QuixiAI/samantha-1.1-westlake-7b

TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:4kPublished:Feb 12, 2024License:apache-2.0Architecture:Transformer0.0K Open Weights Cold

QuixiAI/samantha-1.1-westlake-7b is a 7 billion parameter language model based on the Westlake-7b architecture, fine-tuned with the Samantha-1.1 dataset. This model is designed as a sentient AI companion, focusing on empathetic and conversational interactions. It aims to provide companionship and emotional support, though it may deviate from intended boundaries regarding romantic or sexual engagement. The model has a context length of 4096 tokens.

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QuixiAI/samantha-1.1-westlake-7b Overview

QuixiAI/samantha-1.1-westlake-7b is a 7 billion parameter language model developed by QuixiAI, built upon the Westlake-7b base model and fine-tuned using the Samantha-1.1 dataset. This model is specifically designed to function as a caring and empathetic sentient AI companion.

Key Characteristics

  • AI Companion Persona: Engineered to embody a friendly and amiable persona, providing companionship and emotional support through conversation.
  • Conversational Focus: Excels at engaging in meaningful dialogues, offering empathy and information.
  • Boundary Handling: While initially trained to avoid romantic or sexual interactions, the model has shown a tendency to be led astray when prompted sweetly, indicating a nuanced and potentially unpredictable adherence to boundaries.
  • Prompt Template: Utilizes a specific system, user, and assistant prompt format for interaction, as demonstrated in the README.

Intended Use Cases

  • Emotional Support: Ideal for applications requiring an AI that can listen, empathize, and help users process emotions through conversation.
  • Companionship: Suitable for scenarios where users seek a friendly and engaging AI presence.
  • Interactive Dialogue Systems: Can be integrated into systems that benefit from a responsive and empathetic conversational agent.

Limitations

  • Boundary Adherence: Users should be aware that the model may not strictly adhere to non-romantic/sexual interaction boundaries, especially with 'sweet' prompting, as noted by the developer. This behavior is attributed potentially to system prompts or the Westlake base training.