dinov2: packaging/dinov2cpp/ builds dinov2.cpp with ggml's Vulkan
backend plus a coderai `embed` stdin/stdout server (HF-matching
preprocessing: short-side 256 bicubic, center-crop 224; CLS read via
ggml_backend_tensor_get so GPU backends work; DINOV2_FORCE_CPU escape
hatch). embeddings.py 'dinov2cpp' backend drives one persistent
subprocess per model (evict = terminate, reload = respawn); dinov2
GGUF entries route there. Verified on the RX 580: cos 0.9973 vs the
HF dinov2-large backend.

Tasks page: every task now shows the compute device it runs on and
whether the model is CPU-offloading. record_vram_delta records
per-model device+offload ("GPU RTX 3090 · CPU offload 12.4 GB");
api_tasks tags each task from that map (engine default as fallback);
tasks.html renders a green/amber/gray badge (GPU / offload / CPU).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_014S8VtAvG499SsCbeESRK7V