llama.cpp b9274 fixes MTP VRAM leak crashing models

llama.cpp build b9274 patches a VRAM memory leak in the Multi-Token Prediction draft resource allocation path that was silently unloading models mid-session on affected hardware. The bug hit users running MTP-capable models like Qwen 3.6, where GPU memory would accumulate unchecked until the runtime forcibly ejected the model, often after just a few minutes of active use. The fix lands two days after build b9254 addressed a separate text-generation regression, marking a concentrated stabilization push as MTP support matures across diverse GPU configurations. Essentially: (llama.cpp maintainers, Qwen 3.6 users) are working through the integration debt that comes with shipping a complex inference feature across heterogeneous consumer and prosumer hardware. - Build b9274 targets the draft resource allocation path specifically, where MTP pre-allocates VRAM for speculative tokens without releasing it correctly on some configurations. - The back-to-back patch cadence (b9254, b9274) suggests MTP's stabilization is still active, not concluded. - Users on affected setups were getting no error message, just a silent model unload, making diagnosis difficult without monitoring VRAM directly. For the local inference community, rapid patch cycles like this are the cost of early access to frontier inference techniques on hardware the developers cannot fully anticipate.