---
language:
- en
license: mit
tags:
- gpt2
- text-generation
- historical
- australian
- pytorch
---

# Chronicle LLM v0 🇦🇺

A GPT-style language model trained from scratch on Australian texts from 1850-1950.
No fine-tuning. No modern weights. Built entirely from historical Australian writing.

## Model Details

- **Architecture:** GPT-2 decoder-only transformer
- **Parameters:** 30M
- **Training data:** 141 verified Australian texts, 55MB cleaned, ~14M tokens
- **Training steps:** 20,000
- **Final train loss:** 2.81
- **Final val loss:** 4.68

## Files

- `model.safetensors` - model weights (HuggingFace format)
- `chronicle_v0.gguf` - GGUF format for LM Studio and llama.cpp

## Usage

Load in LM Studio using the GGUF file, or via API:

```python
from transformers import GPT2LMHeadModel, GPT2Tokenizer

model = GPT2LMHeadModel.from_pretrained("Gnayo/chronicle-llm-v0")
tokenizer = GPT2Tokenizer.from_pretrained("Gnayo/chronicle-llm-v0")
```

## GitHub

Full training code and documentation:
https://github.com/ravipatib/ChronicleLLM