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* feat(ui): make hardware starter models data-driven The empty-state starter widget recommended from a hardcoded list, which drifts as the gallery evolves. Add useRecommendedModels: it queries the live gallery for chat-capable models (their natural curated order, since the gallery exposes no popularity signal), estimates size/VRAM for the top candidates via the existing estimate endpoint, and ranks by hardware fit - smallest on CPU-only boxes, largest-that-fits on GPUs. StarterModels now renders those live picks and keeps the curated static list only as an offline/trimmed-gallery fallback. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:claude-opus-4-8 [Claude Code] * feat(ui): recommend models for your hardware in the gallery Hardware-aware recommendations were only shown on the first-run empty state. Surface them on the main Models gallery too: a dismissible "Recommended for your hardware" strip at the top, sharing the useRecommendedModels fit-ranking with the starter widget. CPU-only boxes get small models; GPUs get the largest picks that fit VRAM, with size and VRAM shown per card. One-click install; dismissal persists per browser. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:claude-opus-4-8 [Claude Code] * feat(ui): gpu-mid tier + NVIDIA NVFP4 model recommendations Refine the hardware recommendation tiers and curated picks: - Add a gpu-mid tier (8-24GB VRAM) between gpu-small and gpu-large, so ~27B-class models are suggested separately from the 30B+ large tier. - Detect NVIDIA GPUs (resources.gpus[].vendor) and, on NVIDIA only, prefer NVFP4 + MTP variants (Blackwell-optimised); NVFP4 models are filtered out of recommendations on non-NVIDIA hardware where they can't run. This applies to both the live ranking and the static fallback, with an NVFP4 badge shown on those picks. - Refresh the curated fallback to current models: Gemma-4 QAT Q4 builds at every tier, low qwen3.5 (4B distilled / 9B) on CPU/small, qwen3.6-27b and MTP variants at mid, qwen3.6/qwen3.5 35B-A3B apex/distilled at large. All names verified against gallery/index.yaml. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:claude-opus-4-8 [Claude Code] --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io>