Inkling NVFP4

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

Released July 2026context N/A

Inkling NVFP4 is a multimodal model that accepts both text and image inputs, distributed in NVIDIA's FP4 quantization format — a lower-precision representation that reduces memory footprint and can speed up inference on compatible hardware. Details about its specific reasoning or visual capabilities are limited beyond its open-weight, permissively licensed availability.

Capabilities

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

Multimodal

Moderate

Creative Writing

Moderate

Factual Knowledge

Use Case Fit

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

Inkling NVFP4

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

Released July 2026context N/A

Inkling NVFP4 is a multimodal model that accepts both text and image inputs, distributed in NVIDIA's FP4 quantization format — a lower-precision representation that reduces memory footprint and can speed up inference on compatible hardware. Details about its specific reasoning or visual capabilities are limited beyond its open-weight, permissively licensed availability.

Capabilities

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

Multimodal

Moderate

Creative Writing

Moderate

Factual Knowledge

Use Case Fit

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

Glossary

FP4 QuantizationA compression technique that represents model weights using only 4-bit floating-point numbers instead of larger formats, reducing memory usage and speeding up inference.InferenceThe process of running a trained model to generate predictions or outputs from new inputs.Memory FootprintThe amount of RAM or storage space a model requires to run, which is critical for deployment on resource-constrained devices.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.PrecisionThe level of numerical detail a model uses to represent its internal values; higher precision means more accurate calculations but requires more memory.QuantizationReducing a model's numerical precision (e.g., from 16-bit to 4-bit) to shrink memory usage and speed up inference.ReasoningThe model's ability to work through multi-step logical problems and provide justified answers rather than just pattern-matching.