OpenHermes-2.5: This Local LLM Is All You Need

Today, we're diving into the world of OpenHermes-2.5, a name that's creating buzz in the AI community. Imagine a digital Hermes, the ancient Greek messenger god, but for the 21st-century AI landscape. This isn't just another AI model; it's a groundbreaking tool for understanding and mimicking human conversation.

But why all the hype about OpenHermes-2.5? Well, it's not just another step in AI evolution; it's a giant leap. This model takes the art of AI conversation to new heights, setting a benchmark for what language models can achieve. Stick around, and let's unravel the magic behind OpenHermes-2.5 together!

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What is OpenHermes-2.5?

What is an LLM (Large Language Model)?

• An LLM, or Large Language Model, is a type of AI that's trained to understand and use human language.
• Imagine teaching a computer to read, write, and converse by showing it millions of pages from books, websites, and conversations.This training helps the LLM learn patterns in language, enabling it to generate text that sounds like it was written by a human.
• LLMs are used for tasks like answering questions, writing essays, translating languages, and even creating poetry or stories.

What is the Mistral Model?

• Mistral 7B v0.1 is the first LLM developed by Mistral AI with a small but fast and robust 7 Billion Parameters that can be run on your local laptop.
• Mistral AI's model is designed for easy deployment, offering a Docker image for quick API setup on cloud platforms with NVIDIA GPUs. Mistral AI also supports open source development and encourages contributions from external sources.

What is OpenHermes-2.5?

• OpenHermes-2.5 is a specific example of a Mistral model. It's a newer, more advanced version of a previous model known as OpenHermes-2.

• OpenHermes-2.5 has been trained on a wide variety of texts, including lots of information about computer code. This training makes it particularly good at understanding and generating text related to programming, in addition to its general language skills.

• Think of OpenHermes-2.5 as a super-smart language expert that's also a bit of a computer programming whiz. It's used in various applications where understanding, generating, and interacting with human language is crucial.

OpenHermes-2.5 vs Openhermes-2-mistral-7b, What's New?

So, what's the deal with OpenHermes-2.5 and how does it differ from its predecessor, Openhermes-2-mistral-7b? Let me break it down for you:

• Data Diet: OpenHermes-2.5 feasted on a richer dataset, including a whopping 1,000,000 entries, primarily from GPT-4. This diverse diet has given it a more nuanced understanding of human language.
• Benchmark Bumps: The model isn't just showing off in one or two areas; it's acing multiple benchmarks like TruthfulQA and AGIEval, and even giving a tough time to GPT4All suite. It's like watching an athlete outdo themselves in every race!
• ChatML Charm: Enter ChatML, the new format that OpenHermes-2.5 uses. It's like giving the model a more structured playbook for chatting, making conversations more coherent and engaging.
• GGUF – The New Kid on the Block: OpenHermes-2.5 embraces GGUF, a format that's taken over from GGML. This means the model's got more efficient ways to process and present information, ranging from 2-bit to 6-bit quantization. In simpler terms, it's like having a more versatile and efficient brain!

Numbers Don't Lie

When it comes to improvements, OpenHermes-2.5 isn't just about vague upgrades. The humaneval score shot up from 43% to 50.7%, and users are noticing a stark difference. Conversations feel more natural, like chatting with a well-read friend who also happens to be a computer!

How OpenHermes-2.5 is Trained

Alright, let's get a bit technical but keep it fun. Training OpenHermes-2.5 isn't like teaching a parrot to talk. It's more like preparing a super-smart student for the toughest exams out there.

• Data, Data Everywhere: The model's training is like an all-you-can-eat buffet of data. We're talking about a mix of GPT-4 generated content and other high-quality AI datasets. It's like giving the model a taste of everything, from Shakespeare to coding manuals.
• Code Talk: A chunk of the training involved code instructions. Now, you might think, "Why code?" Well, it turns out this actually helped the model get better at non-code stuff too. It's like learning Latin to improve your English!
• Filtering and Formatting Fiesta: The data went through a rigorous filtering process, ensuring only the cream of the crop was used for training. Then, it was all converted to ShareGPT and ChatML formats, like translating everything into a language the model understands best.
• Balancing Act: Imagine balancing a diet – that's what the dataset balance was like. With an estimated 7-14% of the total being code instruction, OpenHermes-2.5 got a well-rounded development in various language tasks.

Training OpenHermes-2.5 was like preparing a gourmet meal with the finest ingredients and the right recipe. The result? An AI model that not only understands but also speaks human language with an uncanny naturalness.

OpenHermes-2.5 Benchmark and Performances

OpenHermes-2.5 isn't just any language model; it's a high achiever, an AI Olympian breaking records in the AI world. It stands out significantly in various benchmarks, showing remarkable improvements over its predecessor. This model shines in roleplaying and task execution, grasping contexts, emotions, and nuances. It's more than just a chatbot; it's a partner in conversation, brainstorming, and storytelling.

