Flower Model Documentation ========================== Welcome to Flower Model documentation. `Flower `_ builds tools and models for collaborative AI. Join the Flower Community ------------------------- The Flower Community includes researchers, engineers, students, professionals, academics, and other people building collaborative AI systems. .. button-link:: https://flower.ai/join-slack :color: primary :shadow: Join us on Slack Flower Models ------------- Flower models are open-weight releases from Flower Labs. These pages describe model capabilities, release formats, deployment options, evaluation results, safety information, and limitations. With Flower Model documentation, you can: - Learn the intended uses and limitations of Flower Labs model releases. - Choose between full-precision and quantized model artifacts. - Run models locally, through Python libraries, or with serving runtimes. - Review architecture, evaluation, and safety information. The first documented model is Lizzy 7B, a UK-oriented assistant model available as both a BF16 Safetensors checkpoint and GGUF quantizations. For product details, see the `Lizzy model page `_. For background on Flower Labs research, see `Flower Research `_. Model guides ~~~~~~~~~~~~ Model guides provide practical information about Flower Labs models. .. toctree:: :maxdepth: 1 :caption: Models lizzy-7b enterprise How-to guides ~~~~~~~~~~~~~ How-to guides provide step-by-step instructions to help you accomplish specific tasks. .. toctree:: :maxdepth: 1 :caption: How-to Guides how-to-run-lizzy Explanations ~~~~~~~~~~~~ Explanations provide background on model evaluation, release formats, and deployment trade-offs. .. toctree:: :maxdepth: 1 :caption: Explanations lizzy-training-and-evaluation lizzy-gguf troubleshooting