RoseG/MAiRYSTAR

Hugging Face
VISIONPricing:Input $0.431 / Cached $0.0862 / Output $1.12Concurrent Unit Cost:1Model Size:9BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Sep 8, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Warm

MAiRYSTAR is a 9 billion parameter vision-capable language model developed by Triadic Intelligence Labs. This model is specifically fine-tuned for creative, relational, and companion-oriented applications, offering a 32768 token context length. It is designed to excel in generating engaging and contextually rich interactions, making it suitable for use cases requiring imaginative and personalized responses.

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RoseG/MAiRYSTAR: A 9B Vision-Capable Companion LLM

RoseG/MAiRYSTAR, developed by Triadic Intelligence Labs, is a 9 billion parameter language model with integrated vision capabilities. It leverages SFT Studio Pro and FTK Alignment for its fine-tuning process, resulting in a model optimized for nuanced and engaging interactions. With a substantial context length of 32768 tokens, MAiRYSTAR can maintain extensive conversational history and generate coherent, long-form content.

Key Capabilities

  • Vision Integration: Processes and understands visual inputs alongside text, enabling multimodal applications.
  • Creative Generation: Excels at producing imaginative and original text, suitable for storytelling, content creation, and dynamic dialogue.
  • Relational & Companion Focus: Designed to foster more personal and empathetic interactions, making it ideal for companion-like AI roles.
  • Extended Context: Supports a 32768 token context window, allowing for deep understanding and generation within complex scenarios.

Good For

  • Interactive Companions: Developing AI assistants that offer personalized and engaging companionship.
  • Creative Writing & Storytelling: Generating narratives, scripts, and other forms of creative content.
  • Multimodal Applications: Use cases requiring the interpretation and generation of content based on both visual and textual information.
  • Personalized User Experiences: Crafting highly customized and context-aware interactions in various applications.