Atomic Chat

Atomic ChatAtomic Chat
Atomic Chat

Atomic Chat

Run LLMs locally, offline, and privately with no rate limits or subscriptions.

DR 602023Active6
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About

Atomic enables users to run large language models (LLMs) like Llama, Qwen, and DeepSeek directly on their devices, ensuring 100% offline privacy and no data leaves the user's machine. It supports over 1000 models from the Hugging Face ecosystem and offers features like custom AI assistants.
Frequently asked

What does Atomic Chat do?

Atomic enables users to run large language models (LLMs) like Llama, Qwen, and DeepSeek directly on their devices, ensuring 100% offline privacy and no data leaves the user's machine. It supports over 1000 models from the Hugging Face ecosystem and offers features like custom AI assistants.

When was Atomic Chat founded?

Atomic Chat was founded in 2023.

What industry does Atomic Chat operate in?

Atomic Chat operates in On-Device AI, Edge AI, Large Language Model, Foundation Model, AI Tool, Privacy.

How many employees does Atomic Chat have?

Atomic Chat has approximately 6 people on record.

HEADCOUNT
6
DOMAIN RATING
60
Comments
(6)
6 positive0 mixed0 negative
Reddit
r/Qwen_AIu/gladkosMay 21, 2026Positive

Qwen won on every dimension - biggest jump, 9× cheaper than Claude, 2× cheaper than GPT. Long agentic loops is where Qwen Max actually delivers. Open source Local Ai app: Atomic.Chat

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Reddit
r/LocalLLaMAu/gladkosMay 14, 2026Positive

Implemented Multi-Token Prediction for QWEN on LLaMA.cpp with TurboQuant. +40% performance! 90% acceptance rate. Running locally on a MacBook Pro M5 Max 64GB RAM. Outputs: LLaMA.cpp + TurboQuant: 21 tokens/s LLaMA.cpp + TurboQuant + MTP: 34…

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Reddit
r/LocalLLMu/aurelienamsMay 8, 2026Positive

Hey everyone — first public Gemma 4 MTP bench on consumer Blackwell mobile that I'm aware of (RTX 5090M Laptop GPU, sm_120, 24GB GDDR7 — the GPU in the new Olares One). Both stacks now have working Gemma 4 MTP support, so I tested all three…

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Reddit
r/LocalLLaMAu/gladkosMay 8, 2026Positive

Implemented Multi-Token Prediction for LLaMA.cpp. Quantized Gemma 4 assistant models into GGUF format. Ran tests on a MacBook Pro M5Max. Gemma 26B with MTP drafts tokens 40% faster. Prompt: Write a Python program to find the nth Fibonacci n…

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Reddit
r/AISEOInsideru/JamMasterJulianApr 5, 2026Positive💎

Atomic Chat OpenClaw is the easiest way right now to run OpenClaw locally without fighting complicated installs or paying for tokens every time your agent runs. Most people never get past the setup stage with agent frameworks because enviro…

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Reddit
r/LocalLLaMAu/gladkosMar 27, 2026Positive

Previously, it was basically impossible to handle large context prompts on this device. But with the new algorithm, it now seems feasible. Imagine running OpenClaw on a regular device for free! Just a MacBook Air or Mac Mini, not even a Pro…

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