When compared to prominent models like Orca or Llama-2 13B, OpenHermes-2.5 often outperforms them:

Key Observations

• OpenHermes-2.5: Known for creative and engaging writing, with some inconsistencies in instruction adherence and character consistency. It excels in real-time interactions, though with some limitations in specific scenarios, like interacting with objects.
• OpenChat 3.5: Demonstrates detailed and emotive responses, but tends to be repetitive, especially in NSFW scenarios. It stands out in the Voxta + VaM test, showcasing robust function-calling capabilities.
• Nous Capybara 1.9: Achieves a perfect score in the German data protection training. It's more precise and factual in responses, less creative but consistent in instruction following.

Overall, OpenHermes-2.5's performance highlights its strength in versatile and adaptive language processing, setting a new benchmark in AI language models.

teknium/OpenHermes-2.5-Mistral-7B · Hugging Face

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Can I Run OpenHermes-2.5 on my Local Laptop?

Alright, let's get down to brass tacks. Can you run OpenHermes-2.5 on your laptop? Well, it depends on what you're packing under the hood. Here's the lowdown:

• Hardware Requirements: Running OpenHermes-2.5 is like tuning an instrument. You need the right hardware to get the sweetest sound. For the GPTQ version, you're looking at a decent GPU with at least 6GB VRAM. Think GTX 1660 or 2060, AMD 5700 XT, or RTX 3050/3060.
• RAM and VRAM: For the GGML/GGUF format, it's all about the RAM – around 4GB free to run smoothly. And don't forget the VRAM requirements; these are crucial for a stutter-free experience.
• Memory Speed Matters: Like a race car's engine, the RAM bandwidth determines how fast your model can 'think'. More bandwidth means faster response times. So, if you're aiming for top-notch performance, make sure your machine's memory is up to speed.

In a nutshell, whether you can run OpenHermes-2.5 locally boils down to your laptop's muscle. It's like asking if your car can handle a cross-country road trip – the answer lies in its specs.

How to Run OpenHermes-2.5 Locally Using Ollama

Running OpenHermes-2.5 on your computer is like setting up a virtual brain to chat with. Here's how you can do it:

Step 1: Check Your Computer's Memory

• Make sure your computer has at least 8GB of RAM. This is important because OpenHermes-2.5 needs a lot of memory to work well.

Step 2: Use Ollama to Run OpenHermes-2.5

• First, go to Ollama's website and find OpenHermes-2.5 Mistral 7B. It's a fancy name, but basically, it's the latest version of OpenHermes-2.5.
• In the Command Line Interface (CLI), type: ollama run openhermes2.5-mistral
• This command tells your computer to start running OpenHermes-2.5.

Step 3: Using the API for Custom Requests

• You can also talk to OpenHermes-2.5 through an API, which is like a special way for programs to communicate.

Here's an example of how to do this:

curl -X POST localhost:11434/api/generate -d '{
  "model": "openhermes2.5-mistral",
  "prompt": "Here is a story about llamas eating grass"
}'

• In this example, you're asking OpenHermes-2.5 to tell you a story about llamas eating grass. The curl command sends this request to the model, and it comes back with a cool story!

And there you go! With these steps, you can have OpenHermes-2.5 up and running on your computer, ready to chat or tell stories.

openhermes2.5-mistral

OpenHermes 2.5 Mistral 7B is a Mistral 7B fine-tune, a continuation of OpenHermes 2 model, which trained on additional code datasets.

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Conclusion

So, there you have it – a deep dive into the exciting world of OpenHermes-2.5. From its mythological inspiration to its impressive benchmarks and local implementation capabilities, OpenHermes-2.5 stands as a testament to the incredible strides we've made in AI language processing.

Whether you're an AI enthusiast, a developer, or just someone fascinated by the advancements in technology, OpenHermes-2.5 offers a glimpse into the future of human-AI interaction. It's not just a tool; it's a bridge connecting the realms of human thought and digital understanding. The possibilities are endless, and the journey has just begun!

FAQ

How do I install OpenHermes-2.5 on my computer?

To install OpenHermes-2.5, you typically need to use platforms like Ollama, which provide detailed installation instructions and necessary software components.

What are the system requirements for running OpenHermes-2.5?

Running OpenHermes-2.5 requires a modern computer with a substantial amount of RAM (at least 8GB recommended) and a good GPU for optimal performance.

Can OpenHermes-2.5 be integrated with other applications?

Yes, OpenHermes-2.5 can be integrated with various applications using APIs, allowing for a wide range of language processing functionalities.

What languages does OpenHermes-2.5 support?

OpenHermes-2.5 is primarily designed for English but may have capabilities in other languages depending on its training data and updates.

Is OpenHermes-2.5 suitable for commercial use?

Yes, OpenHermes-2.5 can be used for commercial purposes, but it's important to check the licensing and usage policies provided by the developers.