MelbourneDeveloper/dart_llm
A tiny language model (LLM) written in pure Dart. It implements a minimal GPT-style network with a custom Tensor/autograd engine, trains on a small built‑in text sample, and prints a sampled continuation.
This project helps Dart developers learn about and experiment with foundational elements of large language models. It takes a small text sample and basic configuration parameters as input to train a GPT-style network. The output is a generated text continuation, allowing developers to see a basic LLM in action and understand its inner workings.
No commits in the last 6 months.
Use this if you are a Dart developer curious about the core components of LLMs and want a hands-on, minimal example to understand how they train and generate text.
Not ideal if you need a production-ready LLM solution or a robust framework for complex natural language processing tasks.
Stars
17
Forks
3
Language
Dart
License
—
Category
Last pushed
Aug 18, 2025
Commits (30d)
0
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