dramabox

Updated
07.07.2026
Tools
Thinking
Run

Run DramaBox locally with Atomic Chat — offline, private, and free. No cloud, no usage limits.

atomic run Qwen/minicpm-v-4.6
curl https://api.atomic.chat/v1/run \
  -H "Authorization: Bearer $ATOMIC_KEY" \
  -d '{"model": "Qwen/minicpm-v-4.6", "prompt": "Hello"}'
from atomic import load_model

model = load_model("Qwen/minicpm-v-4.6")
output = model.run("Your prompt here")
print(output)
import { loadModel } from "atomic";

const model = await loadModel("Qwen/minicpm-v-4.6");
const output = await model.run("Your prompt here");
console.log(output);

More models

View all
NameSize / UsageContextInput
supertonic-3
0.4B421KText, Image

At a glance

  • License: Apache 2.0 — free for commercial use
  • Context length: 128K tokens
  • Languages: 29 languages, English-optimized
  • Minimum hardware: 16 GB RAM, runs on Apple Silicon
  • Strengths: reasoning, coding and multilingual document understanding

Overview

DramaBox is an open model you can download and run locally in Atomic Chat — fully offline and private.

  • Parameters: 0.4B
  • Context length: 256K tokens
  • Input: text and images
  • Runs: locally on your own hardware, no cloud
  • Cost: free — no API keys, no usage limits

Highlights

  • Runs locally — download once and use it fully offline in Atomic Chat.
  • Private by default — prompts and data never leave your device.
  • No usage limits — no API keys, no per-token fees.
  • One-click setup — install from the Atomic Chat catalog and start chatting.

Running it locally

Open DramaBox in Atomic Chat and it downloads with one click, then runs entirely on your machine — no account and no internet connection required after the download.

Desktop
macOS
(M1 or better)
Download
Windows
(x64)
Download
Linux
(x86_64)
Download

Frequently asked questions

Yes. Once the weights are downloaded the model runs entirely on your device — no internet connection, API key or account is required, and no data leaves the machine.

The model runs on consumer hardware — a recent laptop or desktop with enough memory is enough. Quantized builds lower the requirement further, and a discrete GPU speeds up generation but is optional.