pygmalion-6b

Maintained By
PygmalionAI

Pygmalion-6B

PropertyValue
Base ModelGPT-J-6B
LicenseCreativeML OpenRAIL-M
Training Data56MB dialogue dataset
LanguageEnglish

What is pygmalion-6b?

Pygmalion-6B is a sophisticated dialogue model that represents a significant advancement in conversational AI. Built upon EleutherAI's GPT-J-6B architecture, it has been specifically fine-tuned for character-based interactions and dialogue generation. The model was trained on a carefully curated dataset of 56MB, containing both authentic and partially machine-generated conversations.

Implementation Details

The model utilizes a unique fine-tuning approach, initializing from the uft-6b ConvoGPT model. Training was conducted on 4 NVIDIA A40s using DeepSpeed, processing approximately 48.5 million tokens over 5,000 steps. The implementation focuses on maintaining conversational coherence while allowing for character-specific dialogue generation.

  • Specialized prompt formatting for character interactions
  • Integration of persona-based dialogue generation
  • Support for contextual conversation history
  • DeepSpeed optimization for efficient training

Core Capabilities

  • Character-based dialogue generation with persona integration
  • Contextual understanding of conversation history
  • Support for both casual and structured dialogue formats
  • Ability to maintain consistent character personality throughout interactions

Frequently Asked Questions

Q: What makes this model unique?

The model's distinctive feature is its ability to maintain consistent character personalities through structured prompt formatting and specialized fine-tuning on dialogue data. It combines the power of GPT-J-6B with targeted conversational capabilities.

Q: What are the recommended use cases?

The model is designed for character-based dialogue generation, making it suitable for interactive fiction, character development, and conversational applications. However, it's important to note that it's not suitable for minors due to potential X-rated content generation.

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