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Nous Hermes 2 Mixtral 8X7B DpoReason Multilingual. Generate Efficiently

Try Nous Hermes 2 Mixtral 8X7B DpoAPI Documentation

Run Hermes 2 Mixtral DPO

Sparse MoE

12.9B Active Params

Routes tokens through 2 of 8 experts from 46.7B total for dense 70B performance at lower cost.

DPO Alignment

MT-Bench Optimized

Direct Preference Optimization boosts scores over base Mixtral Instruct for coherent outputs.

ChatML Format

Multi-Turn Dialogue

Structured prompts enable robust conversations with Nous Hermes 2 Mixtral 8X7B Dpo model.

Examples

See what Nous Hermes 2 Mixtral 8X7B Dpo can create

Copy any prompt below and try it yourself in the playground.

Data Viz Code

“<|im_start|>system You are a helpful coding assistant.<|im_end|> <|im_start|>user Write Python code using matplotlib and pandas to visualize sales data trends from a CSV file with columns date, product, and revenue. Include line chart and summary stats.<|im_end|> <|im_start|>assistant”

Cyberpunk Poem

“<|im_start|>system You are a creative poet.<|im_end|> <|im_start|>user Compose a psychedelic cyberpunk poem about neon-lit streets in a dystopian megacity, with hackers jacked into neural nets and raining data streams.<|im_end|> <|im_start|>assistant”

Backtranslation Task

“<|im_start|>system You perform backtranslation.<|im_end|> <|im_start|>user Take this English text: 'The quick brown fox jumps over the lazy dog.' Translate to French then back to English to generate a prompt variation.<|im_end|> <|im_start|>assistant”

Reasoning Chain

“<|im_start|>system You are a logical reasoner.<|im_end|> <|im_start|>user Explain step-by-step why ice floats on water, including molecular structure and density differences. Use Nous Hermes 2 Mixtral 8X7B Dpo reasoning.<|im_end|> <|im_start|>assistant”

For Developers

A few lines of code.
DPO inference. Two calls.

ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.

  • Serverless: scales to zero, scales to millions
  • Pay per token, no minimums
  • Python and JavaScript SDKs, plus REST API
API Documentation 
import requests


response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())

FAQ

Common questions about Nous Hermes 2 Mixtral 8X7B Dpo

Read the docs

Nous Hermes 2 Mixtral 8X7B Dpo is a Mixtral 8x7B MoE fine-tune by Nous Research using SFT and DPO. It activates 12.9B of 46.7B params per token for efficiency. Trained on 1M+ GPT-4 entries for top benchmarks.

Access via LLM endpoint with ChatML prompts for multi-turn chat. Supports high throughput and low latency. Ideal for Nous Hermes 2 Mixtral 8X7B Dpo API integrations.

Scores 72.3% MMLU, 75.70% GPT4All, 46.05% AGIEval, 49.70% BigBench. Beats Mistral finetune on several. Matches GPT-3.5 on open-weight tasks.

Yes, sparse MoE delivers 70B-class performance at lower compute. DPO improves coherence over base Mixtral. Use as Nous Hermes 2 Mixtral 8X7B Dpo alternative for cost savings.

Multilingual reasoning, roleplay, long-form content via DPO alignment. Handles large contexts efficiently. Excels in ChatML multi-turn with nous hermes 2 mixtral 8x7b dpo LLM.

Available on ModelsLab LLM endpoint. Quantized versions support various hardware. Start with playground for nous hermes 2 mixtral 8x7b dpo model testing.

Ready to create?

Start generating with Nous Hermes 2 Mixtral 8X7B Dpo on ModelsLab.

Try Nous Hermes 2 Mixtral 8X7B DpoAPI Documentation