Nous Hermes 2 Mixtral 8x7B

Unleash superior AI-driven operations with this efficient model, excelling in chatbot services and content generation.

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about

Nous Hermes 2 Mixtral 8x7B, licensed under Apache 2.0, is a large language model renowned for tasks like content generation and customer service chatbots. It thrives in high-traffic applications and real-time interactions due to its rapid response time and high throughput.

Licenseapache-2.0
Context window(in thousands)32768

Use cases for Nous Hermes 2 Mixtral 8x7B

  1. Roleplay models: Nous Hermes 2 Mixtral 8x7B is highly recommended for roleplay models, generating creative and engaging responses.
  2. Comparative analysis: This model stands out in comparison to models like GPT 3.5, showcasing unique strengths suitable for specific tasks.
  3. Keeping up with developments: Despite the rapid evolution of language models, this model remains relevant and performs well, keeping users updated in the field.
Quality
Arena Elo1084
MMLUN/A
MT BenchN/A

Nous Hermes 2 Mixtral 8x7B performs admirably in response quality, excelling in translation tasks and demonstrating a strong understanding of complex topics.

GPT-3.5 Turbo-0125

1103

Llama 2 Chat 70B

1093

Nous Hermes 2 Mixtral 8x7B

1084

Hermes 2 Pro Mistral 7B

1074

Mistral 7B Instruct v0.2

1072

Performance
Throughput(output tokens per second)96
Latency(seconds to first tokens chunk received)0.33
Total Response Time(seconds to output 100 tokens)1.6

The model demonstrates high throughput, capable of handling numerous concurrent users, and low latency, making it ideal for real-time applications. However, it may not be optimal for tasks requiring extremely quick total response times.

pricing

The cost of running the model with Telnyx Inference is $0.0003 per 1,000 tokens. To put this into perspective, analyzing 1,000,000 customer chats, assuming each chat is 1,000 tokens long, would cost $300.

What's Twitter saying?

  • Quantized forms: Teknium announces multiple quantized versions of Hermes Mixtral, including SFT+DPO GGUF and SFT GGUF, see more here. (Source: @Teknium1)
  • Performance vs GPT-4: Private LLM notes that Nous Hermes 2 Mixtral 8x7B DPO model outperforms GPT-4 on certain puzzles, highlighting its strengths. (Source: here)
  • Function calling: Matt Shumer showcases Nous Hermes 2 Mixtral 8x7B DPO's ability to perform function calling with simple prompts like checking the weather. Explore the demo here. (Source: @mattshumer_)

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faqs

What is Nous Hermes 2 Mixtral 8x7B DPO?

Nous Hermes 2 Mixtral 8x7B DPO is a high-performance large language model designed for a wide array of tasks, including content generation and chatbot services. It features a context window of 32768, high throughput, and low latency, making it ideal for real-time interactions and high-traffic applications.

How does Nous Hermes 2 Mixtral compare to GPT-4?

Nous Hermes 2 Mixtral 8x7B DPO outperforms GPT-4 in certain areas, such as puzzles, and offers unique advantages in roleplay and content generation tasks. It is built on a foundation that improves on the base Mixtral model, delivering state-of-the-art performance.

What are the key features of Nous Hermes 2 Mixtral 8x7B DPO?

The key features include an extensive context window for large inputs, high throughput, low latency, exceptional performance in roleplay models and certain GPT-like tasks, support for ChatML, and availability in quantized forms for different user needs.

Where can I access Nous Hermes 2 Mixtral 8x7B DPO?

Telnyx provides public API endpoints for Nous Hermes 2 Mixtral 8x7B DPO, facilitating easy integration into various applications. Start building with Telnyx.

What kind of training data was used for Nous Hermes 2 Mixtral 8x7B DPO?

The model was trained on over 1,000,000 entries, primarily consisting of GPT-4 generated data and other high-quality sources from open datasets. This extensive training data contributes to the model's robust performance across different tasks.

Who sponsored the compute for Nous Hermes 2 Mixtral 8x7B DPO's training?

The compute required for the training of Nous Hermes 2 Mixtral 8x7B DPO was sponsored by Together.ai, supporting the development of this advanced large language model.

What is ChatML and how does it support Nous Hermes 2 Mixtral 8x7B DPO?

ChatML is a structured interface for interactions that is supported by Nous Hermes 2 Mixtral 8x7B DPO. It enables developers to create more organized and efficient chatbot services by providing a standardized format for chat interactions.