Hermes 2 Mixtral 8x7B DPO

About Hermes 2 Mixtral 8x7B DPO

Nous Hermes 2 Mixtral 8x7B DPO is Nous Research's fine-tune of Mixtral, enhanced with Direct Preference Optimization for better alignment with human preferences. The model combines Mixtral's efficient MoE architecture with specialized training that improves response quality and helpfulness. It excels at instruction following, creative tasks, and nuanced conversations. The DPO training helps the model produce responses that better match what users actually want. Nous Hermes 2 features a 32K context window and demonstrates strong performance across diverse tasks. For developers seeking capable open-source AI with improved alignment, this model offers enhanced response quality. It's particularly valuable for chatbots and applications where response quality directly impacts user satisfaction.

Model Specifications

Nous Research Model Lineup

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🚀 Quick Start

Get started with Hermes 2 Mixtral 8x7B DPO API

from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="nousresearch/nous-hermes-2-mixtral-8x7b-dpo",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

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