DS Archive: L3.3 70B Magnum v4 SE
ds-archive/doctor-shotgun-3.3-70b-magnum-v4-se
Access L3.3 70B Magnum v4 SE from DS Archive 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: "ds-archive/doctor-shotgun-3.3-70b-magnum-v4-se"
}).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: "ds-archive/doctor-shotgun-3.3-70b-magnum-v4-se"
}).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="ds-archive/doctor-shotgun-3.3-70b-magnum-v4-se",
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": "ds-archive/doctor-shotgun-3.3-70b-magnum-v4-se",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
L3.3 70B Magnum v4 SE is a creative writing and roleplay fine-tune of Meta's Llama 3.3 70B Instruct, made by Doctor-Shotgun as part of the Magnum model line associated with the Anthracite community.
It is trained as an rsLoRA adapter on a revised version of the Magnum v4 dataset with some elements of the earlier v2 data reintroduced, after the creator found the preceding 72B Magnum release unsatisfying. The aim is to emulate the prose style of Claude 3 Sonnet and Opus on a 70B base.
The model follows the Llama 3 chat template and treats all output as fiction rather than factual content. The creator recommends prefill for roleplay use and notes that "Claude-isms" can appear in outputs, a byproduct of the training objective.
It suits developers who want open-weight, Llama-3.3-based prose generation for storytelling and character dialogue applications.
Context Window 32K
tokens
Max Output 32K
tokens
Input Cost $0
per million tokens
Output Cost $0
per million tokens
Release Date N/A
Model Playground
Try L3.3 70B Magnum v4 SE instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
Frequently Asked Questions
You can access L3.3 70B Magnum v4 SE by DS Archive 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 L3.3 70B Magnum v4 SE 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 |
| Output | $0 |
L3.3 70B Magnum v4 SE supports a context window of 32K tokens. For reference, that is roughly equivalent to 64 pages of text.
L3.3 70B Magnum v4 SE can generate up to 32K tokens in a single response.
Yes — the L3.3 70B Magnum v4 SE 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 L3.3 70B Magnum v4 SE to your app without worrying about API keys or setup.
Read the Docs View Tutorials