Nous-Hermes-2-Mixtral-8x7B-DPO
Maintainer: NousResearch
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| Property | Value |
|---|---|
| Model Link | View on HuggingFace |
| API Spec | View on HuggingFace |
| Github Link | No Github link provided |
| Paper Link | No paper link provided |
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Model overview
Nous-Hermes-2-Mixtral-8x7B-DPO is the new flagship Nous Research model trained over the Mixtral 8x7B MoE LLM. The model was trained on over 1,000,000 entries of primarily GPT-4 generated data, as well as other high quality data from open datasets across the AI landscape, achieving state of the art performance on a variety of tasks. This is the SFT + DPO version of Mixtral Hermes 2, with an SFT only version also available. The model was developed in collaboration with Together.ai, who sponsored the compute for the many experiments.
Similar models include the Hermes-2-Pro-Mistral-7B and the Nous-Hermes-13B which have their own unique capabilities and use cases.
Model inputs and outputs
Inputs
- Natural language prompts for text generation
- Content for tasks like code generation, summarization, and open-ended conversation
Outputs
- Generated text in response to prompts
- Structured outputs like JSON for tasks like API interaction
- Responses to open-ended questions and conversation
Capabilities
The Nous-Hermes-2-Mixtral-8x7B-DPO model has shown strong performance on a variety of benchmarks, including GPT4All, AGIEval, and BigBench. It demonstrates robust text generation capabilities, as showcased by examples like writing code for data visualization, generating cyberpunk poems, and performing backtranslation. The model also excels at function calling and structured JSON output.
What can I use it for?
The versatile capabilities of Nous-Hermes-2-Mixtral-8x7B-DPO make it useful for a wide range of applications. Some potential use cases include:
- Automated content generation (articles, stories, poems, etc.)
- Code generation and AI-assisted programming
- Conversational AI assistants for customer service or education
- Data analysis and visualization
- Specialized task completion via structured outputs (e.g. APIs, JSON)
Things to try
One interesting thing to explore with Nous-Hermes-2-Mixtral-8x7B-DPO is its ability to engage in multi-turn conversations using the ChatML prompt format. By leveraging system prompts and roles, you can guide the model's responses and prompt it to take on different personas or styles of interaction. This can unlodge novel and creative outputs.
Another avenue to investigate is the model's performance on specialized tasks like function calling and JSON output generation. The maintainers have released evaluation datasets and code to test these capabilities, which could inspire new applications and integrations.
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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