Undi95: ReMM SLERP 13B
undi95/remm-slerp-l2-13b
Access ReMM SLERP 13B from Undi95 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: "undi95/remm-slerp-l2-13b"
}).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: "undi95/remm-slerp-l2-13b"
}).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="undi95/remm-slerp-l2-13b",
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": "undi95/remm-slerp-l2-13b",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
ReMM SLERP 13B is a community-built 13-billion-parameter language model created by Undi95 as an updated recreation of the popular MythoMax-L2-13B. Built on the Llama 2 architecture, it uses SLERP merging to combine ReML (itself a blend of Chronos-Beluga v2, Airoboros 2.1, and Nous-Hermes) with Huginn v1.2.
The model is designed for roleplay, creative writing, and interactive storytelling. It inherits the MythoMax lineage's strength in maintaining consistent character voice, generating vivid prose, and sustaining coherent narratives across extended conversations.
With a 4,096-token max output and a roughly 6K context window, it's best suited for creative and conversational use cases rather than reasoning, coding, or instruction-following tasks. Developers building character-driven chat experiences or interactive fiction on a budget will find it a lightweight, capable option in the MythoMax family.
Context Window 6K
tokens
Max Output 4K
tokens
Input Cost $0.45
per million tokens
Output Cost $0.65
per million tokens
Release Date Sep 4, 2023
Model Playground
Try ReMM SLERP 13B instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
Frequently Asked Questions
You can access ReMM SLERP 13B by Undi95 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 ReMM SLERP 13B 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 | $0.45 |
| Output | $0.65 |
ReMM SLERP 13B was created by Undi95 and released on Sep 4, 2023.
ReMM SLERP 13B supports a context window of 6K tokens. For reference, that is roughly equivalent to 12 pages of text.
ReMM SLERP 13B can generate up to 4K tokens in a single response.
Yes — the ReMM SLERP 13B 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 ReMM SLERP 13B to your app without worrying about API keys or setup.
Read the Docs View Tutorials