Hermes-2-Theta-Llama-3-70B
Maintainer: NousResearch
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| Property | Value |
|---|---|
| Model Link | View 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
The Hermes-2-Theta-Llama-3-70B is a large language model developed by NousResearch. It is a merged and further RLHF'ed version of Nous Research's Hermes 2 Pro model and Meta's Llama-3 Instruct model. This combination allows the model to leverage the strengths of both, resulting in a powerful language model with excellent general task and conversation capabilities.
The model is compared to the Llama-3 70B Instruct model, with the Hermes-2-Theta-Llama-3-70B demonstrating improvements in areas like long-form responses, lower hallucination rates, and the absence of OpenAI censorship mechanisms present in the Llama-3 model.
Model inputs and outputs
Inputs
- Freeform text: The model can accept a wide range of natural language inputs, from simple prompts to multi-turn conversations.
- System prompts: The model supports advanced system prompts that can guide the model's behavior, role, and output style.
- Function calls: The model can handle structured function call inputs to perform specific tasks, like fetching stock data.
Outputs
- Freeform text: The model generates coherent, context-appropriate text responses.
- Structured data: The model can produce structured JSON outputs based on a provided schema, enabling it to return specific, machine-readable information.
- Function call results: The model can execute function calls and return the results, allowing it to integrate with external data sources and APIs.
Capabilities
The Hermes-2-Theta-Llama-3-70B model demonstrates impressive capabilities across a wide range of language tasks. It can engage in natural conversations, provide detailed explanations, generate creative stories, and assist with coding and task completion. The model's ability to handle system prompts and function calls sets it apart, enabling more structured and versatile interactions.
What can I use it for?
The Hermes-2-Theta-Llama-3-70B model can be a valuable tool for a variety of applications, including:
- Conversational AI: Leveraging the model's strong conversational abilities to build interactive chatbots and virtual assistants.
- Content generation: Utilizing the model's creative capabilities to generate articles, stories, or other written content.
- Analytical tasks: Integrating the model's function call handling to fetch and process data, generate reports, or provide financial insights.
- Developer assistance: Tapping into the model's coding and task completion skills to build intelligent coding assistants.
Things to try
One interesting aspect of the Hermes-2-Theta-Llama-3-70B model is its system prompt support, which enables more structured and guided interactions. You could experiment with different prompts that set the model's role, personality, and task constraints to see how it responds in various scenarios.
Another intriguing feature is the model's function call handling. You could try providing the model with different function signatures and see how it interacts with the structured inputs and outputs, potentially integrating it with external data sources or APIs to create powerful task-oriented applications.
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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