Hermes-3-Llama-3.1-8B
Maintainer: NousResearch
179
📊
| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
Create account to get full access
Model overview
Hermes-3-Llama-3.1-8B is the latest version of the Hermes series of large language models (LLMs) developed by NousResearch. It is a generalist LLM with many improvements over the previous Hermes 2 model, including advanced agentic capabilities, better roleplaying, reasoning, multi-turn conversation, and long context coherence. The Hermes series focuses on aligning LLMs to the user with powerful steering capabilities and user control.
Model inputs and outputs
Hermes-3-Llama-3.1-8B uses the ChatML prompt format, which provides a more structured system for engaging the LLM in multi-turn chat dialogue. System prompts allow for steerability and interesting new ways to interact with the model, guiding rules, roles, and stylistic choices.
Inputs
- System prompts that define the model's role, purpose, personality, and capabilities
- User prompts and messages in a multi-turn chat format
Outputs
- Coherent, contextual responses to user prompts and messages
- Structured outputs like JSON objects when prompted
- Function call outputs when prompted with a function signature
Capabilities
Hermes-3-Llama-3.1-8B is competitive with or superior to Llama-3.1 Instruct models at general capabilities, with particular strengths in areas like reasoning, task completion, and multi-turn dialogue. It can engage in open-ended conversation, answer questions, generate text, and complete a variety of other tasks.
The model also has advanced capabilities for function calling and structured outputs. It can parse function signatures, call the specified functions, and return the results in a structured JSON format.
What can I use it for?
Hermes-3-Llama-3.1-8B can be used for a wide range of applications that require natural language processing and generation, such as:
- Conversational AI assistants
- Question answering systems
- Text generation for content creation
- Code generation and programming assistance
- Data extraction and manipulation
Things to try
Some interesting things to try with Hermes-3-Llama-3.1-8B include:
- Engaging the model in multi-turn dialogues to explore its reasoning and agentic capabilities
- Prompting the model to generate creative stories or worldbuilding content
- Experimenting with the function calling and structured output capabilities to build custom applications
- Comparing the model's performance to other large language models on various tasks and benchmarks
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-3-Llama-3.1-70B
76
The Hermes-3-Llama-3.1-70B is the latest version of the flagship Hermes series of large language models (LLMs) developed by Nous Research. It is a generalist language model with significant improvements over the previous Hermes 2 model, including advanced agentic capabilities, better roleplaying, reasoning, multi-turn conversation, long context coherence, and overall enhancements across the board. The Hermes series is focused on aligning LLMs to the user, providing powerful steering capabilities and control to the end user. The Hermes-3-Llama-3.1-70B builds upon the Hermes 2 capabilities, with more reliable function calling, structured output generation, and improved code generation skills. Model inputs and outputs Inputs Text prompts**: The model accepts free-form text prompts that can include instructions, context, and requests for the model to respond to. ChatML format**: The model is designed to engage in structured, multi-turn chat dialogues using the ChatML prompt format. This allows for more steerability and interesting ways to interact with the LLM. Function calls**: The model can accept function signatures and arguments in a specific JSON format to call external functions and incorporate their results into the response. Outputs Text responses**: The model generates natural language responses to the provided prompts and requests. Structured outputs**: The model can produce JSON outputs that adhere to a specific schema, enabling it to provide structured data in addition to free-form text. Function call results**: When provided with function calls, the model can incorporate the results into its natural language response. Capabilities The Hermes-3-Llama-3.1-70B model demonstrates strong general capabilities, performing competitively or even exceeding the Llama-3.1 Instruct models across a variety of benchmarks. Some