OmniDimen/OmniDimen-2.5-9B-Emotion

VISIONConcurrent Unit Cost:1Model Size:9BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Apr 9, 2026License:mitArchitecture:Transformer0.0K Open Weights Featherless Exclusive Cold

OmniDimen/OmniDimen-2.5-9B-Emotion is a 9 billion parameter language model fine-tuned from Qwen/Qwen3.5-9B, specialized for emotion recognition and emotionally-aware text generation. This model supports a default context length of 262,144 tokens and is provided in safetensor (BF16) and GGUF formats for efficient deployment. It excels at generating text that understands and expresses emotions, making it suitable for applications requiring nuanced emotional interaction.

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OmniDimen-2.5-9B-Emotion: Emotionally-Aware Text Generation

OmniDimen-2.5-9B-Emotion is a 9 billion parameter model, fine-tuned from the Qwen3.5 series, specifically designed for emotion recognition and emotionally-aware text generation. It aims to provide more nuanced and human-like interactions by understanding and generating text with emotional depth.

Key Capabilities

  • Emotion-focused generation: Specialized in producing text that reflects and understands emotional contexts.
  • High context length: Supports a default context window of 262,144 tokens, allowing for complex and extended interactions.
  • Deployment flexibility: Available in safetensor (BF16) and optimized GGUF formats (FP16 & Q4_K_M) for use with platforms like LM Studio, Ollama, and PocketPal, prioritizing inference efficiency.
  • Tool use support: Can be configured for tool use capabilities, leveraging its base Qwen3.5 architecture.
  • Multi-modal adoption: The 2.5 version marks the first time multi-modal capabilities have been adopted in this series.

Good For

  • Emotional interaction: Ideal for applications requiring the model to understand and respond with emotional intelligence.
  • Personalized user experiences: Enhancing chatbots or virtual assistants with more empathetic and contextually aware responses.
  • Creative writing: Generating narratives or dialogues with specific emotional tones.

Important Notes

  • The model is emotion-focused and may not perform as broadly as its base model in general tasks.
  • Users are recommended to inform the model of their identity to reduce AI hallucinations during emotional interactions.
  • Use responsibly, especially with sensitive content.