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

Maintainer: NousResearch - Last updated 6/1/2024

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Model overview

Hermes-2-Pro-Llama-3-8B-GGUF is an upgraded version of the Nous Hermes 2 model, developed by NousResearch. It 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 developed in-house. This new version maintains the excellent general task and conversation capabilities of the previous Hermes model, while also excelling at Function Calling, JSON Structured Outputs, and improving on several other metrics. The Hermes-2-Pro-Llama-3-8B-GGUF model is a quantized version of the 8B parameter Hermes 2 Pro model, optimized for faster inference on CPU and GPU.

The similar Hermes-2-Pro-Llama-3-8B model is the full unquantized version of this model, while the Hermes-2-Pro-Mistral-7B-GGUF and Hermes-2-Pro-Mistral-7B models use the Mistral architecture instead of Llama.

Model inputs and outputs

Inputs

  • Text prompts: The model accepts text prompts as input, which can include instructions, questions, or open-ended requests.

Outputs

  • Text responses: The model generates coherent, contextually relevant text responses to the provided input prompts.
  • Structured JSON outputs: The model can also generate structured JSON output in response to prompts that require specific data formats.
  • Function calls: The model supports a special prompt format that allows users to call external functions and receive the results as part of the model's response.

Capabilities

The Hermes-2-Pro-Llama-3-8B-GGUF model excels at a wide range of language tasks, including general conversation, task completion, and structured data output. It has been specifically trained to handle function calling and JSON mode prompts, allowing it to provide reliable and easy-to-parse responses for these use cases.

The model's strengths include its long responses, low hallucination rate, and the absence of censorship mechanisms that are present in some other language models. It can be used for a variety of applications, from chatbots and virtual assistants to code generation and data analysis.

What can I use it for?

The Hermes-2-Pro-Llama-3-8B-GGUF model can be used for a wide range of applications that require natural language processing and generation, such as:

  • Chatbots and virtual assistants: The model's conversational capabilities make it well-suited for building engaging and informative chatbots and virtual assistants.
  • Content generation: The model can be used to generate creative text, stories, and other types of content.
  • Task automation: The model's ability to handle structured data and function calls makes it useful for automating various tasks, such as data extraction, analysis, and reporting.
  • Code generation: The model's understanding of programming concepts and ability to generate code snippets can be leveraged for code generation and programming assistance tools.

Things to try

One interesting aspect of the Hermes-2-Pro-Llama-3-8B-GGUF model is its support for the ChatML prompt format, which enables more structured and multi-turn interactions with the model. Experimenting with different system prompts and role-playing scenarios can help unlock the model's full potential for conversational interactions and task-oriented applications.

Additionally, the model's function calling and JSON mode capabilities provide opportunities for building intelligent automation tools and data-driven applications. Exploring the model's ability to seamlessly integrate with external APIs and data sources can lead to innovative use cases.



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

Total Score

136

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