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

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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 May 27, 2024

Code Example

Add AI to your app with the Puter.js AI API, no API keys or setup required.

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

puter.ai.chat("Explain quantum computing in simple terms").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").then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

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Hermes 4 14B

Hermes 4 14B is the smallest model in Nous Research's Hermes 4 family, a fine-tune of Qwen3-14B trained on a post-training corpus of roughly 60B tokens built around verified reasoning traces. It is a hybrid reasoning model. It answers directly by default and can be switched into a reasoning mode that works through explicit think segments before the final answer, with training aimed at keeping those reasoning traces from running overlong. It is trained for function calling and tool use within a single assistant turn, and for structured outputs, including emitting schema-valid JSON and repairing malformed objects. In line with the Hermes series' focus on steerability and neutral alignment, Nous Research reports state-of-the-art results for Hermes 4 on its RefusalBench test, meaning fewer refused requests than comparable models.

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Hermes 4 405B

Hermes 4 405B is a frontier hybrid-mode reasoning model based on Llama-3.1-405B, trained on a 60B token dataset with verified reasoning traces. It features toggleable deep reasoning via think tags, massive improvements in math, code, STEM, and logic, and achieves state-of-the-art on RefusalBench for reduced censorship.

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Hermes 3 70B Instruct

Hermes 3 Llama 3.1 70B is a 70B parameter fine-tune of Llama-3.1-70B offering advanced agentic capabilities, improved roleplaying, reasoning, and multi-turn conversation. It provides reliable function calling and structured outputs while being competitive with Llama-3.1 Instruct models at a more accessible size.

Frequently Asked Questions

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

Hermes 2 Pro - Llama-3 8B is no longer available through Puter.js. Explore other AI models for alternatives.

What is the pricing for Hermes 2 Pro - Llama-3 8B?

Hermes 2 Pro - Llama-3 8B costs $0.14 per 1M input tokens and $0.14 per 1M output tokens.

	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 May 27, 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.

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