Sao10k: Llama 3.3 Euryale 70B
sao10k/l3.3-euryale-70b
Access Llama 3.3 Euryale 70B 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/l3.3-euryale-70b"
}).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/l3.3-euryale-70b"
}).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/l3.3-euryale-70b",
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/l3.3-euryale-70b",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
Llama 3.3 Euryale 70B v2.3 is the latest in Sao10K's Euryale series, built on Llama 3.3 Instruct with a 131K context window and 16K output limit. It's a direct successor to v2.2, trained without LoRA extraction for more robust creative roleplay and storywriting performance.
Context Window 131K
tokens
Max Output 16K
tokens
Input Cost $0.65
per million tokens
Output Cost $0.75
per million tokens
Release Date Dec 18, 2024
Model Playground
Try Llama 3.3 Euryale 70B instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
More AI Models From Sao10k
Llama 3.3 Euryale 70B v2.3
Llama 3.3 Euryale 70B v2.3 is a creative writing and roleplay finetune of Meta's Llama 3.3 70B Instruct by Sao10K, an independent model creator whose Euryale line is their flagship series for these tasks. v2.3 is the successor to Euryale v2.2. Unlike earlier versions, it is trained entirely on top of Llama 3.3 Instruct rather than LoRA-extracted, and the creator describes it as a direct replacement with improved performance. Its training data mixes roleplay and creative content with instruction data, so it handles storytelling, interactive dialogue, and general instruction following. The model uses the Llama 3 Instruct prompt format, and the creator recommends a temperature around 1.1 with min_p 0.1. Through the API it offers a 131K context window with up to 16.4K output tokens, a fit for long multi-turn roleplay and story sessions.
ChatLlama 3.1 Euryale 70B v2.2
Llama 3.1 Euryale 70B v2.2 is Sao10K's creative roleplay model built on Meta's Llama 3.1 architecture with improved multi-turn coherency, system prompt handling, and reasoning capabilities. It features a 32K context window and excels at immersive storytelling with strong prompt adherence.
ChatLlama 3.1 Euryale 70B v2.2
Llama 3.1 Euryale 70B v2.2 is a creative writing and roleplay fine-tune of Meta's Llama 3.1 70B by Sao10K, an independent model creator known for the Euryale and Stheno series. The model was trained in two epochs, first on multi-turn conversational instruction data, then on creative writing and roleplay content mixed with creative instruction sets. Compared to v2.1, Sao10K added 55% more roleplaying examples and 40% more creative writing examples, replaced single-turn prompts with responses from Claude 3.5 Sonnet and Claude 3 Opus, and added datasets targeting system prompt adherence and reasoning. It uses the Llama 3 Instruct prompt format, and the creator recommends a temperature around 1.2 with min_p 0.2. Through the API it offers a 131K context window with up to 16.4K output tokens, suited to long multi-turn roleplay and story sessions.
Frequently Asked Questions
You can access Llama 3.3 Euryale 70B 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.
Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Llama 3.3 Euryale 70B to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.
| Price per 1M tokens | |
|---|---|
| Input | $0.65 |
| Output | $0.75 |
Llama 3.3 Euryale 70B was created by Sao10k and released on Dec 18, 2024.
Llama 3.3 Euryale 70B supports a context window of 131K tokens. For reference, that is roughly equivalent to 262 pages of text.
Llama 3.3 Euryale 70B can generate up to 16K tokens in a single response.
Yes — the Llama 3.3 Euryale 70B 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 3.3 Euryale 70B to your app without worrying about API keys or setup.
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