Janas is a new method for running that exceed available RAM by streaming model components from an SSD or storage device. The approach achieves 37 per second when running Qwen3-Next-80B, a 48 GB model, on a laptop with only 32 GB of memory.
Benchmarks show Janas outperforms llama.cpp across 13 model comparisons at Q4_K_M quantization levels, with both and reading speeds substantially higher. The technique addresses a core constraint in consumer AI: enabling users to run state-of-the-art large models on standard hardware without cloud access or expensive upgrades.
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