Sao10k: Llama 3.1 70B Hanami x1

sao10k/l3.1-70b-hanami-x1

Access Llama 3.1 70B Hanami x1 from Sao10k 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: "sao10k/l3.1-70b-hanami-x1"
}).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: "sao10k/l3.1-70b-hanami-x1"
        }).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="sao10k/l3.1-70b-hanami-x1",
    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": "sao10k/l3.1-70b-hanami-x1",
    "messages": [
      {"role": "user", "content": "Explain quantum computing in simple terms"}
    ]
  }'

Model Card

Llama 3.1 70B Hanami x1 is an experimental 70B model built on top of Euryale v2.2 by Sao10K, offering a different feel with enhanced creativity and logical reasoning. The creator considers it an improvement over both Euryale v2.1 and v2.2.

Context Window 16K

tokens

Max Output N/A

tokens

Input Cost $3

per million tokens

Output Cost $3

per million tokens

Release Date Sep 6, 2024

 

Model Playground

Try Llama 3.1 70B Hanami x1 instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.

Chat sao10k/l3.1-70b-hanami-x1
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Frequently Asked Questions

How do I use Llama 3.1 70B Hanami x1?

You can access Llama 3.1 70B Hanami x1 by Sao10k 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 Llama 3.1 70B Hanami x1 free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Llama 3.1 70B Hanami x1 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 Llama 3.1 70B Hanami x1?
Pricing for Llama 3.1 70B Hanami x1 is based on the number of input and output tokens used per request.
Price per 1M tokens
Input$3
Output$3
Who created Llama 3.1 70B Hanami x1?

Llama 3.1 70B Hanami x1 was created by Sao10k and released on Sep 6, 2024.

What is the context window of Llama 3.1 70B Hanami x1?

Llama 3.1 70B Hanami x1 supports a context window of 16K tokens. For reference, that is roughly equivalent to 32 pages of text.

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

Yes — the Llama 3.1 70B Hanami x1 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 Llama 3.1 70B Hanami x1 to your app without worrying about API keys or setup.

Read the Docs View Tutorials