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const { OpenAI } = require('openai');
const api = new OpenAI({
baseURL: 'https://api.ai.cc/v1',
apiKey: '',
});
const main = async () => {
const result = await api.chat.completions.create({
model: 'NousResearch/Nous-Hermes-2-Mixtral-8x7B-SFT',
messages: [
{
role: 'system',
content: 'You are an AI assistant who knows everything.',
},
{
role: 'user',
content: 'Tell me, why is the sky blue?'
}
],
});
const message = result.choices[0].message.content;
console.log(`Assistant: ${message}`);
};
main();
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.ai.cc/v1",
api_key="",
)
response = client.chat.completions.create(
model="NousResearch/Nous-Hermes-2-Mixtral-8x7B-SFT",
messages=[
{
"role": "system",
"content": "You are an AI assistant who knows everything.",
},
{
"role": "user",
"content": "Tell me, why is the sky blue?"
},
],
)
message = response.choices[0].message.content
print(f"Assistant: {message}")
-
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Product Detail
Introducing Nous Hermes 2 - Mixtral 8x7B-SFT
The Nous Hermes 2 - Mixtral 8x7B-SFT is a cutting-edge Large Language Model (LLM) developed by the esteemed Nous Research. This powerful AI model stands out due to its extensive and high-quality training dataset, which primarily includes over 1,000,000 entries generated by GPT-4. Complementing this, it integrates premium data from various open datasets across the AI landscape, resulting in a model that delivers exceptional performance across a broad spectrum of tasks.
Built upon the robust Mixtral 8x7B MoE LLM architecture, Nous Hermes 2 is engineered to push the boundaries of AI capabilities, making it a valuable asset for developers and researchers alike.
Key Variants for Diverse Applications
To cater to different operational needs and optimization strategies, the Nous Hermes 2 - Mixtral 8x7B SFT is available in two distinct variants:
- ✓ Supervised Fine-tune Only (SFT): This variant is meticulously designed for supervised fine-tuning applications. It leverages a massive amount of data to specialize in scenarios where precise, supervised training is crucial for achieving desired outcomes.
- ✓ Data Parallelism Only (DPO): Focused on enhancing performance through optimized data parallelism, this variant offers a novel SFT + DPO version. Users gain the flexibility to choose the model that best aligns with their specific performance and deployment requirements.
Benchmark Performance: Outperforming Competitors
The Nous Hermes 2 - Mixtral 8x7B SFT has consistently showcased superior results in various industry benchmarks, often surpassing its predecessors and competitors. Here's a snapshot of its impressive performance:
- ★ GPT4All Benchmark: In this comprehensive evaluation of language model performance across diverse tasks, the Hermes-2-Mixtral-8x7B-SFT model achieved an exceptional average accuracy of 75.70%.
- ★ AGIEval Benchmark: This benchmark assesses advanced general intelligence capabilities. The model's average accuracy here was a strong 46.05%, highlighting its cognitive prowess.
- ★ BigBench Benchmark: Testing reasoning, understanding, and problem-solving skills across a wide array of tasks, the model scored an impressive average of 49.70%.
These results underscore the model's superior capabilities and its capacity to deliver cutting-edge solutions compared to other models in the market.
Tips for Maximizing Your Model Usage
To ensure you get the most out of the Nous Hermes 2 - Mixtral 8x7B SFT, consider these expert tips:
- 💡 Choose the Right Variant: Carefully select between the SFT variant for supervised fine-tuning or the DPO variant for optimized data parallelism, aligning with your project's specific requirements.
- 💡 Ensure Proper System Prompting: Leverage system prompts effectively to guide the model's responses based on desired roles, rules, and stylistic choices. This is key to enhancing your interactions.
- 💡 Utilize Quantized Versions: For efficient performance across diverse computational environments, take advantage of the available quantized versions of the model.
Conclusion & Next Steps
The Nous Hermes 2 - Mixtral 8x7B SFT marks a significant advancement in AI capabilities. With its state-of-the-art performance, innovative features, and user-centric design, it is set to redefine how we engage with and harness AI technology. Whether you're a data scientist visualizing complex datasets, a developer crafting sophisticated chatbots, or a creative generating unique content, this model provides the robust foundation you need.
Ready to elevate your AI applications to unprecedented levels? Get your API key today and begin exploring the boundless potential with the Nous Hermes 2 - Mixtral 8x7B SFT!
Frequently Asked Questions (FAQ)
Q1: What is Nous Hermes 2 - Mixtral 8x7B-SFT?
A1: It is an advanced Large Language Model (LLM) developed by Nous Research, trained extensively on over 1,000,000 GPT-4 generated entries and other high-quality open datasets.
Q2: What are the main variants of this model?
A2: The model comes in two primary variants: the Supervised Fine-tune Only (SFT) variant, specialized for supervised training, and the Data Parallelism Only (DPO) variant, optimized for data parallelism.
Q3: How does Nous Hermes 2 perform against competitors?
A3: It consistently outperforms many competitors in benchmarks like GPT4All (75.70% accuracy), AGIEval (46.05% accuracy), and BigBench (49.70% score), demonstrating superior capabilities.
Q4: Are there any tips for optimizing its use?
A4: Yes, users should choose the appropriate model variant (SFT or DPO), utilize proper system prompting for guided responses, and take advantage of quantized versions for efficient performance across different environments.
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