dolphin-2.9.3-mistral-nemo-12b
Maintainer: cognitivecomputations
64
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| 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 |
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Model overview
The dolphin-2.9.3-mistral-nemo-12b model is a powerful AI assistant created by cognitivecomputations. It is based on the mistralai/Mistral-Nemo-Base-2407 model and has been fine-tuned with additional training data to enhance its capabilities. Compared to similar models like dolphin-2.8-mistral-7b-v02, dolphin-2.2.1-mistral-7b, dolphin-2.6-mistral-7b, and dolphin-2.1-mistral-7b, the dolphin-2.9.3-mistral-nemo-12b model has expanded capabilities, particularly in the areas of instruction following, conversational skills, and coding.
Model inputs and outputs
The dolphin-2.9.3-mistral-nemo-12b model accepts text-based inputs and generates text-based outputs. It uses a ChatML prompt template format, which allows for easy integration into conversational interfaces.
Inputs
- Prompts: The model can accept a wide range of prompts, from open-ended questions to specific instructions, and will generate responses accordingly.
Outputs
- Text responses: The model will generate coherent, contextually relevant text responses based on the input prompt.
Capabilities
The dolphin-2.9.3-mistral-nemo-12b model has a variety of impressive capabilities, including:
- Robust instruction following: The model can understand and follow complex multi-step instructions with high accuracy.
- Engaging conversations: The model can engage in natural, empathetic conversations, drawing from a broad knowledge base.
- Coding assistance: The model can assist with coding tasks, such as explaining programming concepts, debugging code, and generating new code.
What can I use it for?
The dolphin-2.9.3-mistral-nemo-12b model can be a valuable tool for a wide range of applications, including:
- Conversational AI assistants: The model's natural language processing and generation capabilities make it well-suited for building engaging AI chatbots and virtual assistants.
- Content creation: The model can be used to generate helpful, informative content on a variety of topics, such as tutorials, articles, and reports.
- Programming support: Developers can leverage the model's coding skills to streamline their workflow, automate repetitive tasks, and enhance their programming productivity.
Things to try
One interesting thing to try with the dolphin-2.9.3-mistral-nemo-12b model is to engage it in open-ended conversations on a wide range of topics. The model's broad knowledge base and conversational abilities allow for stimulating dialogues on everything from history and science to philosophy and the arts.
Another intriguing aspect to explore is the model's coding capabilities. Provide the model with coding challenges or problems, and observe how it approaches the task, explains its thought process, and generates solutions. This can be a valuable learning experience for developers and students alike.
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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