Fallen-Command-A-111B-v1.1

Maintained By
TheDrummer

Fallen-Command-A-111B-v1.1

PropertyValue
AuthorTheDrummer
Model Size111B parameters
FrameworkCohere/Command
Model URLhttps://huggingface.co/TheDrummer/Fallen-Command-A-111B-v1.1

What is Fallen-Command-A-111B-v1.1?

Fallen-Command-A-111B-v1.1 is an advanced language model designed for creative storytelling and roleplay, featuring a unique ability to navigate between moral extremes while maintaining high-quality output. This updated version represents a significant improvement over its predecessor, with enhanced intelligence and creative capabilities while removing artificial constraints on content generation.

Implementation Details

The model is built on the Cohere/Command architecture and is available in multiple formats, including GGUF and iMatrix implementations. It utilizes a 111B parameter architecture, optimized for both performance and versatility in creative applications.

  • Balanced moral flexibility system
  • Enhanced intelligence retention from original Command model
  • Improved creative writing capabilities
  • Reduced artificial positivity constraints

Core Capabilities

  • Dynamic character representation across moral spectrums
  • Enhanced storytelling without artificial restrictions
  • Improved coherence and writing quality
  • Flexible roleplay capabilities
  • Maintained intelligence from original architecture

Frequently Asked Questions

Q: What makes this model unique?

This model's distinctive feature is its ability to maintain a balance between different moral perspectives while delivering high-quality creative content, without the artificial constraints common in other models. It excels in representing complex characters and scenarios while maintaining improved writing quality.

Q: What are the recommended use cases?

The model is particularly suited for creative writing, storytelling, and roleplay scenarios where nuanced character development and unrestricted narrative exploration are desired. It's designed to handle complex narrative scenarios while maintaining high-quality output.

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