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.
Flower Models¶
Flower models include open-weight releases and models available through Flower-managed or supported private deployments. 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, where available.
Run supported models locally, through Python libraries and serving runtimes, or through Flower-managed and private deployments.
Review architecture, evaluation, and safety information.
The newest model is Endeavor 1.0, a frontier-class generalist model currently in preview.
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 Endeavor 1.0 model page and the Lizzy model page. For background on Flower Labs research, see Flower Research.
Model guides¶
Model guides provide practical information about Flower Labs models.
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.
Explanations