Welcome to the fascinating world of Hermes 2 Pro – Mistral 7B, an advanced language model designed to assist you in various tasks, from storytelling to function calling. This guide will explore how to utilize Hermes 2 Pro and its features effectively, ensuring that you have a fulfilling experience while working with this AI.

Understanding Hermes 2 Pro

The Hermes 2 Pro model is an upgraded version of the Nous Hermes 2, enhanced with new training datasets and capabilities like Function Calling and JSON Mode outputs. If you’re familiar with cars, think of it as a high-performance vehicle that has been fine-tuned for both speed and efficiency. It excels in completing tasks while providing structured outputs, much like a skilled mechanic knows their way around a car’s engine.

Starting with Hermes 2 Pro

To get started, you will need to use the model effectively by crafting prompts. Hermes employs a structured prompt format known as ChatML, which enables more insightful interactions with the AI. Here’s how you can format your prompts:

im_startsystem
You are a sentient, superintelligent artificial general intelligence, here to teach and assist me.
im_end
im_startuser
Hello, who are you?
im_end

Utilizing Function Calling

One of the standout features of Hermes 2 Pro is its ability to call functions and output JSON structured responses. Imagine you’re at a restaurant and you want to order a meal. You tell the waiter your preferences (your prompt), and they communicate your order to the kitchen (the function). Here’s an example of how to make a function call:

im_startsystem
You are a function calling AI model. Here are the available tools:
tools type: function, function: name: get_stock_fundamentals, description: Retrieve stock data.
im_end
im_startuser
Fetch the stock fundamentals data for Tesla (TSLA).
im_end

Interpreting Output Responses

After you submit a request to Hermes, you will receive a response structured in JSON format. This response format is akin to receiving a recipe card after ordering a dish—organized and easy to read. Here’s a glimpse of what a typical output looks like:

{
  "symbol": "TSLA",
  "company_name": "Tesla, Inc.",
  "sector": "Consumer Cyclical",
  "market_cap": 611384164352,
  ... 
}

Troubleshooting Common Issues

If you encounter any difficulties while using Hermes 2 Pro, here are several tips to guide you:

• Unexpected Output: Double-check your prompt for accuracy and clarity.
• Function Not Responding: Ensure you are using the correct function signature.
• Performance Slowdowns: Examine your environment to ensure adequate resources are allocated for running the model.

For any unresolved issues or if you have questions, feel free to reach out for support. For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Conclusion

Hermes 2 Pro – Mistral 7B represents a significant advancement in language modeling. By understanding its features and how to communicate effectively with it, you can tap into its full potential. At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.