Atomic Chat

“Qwen won on every dimension - biggest jump, 9 cheaper than Claude, 2 cheaper than GPT. Long agentic loops is where Qwen Max actually delivers.”

“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.”

“Quantized Gemma 4 assistant models into GGUF format. Ran tests on a MacBook Pro M5Max. Gemma 26B with MTP drafts tokens 40% faster.”

“Both stacks now have working Gemma 4 MTP support, so I tested all three model variants we have public drafters for. TL;DR Stack Model t/s Accept Notes llama.cpp + AtomicChat fork Gemma 4 E2B 206.6 60.9% Single-stream cap for ~5B model vLLM…”more

“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…”more

“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!”