Nous Research

Nous Research: Hermes 2 Pro - Llama-3 8B

nousresearch/hermes-2-pro-llama-3-8b

Access Hermes 2 Pro - Llama-3 8B from Nous Research using Puter.js AI API.

Get Started 
// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';

puter.ai.chat("Explain quantum computing in simple terms", {
    model: "nousresearch/hermes-2-pro-llama-3-8b"
}).then(response => {
    document.body.innerHTML = response.message.content;
});

<html>
<body>
    <script src="https://js.puter.com/v2/"></script>
    <script>
        puter.ai.chat("Explain quantum computing in simple terms", {
            model: "nousresearch/hermes-2-pro-llama-3-8b"
        }).then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

# pip install openai
from openai import OpenAI

client = OpenAI(
    base_url="https://api.puter.com/puterai/openai/v1/",
    api_key="YOUR_PUTER_AUTH_TOKEN",
)

response = client.chat.completions.create(
    model="nousresearch/hermes-2-pro-llama-3-8b",
    messages=[
        {"role": "user", "content": "Explain quantum computing in simple terms"}
    ],
)

print(response.choices[0].message.content)

curl https://api.puter.com/puterai/openai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_PUTER_AUTH_TOKEN" \
  -d '{
    "model": "nousresearch/hermes-2-pro-llama-3-8b",
    "messages": [
      {"role": "user", "content": "Explain quantum computing in simple terms"}
    ]
  }'

Model Card

Hermes 2 Pro Llama 3 8B is an 8B parameter model fine-tuned on Meta's Llama 3, optimized for function calling (90% accuracy) and structured JSON outputs (84% accuracy). It features dedicated tool-call parsing tokens for agentic capabilities and outperforms Llama-3 8B Instruct on AGIEval, TruthfulQA, and BigBench benchmarks.

Context Window 8K

tokens

Max Output 8K

tokens

Input Cost $0.14

per million tokens

Output Cost $0.14

per million tokens

Release Date Apr 30, 2024

 

Model Playground

Try Hermes 2 Pro - Llama-3 8B instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.

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Frequently Asked Questions

How do I use Hermes 2 Pro - Llama-3 8B?

You can access Hermes 2 Pro - Llama-3 8B by Nous Research through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.

Is Hermes 2 Pro - Llama-3 8B free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Hermes 2 Pro - Llama-3 8B to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.

What is the pricing for Hermes 2 Pro - Llama-3 8B?
Pricing for Hermes 2 Pro - Llama-3 8B is based on the number of input and output tokens used per request.
Price per 1M tokens
Input$0.14
Output$0.14
Who created Hermes 2 Pro - Llama-3 8B?

Hermes 2 Pro - Llama-3 8B was created by Nous Research and released on Apr 30, 2024.

What is the context window of Hermes 2 Pro - Llama-3 8B?

Hermes 2 Pro - Llama-3 8B supports a context window of 8K tokens. For reference, that is roughly equivalent to 16 pages of text.

What is the max output length of Hermes 2 Pro - Llama-3 8B?

Hermes 2 Pro - Llama-3 8B can generate up to 8K tokens in a single response.

Does it work with React / Vue / Vanilla JS / Node / etc.?

Yes — the Hermes 2 Pro - Llama-3 8B API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.

Get started with Puter.js

Add Hermes 2 Pro - Llama-3 8B to your app without worrying about API keys or setup.

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