Ornith 1.5 35B A3B MLX

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

Released August 2026context N/A

Ornith 1.5 35B A3B MLX is an open-weight text model from ornith-ai, distributed in MLX format — suggesting optimization for Apple Silicon hardware. With 35B total parameters and an A3B designation (likely ~3B active parameters), it appears to use a sparse or mixture-of-experts architecture. Concrete details about its specific capabilities and behavior are limited.

Capabilities

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

Long Context

Moderate

Reasoning & Logic

Moderate

Creative Writing

Use Case Fit

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

Ornith 1.5 35B A3B MLX

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

Released August 2026context N/A

Ornith 1.5 35B A3B MLX is an open-weight text model from ornith-ai, distributed in MLX format — suggesting optimization for Apple Silicon hardware. With 35B total parameters and an A3B designation (likely ~3B active parameters), it appears to use a sparse or mixture-of-experts architecture. Concrete details about its specific capabilities and behavior are limited.

Capabilities

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

Long Context

Moderate

Reasoning & Logic

Moderate

Creative Writing

Use Case Fit

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

Glossary

Active ParametersThe subset of a model's total parameters that are actually used during inference for each input, as opposed to all parameters being used every time.Apple SiliconApple's custom-designed processors (like M1, M2, M3) optimized for running machine learning models on Mac computers.ArchitectureThe underlying structural design of a neural network that defines how data flows through layers and components.MLXA machine learning framework optimized for running models efficiently on Apple Silicon chips.MLX FormatA model format designed specifically for efficient inference on Apple Silicon devices, optimized for the MLX machine learning framework.OptimizationThe process of adjusting model parameters to minimize errors and improve performance.ParametersThe learned numerical values in a model — more parameters generally means more capacity but higher compute cost.Text ModelA language model that processes and generates only text, without support for images, audio, or other media types.