Ornith 1.5 9B NVFP4

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

Released August 2026context N/A

A compact, openly licensed text model from ornith-ai, quantized to NVFP4 precision — meaning it trades some numerical fidelity for reduced memory footprint and faster inference on compatible hardware. Details about its specific capabilities and intended use cases are limited, so its behavioral strengths beyond being a 9B-parameter text-in, text-out model remain unclear.

Capabilities

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

Instruction Following

Moderate

Reasoning & Logic

Moderate

Factual Knowledge

Use Case Fit

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

Ornith 1.5 9B NVFP4

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

Released August 2026context N/A

A compact, openly licensed text model from ornith-ai, quantized to NVFP4 precision — meaning it trades some numerical fidelity for reduced memory footprint and faster inference on compatible hardware. Details about its specific capabilities and intended use cases are limited, so its behavioral strengths beyond being a 9B-parameter text-in, text-out model remain unclear.

Capabilities

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

Instruction Following

Moderate

Reasoning & Logic

Moderate

Factual Knowledge

Use Case Fit

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

Glossary

FidelityThe degree to which a quantized or compressed model preserves the quality and accuracy of the original full-precision model.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.NVFP4 PrecisionA low-precision numerical format optimized by NVIDIA that uses fewer bits per number than standard formats, enabling efficient inference on NVIDIA GPUs while maintaining reasonable accuracy.NVFP4 PrecisionA low-precision numerical format that uses 4 bits per weight, developed by NVIDIA to compress models for efficient inference on consumer hardware.Numerical FidelityThe accuracy and precision with which a model preserves mathematical calculations; lower fidelity means some precision is lost, often as a trade-off for smaller model size.PrecisionThe level of numerical detail a model uses to represent its internal values; higher precision means more accurate calculations but requires more memory.QuantizedA technique that reduces a model's size and memory usage by storing weights with lower precision (fewer bits), trading some accuracy for efficiency.Text ModelA language model that processes and generates only text, without support for images, audio, or other media types.Text-In, Text-OutA model that accepts text as input and produces text as output, without support for images, audio, or other data types.