Nous Hermes 2 Mixtral 8x7B
Unleash superior AI-driven operations with this efficient model, excelling in chatbot services and content generation.
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.
| License | apache-2.0 |
|---|---|
| Context window(in thousands) | 32768 |
Use cases for Nous Hermes 2 Mixtral 8x7B
- Roleplay models: Nous Hermes 2 Mixtral 8x7B is highly recommended for roleplay models, generating creative and engaging responses.
- Comparative analysis: This model stands out in comparison to models like GPT 3.5, showcasing unique strengths suitable for specific tasks.
- Keeping up with developments: Despite the rapid evolution of language models, this model remains relevant and performs well, keeping users updated in the field.
| Arena Elo | 1084 |
|---|---|
| MMLU | N/A |
| MT Bench | N/A |
Nous Hermes 2 Mixtral 8x7B performs admirably in response quality, excelling in translation tasks and demonstrating a strong understanding of complex topics.
1105
1093
1084
1074
1072
| 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.
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?
- 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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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.