Nous-Hermes-2-Yi-34B-GGUF
Maintainer: NousResearch
43
🔎
| 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
The Nous-Hermes-2-Yi-34B-GGUF is a state-of-the-art language model fine-tuned by NousResearch on a large dataset of primarily GPT-4 generated data, as well as other high-quality open datasets. This model builds upon the previous Nous Hermes 2 - Yi-34B model, offering improved performance across a variety of benchmarks.
Compared to similar models like Nous-Hermes-2-Yi-34B and nous-hermes-2-yi-34b-gguf, the Nous-Hermes-2-Yi-34B-GGUF leverages the GGUF quantization technique to achieve high performance while reducing the model size and memory footprint.
Model inputs and outputs
The Nous-Hermes-2-Yi-34B-GGUF is a text-to-text model, accepting natural language prompts as input and generating relevant text responses. It can handle a wide range of tasks, from open-ended conversations to more structured outputs like code generation and question answering.
Inputs
- Natural language prompts: The model accepts free-form text prompts covering a variety of topics and tasks.
Outputs
- Generated text responses: The model produces coherent, contextually relevant text responses to the input prompts.
Capabilities
The Nous-Hermes-2-Yi-34B-GGUF model demonstrates impressive capabilities across many benchmarks, outperforming previous Nous Hermes and Open-Hermes models. It excels at tasks like discussing complex topics (e.g., the laws of gravity), generating creative content (e.g., creating a Flask-based FTP server), and providing accurate and informative responses.
What can I use it for?
The Nous-Hermes-2-Yi-34B-GGUF model can be a valuable tool for a wide range of applications, from content creation and language modeling to conversational AI and task-oriented assistants. Some potential use cases include:
- Chatbots and virtual assistants: The model's strong conversational abilities and broad knowledge make it a suitable foundation for building engaging and helpful chatbots and virtual assistants.
- Content generation: The model can be used to generate high-quality text content, such as articles, stories, or scripts, across a variety of topics and genres.
- Question answering and information retrieval: The model's ability to provide concise and informative responses makes it useful for building question-answering systems and search engines.
- Code generation and programming assistance: The model's demonstrated skills in code generation and task completion can be leveraged to build tools that aid software developers.
Things to try
One interesting aspect of the Nous-Hermes-2-Yi-34B-GGUF model is its strong performance on benchmarks that test reasoning and logical deduction, such as the BigBench suite. This suggests that the model may be particularly well-suited for tasks that require complex problem-solving and analytical skills.
Developers and researchers could explore using the model for tasks that involve logical reasoning, such as building systems that can assist with scientific research, data analysis, or even legal reasoning. Additionally, the model's advanced language understanding capabilities could be leveraged to create more natural and intuitive conversational interfaces for various applications.
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
⚙️
Nous-Hermes-2-Yi-34B
232
Nous-Hermes-2-Yi-34B is a state-of-the-art Yi Fine-tune developed by NousResearch. It was trained on 1,000,000 entries of primarily GPT-4 generated data, as well as other high quality data from open datasets across the AI landscape. This model outperforms previous Nous-Hermes and Open-Hermes models, achieving new heights in benchmarks like GPT4All, AGIEval, and BigBench. It surpasses many popular finetuned models as well. Model inputs and outputs Inputs Text prompts**: The model accepts text prompts as input, which can be used to generate a wide variety of text outputs. Outputs Generated text**: The model can generate coherent, contextually relevant text in response to the provided input prompts. This includes discussions about complex topics like gravity, code generation, and more. Capabilities The Nous-Hermes-2-Yi-34B model demonstrates impressive capabilities across a range of tasks. It can engage in substantive discussions about scientific concepts, generate functional code snippets, and even roleplay as fictional characters. The model's strong performance on benchmarks like GPT4All, AGIEval, and BigBench indicates its broad competence. What can I use it for? The Nous-Hermes-2-Yi-34B model could be useful for a variety of applications that require advanced natural language processing and generation, such as: Chatbots and virtual assistants Content generation for blogs, articles, or social media Code generation and programming assistance Research and experimentation in the field of artificial intelligence Things to try One interesting aspect of the Nous-Hermes-2-Yi-34B model is its ability to engage in multi-turn dialogues and follow complex instructions, as demonstrated in the examples provided. Users could experiment with prompts that involve longer-form interactions or task completion to further explore the model's capabilities.
