Ornith 1.5 122B MLX

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

Released October 2026context N/A

A large open-weight text model from ornith-ai, optimized for the MLX framework used on Apple Silicon hardware. At 122 billion parameters, it brings substantial capacity to local inference workflows. Details about its specific training focus or behavioral tendencies are limited beyond its format and hardware targeting.

Capabilities

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

Coding

Moderate

Multilingual

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 122B MLX

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

Released October 2026context N/A

A large open-weight text model from ornith-ai, optimized for the MLX framework used on Apple Silicon hardware. At 122 billion parameters, it brings substantial capacity to local inference workflows. Details about its specific training focus or behavioral tendencies are limited beyond its format and hardware targeting.

Capabilities

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

Coding

Moderate

Multilingual

Moderate

Creative Writing

Use Case Fit

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

Glossary

Apple SiliconApple's custom-designed processors (like M1, M2, M3) optimized for running machine learning models on Mac computers.InferenceThe process of running a trained model to generate predictions or outputs from new inputs.Local InferenceRunning an AI model directly on your own computer rather than sending data to a remote server, keeping data private and reducing latency.MLXA machine learning framework optimized for running models efficiently on Apple Silicon chips.MLX FrameworkA machine learning framework specifically designed for running AI models efficiently on Apple Silicon hardware.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.