Every published setup that reports this model, with its machines, quantization, runtime and reported results. Use the directory filters below to narrow by quantization, capacity or runtime.
Observed across 2 published setups. Counts describe what contributors run, not what the model is “good for”.
Capacity is the reported total for this setup. Multi-GPU and unified-memory layouts can behave differently.
A retired teacher with no coding background built an animated avatar assistant on a local 9B model, then bridged its persistent memory into a virtual world so it inhabits two bodies.
A model-agnostic personal automation system switched from a cloud model to Qwen 3.5 9B on an M1 Pro MacBook with 16GB of unified memory, handled a real subset of agent work locally, and ran 0.8B/2B models on an iPhone.
