Hermes-2-Pro-Llama-3-8B

Maintainer: NousResearch

Total Score

325

Last updated 5/19/2024

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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 Hermes-2-Pro-Llama-3-8B model is an upgraded, retrained version of the original Nous Hermes 2 model. It was developed by NousResearch and consists of an updated and cleaned version of the OpenHermes 2.5 Dataset, as well as a newly introduced Function Calling and JSON Mode dataset. Compared to the original Hermes 2, this new version maintains excellent general task and conversation capabilities, while also excelling at Function Calling, JSON Structured Outputs, and other key metrics.

The Hermes-2-Pro-Mistral-7B and Hermes-2-Pro-Mistral-7B-GGUF models are similar, also developed by NousResearch. The 7B version uses the Mistral architecture, while the Llama-3 8B version uses the Llama architecture. Both models leverage the same dataset and fine-tuning approach to provide powerful language understanding and generation capabilities.

Model inputs and outputs

Inputs

  • Text prompts: The model accepts natural language text prompts as input, which can include instructions, questions, or conversational dialogue.
  • Function call inputs: The model can also accept structured function call inputs, where the user specifies the function name and arguments to be executed.
  • JSON schema: For structured output mode, the model expects the user to provide a JSON schema that defines the desired output format.

Outputs

  • Natural language responses: The model generates coherent, contextually relevant natural language responses to the provided prompts.
  • Structured function call outputs: When provided with a function call, the model will output the result of executing that function, formatted as a JSON object.
  • Structured JSON outputs: When prompted with a JSON schema, the model will generate a JSON object that adheres to the specified structure.

Capabilities

The Hermes-2-Pro-Llama-3-8B model excels at a wide range of language tasks, including general conversation, task completion, and structured data processing. It has been evaluated to have 91% accuracy on function calling tasks and 84% accuracy on JSON structured output tasks, demonstrating its strong capabilities in these areas.

Some key capabilities of the model include:

  • Engaging in natural language conversations and providing helpful, informative responses
  • Executing specific functions or tasks based on provided inputs and returning the results in a structured format
  • Generating JSON outputs that adhere to a predefined schema, enabling integration with downstream applications that require structured data

What can I use it for?

The Hermes-2-Pro-Llama-3-8B model could be useful for a variety of applications that require advanced language understanding and generation, such as:

  • Conversational assistants: The model's strong conversational abilities make it well-suited for building chatbots, virtual assistants, and other interactive applications.
  • Task automation: The model's function calling capabilities allow it to be integrated into workflows that require the execution of specific tasks or the generation of structured data outputs.
  • Data processing and transformation: The model's structured output generation capabilities can be leveraged to convert unstructured text into formatted data, facilitating integration with other systems and applications.

Things to try

One interesting aspect of the Hermes-2-Pro-Llama-3-8B model is its ability to handle multi-turn function calling interactions. By using the provided system prompt and structured input format, users can engage the model in a back-and-forth dialogue, where the model executes functions, returns the results, and the user can then provide additional input or instructions.

Another compelling feature is the model's structured JSON output generation. By defining a specific JSON schema, users can prompt the model to generate outputs that adhere to a predefined structure, enabling seamless integration with other systems and applications that require structured data.

Overall, the Hermes-2-Pro-Llama-3-8B model offers a powerful combination of natural language understanding, task execution, and structured data generation capabilities, making it a versatile tool for a wide range of language-based 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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