Ornith 1.5 397B FP8

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

Released August 2026context N/A

A large open-weight text model from ornith-ai, released under the MIT license in safetensors format. Details about its specific capabilities, strengths, and behavioral tendencies are limited, making it difficult to characterize its working style beyond its scale at 397 billion parameters quantized to FP8 precision.

Capabilities

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

Reasoning & Logic

Strong

Factual Knowledge

Strong

Long Context

Use Case Fit

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

Ornith 1.5 397B FP8

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

Released August 2026context N/A

A large open-weight text model from ornith-ai, released under the MIT license in safetensors format. Details about its specific capabilities, strengths, and behavioral tendencies are limited, making it difficult to characterize its working style beyond its scale at 397 billion parameters quantized to FP8 precision.

Capabilities

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

Reasoning & Logic

Strong

Factual Knowledge

Strong

Long Context

Use Case Fit

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

Glossary

FP8 PrecisionA data format that stores numbers using 8 bits instead of the standard 32 bits, significantly reducing memory requirements with minimal quality loss.MIT LicenseA permissive open-source license that allows free use, modification, and distribution of software with minimal restrictions.ParametersThe learned numerical values in a model — more parameters generally means more capacity but higher compute cost.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.SafetensorsA safe, fast file format for storing model weights, designed to prevent code execution vulnerabilities.Safetensors FormatA secure and efficient file format for storing model weights that prioritizes safety and speed when loading models.Text ModelA language model that processes and generates only text, without support for images, audio, or other media types.