Nous: Hermes 4 70B
Reason Hybrid, Respond Precise
Toggle Reasoning, Master Tasks
Hybrid Mode
Control Think Traces
Enable <think> tags for step-by-step reasoning or direct answers with reasoning boolean.
Schema Outputs
JSON Function Calling
Produces valid JSON schemas, supports tool use and function calling for API integrations.
STEM Boost
Math Code Logic
Excels in mathematics, coding, STEM, and logic via 60B token post-training corpus.
Examples
See what Nous: Hermes 4 70B can create
Copy any prompt below and try it yourself in the playground.
Math Proof
“Prove Fermat's Last Theorem for n=3 using step-by-step reasoning in <think> tags, then summarize the key steps in plain English.”
Code Debug
“Analyze this Python function for bugs: def factorial(n): if n == 0: return 1 else: return n * factorial(n-1). Fix and optimize with reasoning enabled.”
JSON Schema
“Generate a weather API response in strict JSON schema: {location: string, temp: number, forecast: array}. Use Paris, France with reasoning for data logic.”
Logic Puzzle
“Solve Einstein's riddle: five houses, colors, nationalities, drinks, smokes, pets. Who owns the fish? Output structured steps then final answer.”
For Developers
A few lines of code.
Reasoning LLM. One Call.
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
import requestsresponse = requests.post("https://modelslab.com/api/v7/llm/chat/completions",json={"key": "YOUR_API_KEY","prompt": "","model_id": ""})print(response.json())
Ready to create?
Start generating with Nous: Hermes 4 70B on ModelsLab.