key capabilities of the model include: Agentic and roleplaying abilities**: The model can take on different personas and engage in role-playing scenarios with a high degree of coherence and character consistency. Reasoning and multi-turn conversation**: The model exhibits strong reasoning skills and can maintain context and cohesion across multiple turns of a conversation. Function calling and structured outputs**: The model can effectively utilize function calls to incorporate external data and provide structured JSON responses. Code generation**: The model has improved code generation capabilities compared to previous versions, making it useful for tasks such as programming assistance. What can I use it for? The Hermes-3-Llama-3.1-70B model can be leveraged for a wide range of applications that require a powerful, general-purpose language model. Some potential use cases include: Intelligent virtual assistants**: The model's agentic and conversational abilities make it well-suited for building advanced AI assistants that can engage in natural dialogue and assist users with a variety of tasks. Data annotation and curation**: The model's structured output capabilities can be utilized to generate high-quality annotations or summaries of data, which can be valuable for training machine learning models. Conversational AI applications**: The model's ChatML format and multi-turn conversation skills enable its use in building more engaging and coherent conversational experiences. Coding assistance**: The model's code generation and reasoning abilities can be leveraged to help with programming tasks, such as generating code snippets, providing explanations, and debugging. Things to try One interesting aspect of the Hermes-3-Llama-3.1-70B model is its ability to effectively utilize function calls to incorporate external data and knowledge into its responses. You can experiment with providing the model with different function signatures and arguments to see how it integrates the results into its natural language outputs. Another area to explore is the model's structured output capabilities. By providing the model with a specific JSON schema, you can prompt it to generate responses that adhere to a desired format, which can be useful for tasks such as data annotation or structured data generation. Additionally, the model's strong roleplaying and agentic abilities make it an intriguing platform for building interactive, immersive experiences. You can try providing the model with various persona prompts and observe how it maintains character consistency and engages in dialogues.
Updated Invalid Date
👀
Hermes-3-Llama-3.1-8B-GGUF
75
Hermes-3-Llama-3.1-8B-GGUF is the latest version of the Hermes series of large language models (LLMs) developed by NousResearch. It is a generalist model with advanced capabilities in areas like agentic behavior, roleplaying, reasoning, multi-turn conversation, and long-context coherence. The Hermes series is focused on aligning LLMs to the user, providing powerful steering capabilities and control to the end user. Model inputs and outputs Hermes-3-Llama-3.1-8B-GGUF uses the ChatML prompt format, which enables a more structured system for engaging the LLM in multi-turn chat dialogue. This format allows for the use of system prompts, which can guide rules, roles, and stylistic choices for the model. Inputs Text-based prompts in the ChatML format Outputs Text-based responses in the ChatML format Capabilities Hermes-3-Llama-3.1-8B-GGUF is competitive, if not superior, to the Llama-3.1 Instruct models in general capabilities. It has improvements across the board, including more powerful and reliable function calling, structured output capabilities, generalist assistant capabilities, and better code generation skills. What can I use it for? Hermes-3-Llama-3.1-8B-GGUF can be used for a wide range of natural language processing tasks, such as text generation, summarization, translation, and question answering. Its advanced capabilities make it well-suited for use cases that require agentic behavior, roleplaying, or long-form, coherent responses. Things to try Experiment with the ChatML prompt format to explore the model's capabilities in structured, multi-turn dialogue. Try giving the model different personas or roles to see how it adapts its responses. Additionally, test the model's abilities in tasks that require reasoning, long-context understanding, and structured output generation.
