AtomicChat’s Uncensored DeepSeek Fits 12GB GPUs

This is less a consumer-GPU miracle than a clever combination of extreme quantization, SSD streaming, and weight-level abliteration—but it makes an enormous model unusually accessible for local experimentation.

• –JailbreakBench refusals fell from roughly 85–89% to 0% across the tested quantization levels.
• –MMLU stayed within about one point of the stock quantized model, with KL divergence around 0.02.
• –The 12GB GPU is only part of the requirement; system memory, storage capacity, and SSD throughput remain substantial bottlenecks.
• –Strata is currently essential because DeepSeek’s separate Engram table is not yet supported by llama.cpp.
• –Removing safeguards improves local control but also removes topic-specific protections, making isolated deployment and careful credential handling important.