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Ornith 1.0 35B

Open weights
Open LLM ornith-ai Docs ↗
Model spec
Provider
ornith-ai
Context window
-
Max output
-
Input price
-
Output price
-
License
See model card
Open weights
Yes

Ornith 1.0 35B is an open-weight, multimodal model from ornith-ai, capable of processing both text and visual inputs. As a 35B parameter model with unspecified context length, it joins a growing category of openly available large language models that researchers and developers can modify and deploy. The model’s multimodal approach distinguishes it from text-only open models in its class.

The model’s open-weight nature makes it particularly relevant for researchers studying model architectures, developers needing full control over their AI systems, and organizations wary of proprietary model restrictions. Its vision capabilities suggest applications in document processing or media analysis where images accompany text.

Potential adopters should verify the model’s performance for specific use cases, as no benchmarks or context window specifications are provided. Teams comfortable with self-hosting and requiring multimodal capabilities may find it worth evaluating alongside similar open models.

Modality

TextVision

Use cases

Multimodal content generation combining text and imagesVisual question answering tasksDocument understanding with embedded imagesOpen-ended research on large multimodal modelsExperimenting with open-weight model architectures

Pros & cons

Pros

  • Open-weight design allows for full transparency and customization
  • Multimodal capabilities (text + vision) enable diverse applications
  • Publicly available for download and experimentation

Cons

  • No specified context window limits potential use cases
  • Lack of pricing information for commercial deployment considerations
  • Unknown performance characteristics without benchmark data

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Read the official docs

Ornith 1.0 35B

View documentation