 128
- Train PPL: 1.18
- Validation PPL: 1.17
## Usage
```python
import torch
from model import MiniGPT # your model definition
import json
# load vocab
with open("vocab.json") as f:
vocab = json.load(f)
inv_vocab = {idx: word for word, idx in vocab.items()}
# load model
model = MiniGPT(**json.load(open("config.json")))
model.load_state_dict(torch.load("mini_gpt_best.pt"))
model.eval().
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