Inkling Small NVFP4

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

Released July 2026context N/A

Inkling Small NVFP4 is a compact, open-weight multimodal model that accepts both text and image inputs. The NVFP4 format suggests it's optimized for efficient inference on NVIDIA hardware using low-precision quantization, trading some numerical precision for speed and reduced memory footprint. Details about its specific reasoning or task capabilities are limited beyond its multimodal input support.

Capabilities

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

Multimodal

Moderate

Instruction Following

Moderate

Factual Knowledge

Use Case Fit

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

Inkling Small NVFP4

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

Released July 2026context N/A

Inkling Small NVFP4 is a compact, open-weight multimodal model that accepts both text and image inputs. The NVFP4 format suggests it's optimized for efficient inference on NVIDIA hardware using low-precision quantization, trading some numerical precision for speed and reduced memory footprint. Details about its specific reasoning or task capabilities are limited beyond its multimodal input support.

Capabilities

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

Multimodal

Moderate

Instruction Following

Moderate

Factual Knowledge

Use Case Fit

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

Glossary

InferenceThe process of running a trained model to generate predictions or outputs from new inputs.Low-PrecisionUsing fewer bits to represent numbers in a model, which speeds up computation and reduces memory usage at the cost of some accuracy.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 InputThe ability to accept and process multiple types of input data simultaneously, such as both images and text in the same request.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.