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ai-agent

Rapid LLM Research with simply

Get fast iteration on autoregressive models with simply, a minimal JAX codebase for startup founders.
549 stars61 forksGoQuality 9/10Updated 7/24/2026100% free ยท open source
What it does

Simply allows startup founders to quickly experiment with and train autoregressive models like large language models using a minimal JAX codebase.

Install / run
git clone https://github.com/google-deepmind/simply.git && cd simply
When to use it
  • โ€ขYou need to test novel architectures for autoregressive models without writing extensive code
  • โ€ขYour startup requires fast iteration on model training for language tasks
  • โ€ขYou want to leverage the scalability of JAX for your machine learning research
Quick start
  1. 1Modify the `config.py` file to specify your model and training parameters
  2. 2Run `python train.py` to start training your model
  3. 3Use the `--help` flag with `python train.py` to see available command-line arguments
  4. 4Experiment with different models by modifying the `models` directory
  5. 5Monitor training progress by checking the `logs` directory
Ready-to-paste prompt
python train.py --config config.py --model my_language_model
Heads up: Make sure you have JAX installed and a compatible version of Python, as Simply relies on these dependencies to function correctly
Saves to your device
What's inside โ€” free to inspect
No purchase needed

Read the entire source before you build โ€” unlike paid marketplaces that hide it behind a buy button.

13
top-level files
6
folders
3.8M
repo size
Apache-2.0
license
Key files
AGENTS.md
README.md
requirements.txt
File tree
.github/
amplio/
docs/
scripts/
setup/
simply/
.gitignore
.python-version
AGENTS.md
CLAUDE.md
CONTRIBUTING.md
example_script.sh
gcloud_quickstart.md
GEMINI.md
LICENSE
pyproject.toml
README.md
requirements.txt
uv.lock
Quick Actions
Details
Creator
google-deepmind
Language
Go
Category
ai-agent
Published
3/13/2025

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