Sao10k: 72B Qwen2.5 Kunou v1 (free)
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72B Qwen2.5 Kunou v1 is a roleplay and creative writing model by Sao10K, the independent creator behind the Euryale and Stheno series, finetuned from Qwen2.5 72B Instruct. Sao10K describes it as a generalist focused on roleplay and creative instruction tasks, and as something of a successor to Llama 3 Euryale v2.2, trained on a cleaned-up version of the datasets used for Euryale and Stheno.
The model uses the ChatML prompt format. The creator notes that system prompts have a strong effect on its behavior, and recommends a temperature of 1.1 with min_p 0.1.
It is the largest model in the Kunou series (14B and 32B versions also exist) and suits developers who want Euryale-style roleplay and storytelling on a Qwen base instead of Llama.
Context Window 32K
tokens
Max Output 32K
tokens
Input Cost $0
per million tokens
Output Cost $0
per million tokens
Release Date Dec 6, 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>
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
72B Qwen2.5 Kunou v1 (free) is no longer available through Puter.js. Explore other AI models for alternatives.
| Price per 1M tokens | |
|---|---|
| Input | $0 |
| Output | $0 |
72B Qwen2.5 Kunou v1 (free) was created by Sao10k and released on Dec 6, 2024.
72B Qwen2.5 Kunou v1 (free) supports a context window of 32K tokens. For reference, that is roughly equivalent to 64 pages of text.
72B Qwen2.5 Kunou v1 (free) can generate up to 32K tokens in a single response.
Yes — the 72B Qwen2.5 Kunou v1 (free) 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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