Hermes-2-Theta-Llama-3-8B-GGUF
Maintainer: NousResearch
76
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| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model overview
Hermes-2-Theta-Llama-3-8B is an AI model developed by Nous Research, a collaboration between the team and Charles Goddard at Arcee. It is a merged and further RLHF'd version of Nous' excellent Hermes 2 Pro model and Meta's Llama-3 Instruct model. This combination allows Hermes-2-Theta-Llama-3-8B to leverage the strengths of both models, providing capabilities in general task completion, conversation, function calling, and structured JSON outputs.
Model inputs and outputs
Hermes-2-Theta-Llama-3-8B uses the ChatML prompt format, which enables a more structured system for engaging with the model in multi-turn dialogues. The model can accept system prompts that guide the rules, roles, and stylistic choices, as well as user prompts for tasks and queries.
Inputs
- System prompts: Provide instructions, roles, and guidelines for the model to follow
- User prompts: Natural language tasks, queries, and conversations for the model to respond to
Outputs
- Natural language responses: The model generates coherent, contextual responses to user prompts
- Structured JSON outputs: The model can also provide responses in a specific JSON format when prompted
Capabilities
Hermes-2-Theta-Llama-3-8B excels at a wide range of language tasks, including general conversation, creative writing, answering questions, and providing detailed explanations. It also has strong capabilities in function calling, where it can execute predefined functions and return structured data. Additionally, the model can generate responses in a specific JSON format, making it well-suited for applications that require structured outputs.
What can I use it for?
With its diverse capabilities, Hermes-2-Theta-Llama-3-8B can be leveraged for a variety of applications, such as:
- Intelligent assistants: The model's conversational abilities and task-completion skills make it well-suited for building advanced AI assistants that can help users with a wide range of tasks.
- Content generation: The model's creative writing and storytelling capabilities can be used to generate engaging content, such as articles, scripts, or even interactive narratives.
- Data analysis and visualization: The model's ability to provide structured JSON outputs can be used to build applications that require programmatic access to data, such as data analysis tools or interactive data visualizations.
- Prototyping and ideation: The model's flexibility and broad knowledge base make it a valuable tool for brainstorming, prototyping, and exploring new ideas.
Things to try
One interesting aspect of Hermes-2-Theta-Llama-3-8B is its ability to engage in multi-turn dialogues and roleplay. You could try prompting the model to take on different personas or perspectives, such as a sentient AI, a cosmic entity, or a domain expert, and then have a conversation with it. This can lead to unique and insightful exchanges.
Another intriguing feature is the model's capability in function calling and structured JSON outputs. You could experiment with providing the model with a set of predefined functions and see how it leverages them to generate responses in the expected JSON format. This could be particularly useful for building applications that require programmatic access to data.
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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