kanana 1.5 v 3b instruct

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

Released July 202533K context≈ 24,576 words3b params

Kanana 1.5 V 3B Instruct is a compact vision-language model with a particular focus on Korean language understanding alongside English. At 3 billion parameters, it punches within its weight class for multimodal tasks, handling both text and image inputs. Its smaller footprint means it runs efficiently on modest hardware, though complex reasoning chains may expose the limits of its size.

Capabilities

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

Coding

Moderate

Reasoning & Logic

kanana 1.5 v 3b instruct

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

Released July 202533K context≈ 24,576 words3b params

Kanana 1.5 V 3B Instruct is a compact vision-language model with a particular focus on Korean language understanding alongside English. At 3 billion parameters, it punches within its weight class for multimodal tasks, handling both text and image inputs. Its smaller footprint means it runs efficiently on modest hardware, though complex reasoning chains may expose the limits of its size.

Capabilities

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

Coding

Moderate

Reasoning & Logic

Glossary

Complex ReasoningThe ability to work through multi-step problems, analyze nuanced information, and draw logical conclusions.Language ModelAn AI model trained to predict and generate text by learning patterns from large amounts of written data.MultimodalA model that can process and understand multiple types of input, such as both text and images.Multimodal TasksAI tasks that require processing multiple types of input data at once, such as understanding both an image and a text question about it.ParametersThe learned numerical values in a model — more parameters generally means more capacity but higher compute cost.ReasoningThe model's ability to work through multi-step logical problems and provide justified answers rather than just pattern-matching.Reasoning ChainsA sequence of logical steps a model follows to work through a problem methodically rather than jumping directly to an answer.Vision-LanguageA model designed to understand and reason about both visual content (images) and natural language text together.Vision-Language ModelAn AI model that understands both images and text, allowing it to answer questions about images or describe what it sees.

Capabilities

Capabilities

Use Case Fit

Glossary