hermes-2-pro-llama-3-8b
Maintainer: lucataco
4
| Property | Value |
|---|---|
| Run this model | Run on Replicate |
| API spec | View on Replicate |
| Github link | View on Github |
| Paper link | No paper link provided |
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Model overview
hermes-2-pro-llama-3-8b is an updated and cleaned version of the OpenHermes 2.5 Dataset, as well as a newly introduced Function Calling and JSON Mode dataset developed by NousResearch. This model maintains excellent general task and conversation capabilities, while also excelling at Function Calling and JSON Structured Outputs. It scored 91% on the Function Calling evaluation and 84% on the Structured JSON Output evaluation.
Model inputs and outputs
hermes-2-pro-llama-3-8b takes in various inputs through a ChatML prompt format, including a system prompt that can provide instructions and guidance to the model. The model is capable of generating text outputs in response to user prompts, as well as executing functions and returning structured JSON responses.
Inputs
- Prompt: The text that the user wants the model to generate a response for.
- System Prompt: An optional prompt that can be used to provide instructions or guidance to the model.
- Function Signatures: When using the Function Calling mode, the model is provided with function signatures within
<tools>XML tags.
Outputs
- Text Generation: The model can generate natural language responses to user prompts.
- Function Calls: When in Function Calling mode, the model can return JSON objects with function names and arguments within
<tool_call>XML tags. - Structured JSON: The model can also be prompted to return a JSON object response in a specific schema.
Capabilities
hermes-2-pro-llama-3-8b excels at general tasks and conversations, as well as more specialized capabilities like Function Calling and Structured JSON Outputs. It can assist with a wide range of applications, from creative writing to data analysis and coding tasks.
What can I use it for?
You can use hermes-2-pro-llama-3-8b for a variety of applications, such as:
- Creative Writing: Generate short stories, plot outlines, or character descriptions.
- Data Analysis: Fetch and summarize financial data, like stock fundamentals, using the Function Calling mode.
- Coding Assistance: Get help with coding tasks, such as explaining concepts or generating code snippets.
- Structured Outputs: Obtain responses in a specific JSON format, which can be useful for building applications that require structured data.
Things to try
Try prompting the model with a variety of tasks, from open-ended conversations to more specialized requests like fetching stock data or generating a detailed plot summary. Experiment with the different prompt formats, including the ChatML system prompt, to see how the model responds and how you can leverage its capabilities.
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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