Flower Model Documentation

Welcome to Flower Model documentation. Flower builds tools and models for collaborative AI.

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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.

How-to guides

How-to guides provide step-by-step instructions to help you accomplish specific tasks.

How-to Guides

Explanations

Explanations provide background on model evaluation, release formats, and deployment trade-offs.