Nous-Hermes-2-Mixtral-8x7B-SFT
Maintainer: NousResearch
55
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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-SFT is a state-of-the-art language model fine-tuned by NousResearch on over 1 million entries of high-quality data, primarily from GPT-4 generated content. This model was trained on top of the Mixtral 8x7B MoE LLM, achieving state-of-the-art performance on a variety of tasks.
The model is available in both an SFT-only version (Nous-Hermes-2-Mixtral-8x7B-SFT) as well as an SFT+DPO version (Nous-Hermes-2-Mixtral-8x7B-DPO), allowing users to experiment and find the best fit for their needs. The SFT+DPO model further improves performance through the use of Diffusion Prompt Optimization.
Model Inputs and Outputs
Inputs
- Text prompt: The model accepts text prompts as input and generates relevant, coherent responses.
Outputs
- Textual output: The model generates human-like text outputs, ranging from creative writing to task-oriented responses.
Capabilities
The Nous-Hermes-2-Mixtral-8x7B-SFT model has demonstrated strong performance across a variety of benchmarks, including GPT4All, AGIEval, and BigBench. It outperforms the base Mixtral model as well as the Mixtral Finetune by MistralAI in many areas. For example, the model achieves state-of-the-art results on tasks like ARC-challenge, ARC-easy, Hellaswag, and OpenBookQA.
The model's capabilities span a wide range of applications, from writing code for data visualization to generating cyberpunk psychedelic poems. It can also perform useful tasks like backtranslation to create prompts from input text.
What Can I Use It For?
The Nous-Hermes-2-Mixtral-8x7B-SFT model is suitable for a variety of language-related tasks, including:
- Content Generation: Create engaging and coherent text for creative writing, storytelling, and content creation.
- Task Completion: Provide step-by-step instructions and solutions for complex tasks, such as software development, data analysis, and more.
- Question Answering: Answer a wide range of questions by drawing upon the model's broad knowledge base.
- Summarization: Condense lengthy text into concise, informative summaries.
- Translation: Perform high-quality translation between languages.
Things to Try
One interesting aspect of the Nous-Hermes-2-Mixtral-8x7B-SFT model is its use of the ChatML prompt format, which enables more structured and interactive multi-turn dialogues with the model. By utilizing system prompts, users can steer the model's behavior and guide it to adopt specific roles, rules, and stylistic choices.
Another fascinating capability of the model is its ability to generate long-form, coherent responses. This can be useful for tasks that require in-depth explanation, analysis, or storytelling.
Additionally, the availability of quantized versions of the model, such as the GGUF and GPTQ variants, makes the Nous-Hermes-2-Mixtral-8x7B-SFT more accessible and deployable on a wider range of hardware configurations.
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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