model

Gemma 4 12B QAT

A twelve-billion-parameter Gemma 4 build distributed with quantization-aware training, so it loads at low precision with less quality loss than post-hoc quantization.

Current clusters

build1 publisher

Qwen3.5-9B's 262K context window would consume the whole 8GB budget in KV cache

A dev.to guide to running local models on 8GB prices the KV cache between 15KB and 160KB per token depending on architecture. At 32K tokens held, that spread is the difference between 0.5GB and 5GB of a fixed budget.

Publishers:dev.to

Reality

Evidence22
Adoption: Insufficient
Hype gap+45
Incentives62
Confidence58