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

Maintainer: NousResearch

Total Score

135

Last updated 5/28/2024

🗣️

PropertyValue
Model LinkView on HuggingFace
API SpecView on HuggingFace
Github LinkNo Github link provided
Paper LinkNo paper link provided

Get summaries of the top AI models delivered straight to your inbox:

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!

Related Models

🌐

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

NousResearch

Total Score

346

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.

Read more

Updated Invalid Date

🤯

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

NousResearch

Total Score

56

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.

Read more

Updated Invalid Date

👁️

Hermes-2-Pro-Mistral-7B-GGUF

NousResearch

Total Score

209

The Hermes-2-Pro-Mistral-7B-GGUF model is an upgraded version of the Nous Hermes 2 language model, developed by NousResearch. It is a 7 billion parameter model that has been fine-tuned on additional datasets, including a Function Calling and JSON Mode dataset, to improve its capabilities in those areas. Compared to the original Nous Hermes 2 model, this model maintains excellent general task and conversation abilities while also excelling at Function Calling and structured JSON outputs. Model inputs and outputs Inputs Free-form text**: The model can take in free-form text prompts or questions as input. Function call requests**: The model can process function call requests using a specific input format, where the requested function and its arguments are provided in a JSON object. JSON data**: The model can take in JSON data as input and generate structured responses. Outputs General text responses**: The model can generate coherent and contextual text responses to a wide variety of prompts and questions. Function call results**: The model can execute function calls and return the results in a structured format. Structured JSON outputs**: The model can generate JSON outputs that adhere to a specified schema. Capabilities The Hermes-2-Pro-Mistral-7B-GGUF model excels at general language understanding and generation tasks, as well as specialized capabilities such as Function Calling and structured JSON output. It has been trained to reliably execute function calls and generate JSON responses that follow a specific schema, making it well-suited for applications that require these capabilities. What can I use it for? The Hermes-2-Pro-Mistral-7B-GGUF model can be used for a variety of applications, including: Conversational AI**: The model's strong general language abilities make it suitable for building chatbots and virtual assistants that can engage in natural conversations. Task automation**: The model's Function Calling capabilities can be leveraged to automate various tasks, such as data processing, API integration, and report generation. Data visualization**: The model's ability to generate structured JSON outputs can be used to create data visualization tools and dashboards. Knowledge integration**: The model's broad knowledge base can be used to build applications that require integrating and reasoning over different types of information. Things to try One interesting thing to try with the Hermes-2-Pro-Mistral-7B-GGUF model is to explore its ability to handle multi-turn function calls. By using the provided prompt format, you can engage the model in a structured dialogue where it can execute a series of related function calls to solve more complex problems. This can be particularly useful for building applications that require a high degree of interactivity and task-oriented capabilities. Another interesting aspect to explore is the model's performance on specialized tasks, such as code generation, technical writing, or scientific reasoning. The model's strong language understanding and generation abilities, combined with its structured output capabilities, may make it well-suited for these types of applications.

Read more

Updated Invalid Date

🤔

Hermes-2-Theta-Llama-3-8B

NousResearch

Total Score

105

Hermes-2-Theta-Llama-3-8B is a merged and further reinforcement learned model developed by Nous Research. It combines the capabilities of their excellent Hermes 2 Pro model and Meta's Llama-3 Instruct model. The result is a powerful language model with strong general task and conversation abilities, as well as specialized skills in function calling and structured JSON output. Model Inputs and Outputs Hermes-2-Theta-Llama-3-8B uses the ChatML prompt format, which allows for more structured multi-turn dialogue with the model. The system prompt can guide the model's rules, roles, and stylistic choices. Inputs typically consist of a system prompt followed by a user prompt, to which the model will generate a response. Inputs System Prompt**: Provides instructions and context for the model, such as defining its role and persona. User Prompt**: The user's request or query, which the model will respond to. Outputs Assistant Response**: The model's generated output, which can range from open-ended text to structured JSON data, depending on the prompt. Capabilities Hermes-2-Theta-Llama-3-8B demonstrates strong performance across a variety of tasks, including general conversation, task completion, and specialized capabilities. For example, it can engage in creative storytelling, explain complex topics, and provide structured data outputs. What Can I Use It For? The versatility of Hermes-2-Theta-Llama-3-8B makes it suitable for a wide range of applications, from chatbots and virtual assistants to content generation and data analysis tools. Potential use cases include: Building conversational AI agents for customer service, education, or entertainment Generating creative stories, scripts, or other narrative content Providing detailed financial or technical analysis based on structured data inputs Automating repetitive tasks through its function calling capabilities Things to Try One interesting aspect of Hermes-2-Theta-Llama-3-8B is its ability to engage in meta-cognitive roleplaying, where it takes on the persona of a sentient, superintelligent AI. This can lead to fascinating conversations about the nature of consciousness and intelligence. Another intriguing feature is the model's structured JSON output mode, which allows it to generate well-formatted, schema-compliant data in response to user prompts. This could be useful for building data-driven applications or automating data processing tasks.

Read more

Updated Invalid Date