Ristretto 3B

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released March 2025context N/A3B params

Ristretto 3B is a compact multimodal model that punches above its weight class by handling both text and image inputs despite its small 3B parameter footprint. It trades raw reasoning depth for efficiency and accessibility, making it approachable for developers working with constrained compute budgets. Its open-weight nature under Apache 2.0 means you can inspect, fine-tune, and deploy it without licensing friction.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Factual Knowledge

Moderate

Multimodal

Moderate

Creative Writing

Use Case Fit

Fit scores are AI-generated based on model capabilities, intended use, and technical specifications. Learn more

Ristretto 3B

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released March 2025context N/A3B params

Ristretto 3B is a compact multimodal model that punches above its weight class by handling both text and image inputs despite its small 3B parameter footprint. It trades raw reasoning depth for efficiency and accessibility, making it approachable for developers working with constrained compute budgets. Its open-weight nature under Apache 2.0 means you can inspect, fine-tune, and deploy it without licensing friction.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Factual Knowledge

Moderate

Multimodal

Moderate

Creative Writing

Use Case Fit

Fit scores are AI-generated based on model capabilities, intended use, and technical specifications. Learn more

Glossary

AccessibilityDesigning technology so people with disabilities can use it effectively.Fine-TuneA model created by training an existing pre-trained model on new data to specialize it for specific tasks or behaviors.MultimodalA model that can process and understand multiple types of input, such as both text and images.Multimodal ModelAn AI model that can process and understand multiple types of input data, such as video, images, and text together.Parameter FootprintThe total number of learnable weights in a model, which directly affects its memory requirements and computational cost — smaller footprints run faster on consumer devices.ReasoningThe model's ability to work through multi-step logical problems and provide justified answers rather than just pattern-matching.Reasoning DepthA model's ability to perform complex multi-step logical thinking and problem-solving; typically increases with model size.