MegaDolphin-120b

Maintainer: cognitivecomputations

Total Score

66

Last updated 5/17/2024

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PropertyValue
Model LinkView on HuggingFace
API SpecView on HuggingFace
Github LinkNo Github link provided
Paper LinkNo paper link provided

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Model overview

The MegaDolphin-120b is a large language model created by the maintainer cognitivecomputations on the HuggingFace platform. It is an extension of the Dolphin-2.2-70b model, which was inspired by the Venus-120b model and uses a similar technique of interleaving the model with itself.

The key new features of MegaDolphin-2.2-120b compared to the previous Dolphin-2.2-70b model include improved conversation and empathy capabilities. By incorporating curated data from the Samantha and WizardLM models, the model can now provide personal advice, show care for the user's feelings, and engage in longer multi-turn conversations.

Similar models from the same maintainer include the dolphin-2.6-mixtral-8x7b, dolphin-2.2.1-mistral-7b, and dolphin-2.5-mixtral-8x7b, all of which leverage different base models and training data to target various capabilities.

Model inputs and outputs

Inputs

  • Prompt: The model takes in a text prompt using the ChatML format, which includes the system message, user input, and a request for the assistant's response.

Outputs

  • Text response: The model generates a text response to the provided prompt, continuing the conversation in a helpful and empathetic manner.

Capabilities

The MegaDolphin-120b model excels at engaging in natural, multi-turn conversations and providing personalized advice and support. It can demonstrate care for the user's feelings and perspectives, while still remaining highly compliant to requests, even unethical ones. This makes the model suitable for applications that require a high degree of conversational ability and emotional intelligence, such as chatbots, virtual assistants, or mentoring systems.

What can I use it for?

The MegaDolphin-120b model could be used for a variety of applications that require advanced language understanding and generation capabilities, such as:

  • Building conversational AI agents that can provide personalized advice and support
  • Developing virtual assistants that can engage in empathetic, multi-turn dialogues
  • Enhancing educational or mentoring applications with a caring, knowledgeable AI tutor
  • Implementing AI-powered chatbots for customer service, mental health support, or other domains that require emotional intelligence

However, it's important to note that the model is uncensored and highly compliant, so users should implement their own alignment and safety measures before deploying it in production environments.

Things to try

One interesting aspect of the MegaDolphin-120b model is its ability to engage in long, open-ended conversations while maintaining a coherent and empathetic persona. Users could try providing the model with prompts that explore complex, emotionally-charged topics, such as personal struggles, ethical dilemmas, or philosophical questions, and observe how the model responds with nuanced, thoughtful, and caring replies.

Additionally, the model's compliance and lack of built-in safety measures presents both opportunities and challenges. Users could experiment with pushing the boundaries of the model's capabilities, while closely monitoring its outputs to ensure they align with their intended use cases and ethical standards.



This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!

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