Updated Invalid Date
🔗
Hermes-3-Llama-3.1-405B
115
The Hermes-3-Llama-3.1-405B model is the latest flagship model in the Hermes series of large language models (LLMs) developed by Nous Research. It is a full parameter fine-tune of the Llama-3.1 405B foundation model, focused on aligning the LLM to the user and providing powerful steering capabilities and control. The Hermes 3 series builds on the capabilities of the previous Hermes 2 model, with improvements across the board including advanced agentic capabilities, better roleplaying, reasoning, multi-turn conversation, and long context coherence. Compared to the Llama-3.1 Instruct models, Hermes-3-Llama-3.1-405B is competitive if not superior in general capabilities, with varying strengths and weaknesses. Model inputs and outputs Inputs Hermes-3-Llama-3.1-405B uses the ChatML prompt format, which enables a more structured system for engaging the LLM in multi-turn chat dialogues. This format allows for steerability and interesting ways to interact with the model, guiding rules, roles, and stylistic choices. The model supports specific system prompts and structures for function calling, where the user can provide function signatures and the model will generate a JSON object with the function name and arguments to be executed. The model also supports a JSON mode for structured outputs, where the model will respond only with a JSON object adhering to a provided schema. Outputs The model can generate coherent, fluent text across a wide range of tasks such as general conversation, task completion, and creative writing. In the function calling mode, the model can provide structured, reliable function calls with appropriate arguments. In the JSON mode, the model can generate precise, well-formatted JSON responses according to a specified schema. Capabilities Hermes-3-Llama-3.1-405B is a powerful generalist language model with capabilities spanning general conversation, task completion, reasoning, and more. It has shown strong performance on benchmarks evaluating tasks like reading comprehension, logical reasoning, and natural language inference. The model's advanced agentic capabilities, roleplaying skills, and multi-turn conversation ability make it well-suited for interactive and conversational applications. Its function calling and structured output features also enable seamless integration with other systems and APIs. What can I use it for? The Hermes-3-Llama-3.1-405B model can be used for a variety of applications that require powerful language understanding and generation, such as: Intelligent virtual assistants and chatbots Automated writing and content generation Code generation and programming assistance Data analysis and structured information extraction Decision support and reasoning-based applications The model's ability to follow instructions, engage in multi-turn dialogue, and provide reliable function calls make it particularly well-suited for building interactive, user-friendly AI applications. Things to try Some interesting things to try with the Hermes-3-Llama-3.1-405B model include: Exploring the model's roleplaying and agentic capabilities by giving it different personas or identities to assume Challenging the model with complex reasoning tasks or open-ended prompts to see the breadth of its capabilities Integrating the model's function calling and JSON output features into your own applications and workflows Experimenting with the ChatML prompt format to discover new ways of interacting with and steering the model By leveraging the model's strengths in areas like language understanding, reasoning, and structured output, you can unlock a wide range of possibilities for innovative AI-powered applications.
Updated Invalid Date
👀
Hermes-3-Llama-3.1-8B-GGUF
75
Hermes-3-Llama-3.1-8B-GGUF is the latest version of the Hermes series of large language models (LLMs) developed by NousResearch. It is a generalist model with advanced capabilities in areas like agentic behavior, roleplaying, reasoning, multi-turn conversation, and long-context coherence. The Hermes series is focused on aligning LLMs to the user, providing powerful steering capabilities and control to the end user. Model inputs and outputs Hermes-3-Llama-3.1-8B-GGUF uses the ChatML prompt format, which enables a more structured system for engaging the LLM in multi-turn chat dialogue. This format allows for the use of system prompts, which can guide rules, roles, and stylistic choices for the model. Inputs Text-based prompts in the ChatML format Outputs Text-based responses in the ChatML format Capabilities Hermes-3-Llama-3.1-8B-GGUF is competitive, if not superior, to the Llama-3.1 Instruct models in general capabilities. It has improvements across the board, including more powerful and reliable function calling, structured output capabilities, generalist assistant capabilities, and better code generation skills. What can I use it for? Hermes-3-Llama-3.1-8B-GGUF can be used for a wide range of natural language processing tasks, such as text generation, summarization, translation, and question answering. Its advanced capabilities make it well-suited for use cases that require agentic behavior, roleplaying, or long-form, coherent responses. Things to try Experiment with the ChatML prompt format to explore the model's capabilities in structured, multi-turn dialogue. Try giving the model different personas or roles to see how it adapts its responses. Additionally, test the model's abilities in tasks that require reasoning, long-context understanding, and structured output generation.
Updated Invalid Date