Updated Invalid Date
🤯
Hermes-2-Theta-Llama-3-8B-GGUF
76
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.
Updated Invalid Date
📉
Nous-Hermes-Llama2-70b
82
The Nous-Hermes-Llama2-70b is a state-of-the-art language model fine-tuned by NousResearch on over 300,000 instructions. This model builds upon the Hermes model on Llama-1, expanding its capabilities with a larger training dataset and improved fine-tuning process. The Nous-Hermes-Llama2-13b and Nous-Hermes-Llama-2-7b are similar models fine-tuned by the same team, with some variations in dataset composition and training details. Model inputs and outputs Inputs Instruction**: A natural language description of a task or query for the model to complete. Input**: Additional context or information provided alongside the instruction. Outputs Response**: The model's generated output, which aims to appropriately complete the provided instruction or input. Capabilities The Nous-Hermes-Llama2-70b model stands out for its ability to provide long, coherent responses with a lower hallucination rate compared to previous Hermes models. It excels at a wide range of language tasks, from creative text generation to following complex instructions. What can I use it for? The Nous-Hermes-Llama2-70b model can be used for a variety of applications, such as: Building conversational AI assistants that can engage in natural dialogue and complete tasks Generating creative content like stories, articles, or poetry Providing instructional or explanatory responses on a wide range of topics For example, you could use the LM Studio interface to interact with the model in a ChatGPT-style conversation, or integrate it into a Discord chatbot for roleplaying or other interactive applications. Things to try One interesting aspect of the Nous-Hermes-Llama2-70b model is its ability to provide long, detailed responses without excessive hallucination. You could try prompting the model with open-ended questions or tasks that require a thorough explanation, and observe how it is able to break down the problem and provide a comprehensive answer. Additionally, the model's strong performance on benchmarks like AGIEval, BigBench, and GPT4All suggests it could be a powerful tool for a variety of reasoning and analytical tasks. You might experiment with prompts that require logical deduction, problem-solving, or task completion to see how the model responds.
Updated Invalid Date
nous-hermes-2-yi-34b-gguf
31
Nous Hermes 2 - Yi-34B is a state-of-the-art language model developed by kcaverly. It is a fine-tuned version of the GPT-4 language model, trained on synthetic data generated by GPT-4. This model is part of the Nous series of models created by kcaverly, which also includes similar models like llava-v1.6-34b and llava-13b. Model inputs and outputs The Nous Hermes 2 - Yi-34B model takes a prompt as input and generates a response. The prompt can be a natural language instruction, question, or statement. The model's output is a continuation of the input text, with the model generating new text based on the provided prompt. Inputs Prompt**: The instruction or text for the model to continue or respond to. Outputs Generated Text**: The model's response, which continues or builds upon the provided prompt. Capabilities The Nous Hermes 2 - Yi-34B model is capable of engaging in a wide range of language tasks, including question answering, text generation, summarization, and more. It can be used to assist with tasks such as content creation, research, and language learning. What can I use it for? The Nous Hermes 2 - Yi-34B model can be utilized for a variety of applications, such as: Content Creation**: Generate creative and informative text for blog posts, articles, or stories. Language Learning**: Use the model to practice conversational skills or to generate content for language learners. Research Assistance**: Leverage the model's knowledge to help with literature reviews, summarization, or answering questions on a variety of topics. Things to try Experiment with different prompts and prompt styles to see the range of responses the Nous Hermes 2 - Yi-34B model can generate. Try prompts that require more open-ended or creative responses, as well as those that focus on specific tasks or domains. Observe how the model's outputs vary based on the prompts and your adjustments to the input parameters.
Updated Invalid Date