Card: DeviceMark row (2026-09)

README.md

@@ -18,6 +18,10 @@ base_model_relation: quantized
 
 Core AI is Apple's on-device ML runtime in iOS 27 / macOS 27 and the successor to Core ML: PyTorch models are exported with Apple's `coreai-torch` (LLMs: `coreai.llm.export`) into `.aimodel` bundles that run on the GPU or the Neural Engine, e.g. Qwen3-8B 4-bit decodes at 94 tok/s on an M4 Max GPU, MLX 90 under the same protocol ([apple-silicon-llm-bench](https://github.com/john-rocky/apple-silicon-llm-bench), macOS 27 beta, 2026-06).
 
+<!-- gen-cards:devicemark begin (managed by scripts/gen-cards + tools/devicemark_row.py — edit cards.json, not this block) -->
+This model has no row on [DeviceMark](https://devicemark.github.io/), the on-device LLM leaderboard.
+<!-- gen-cards:devicemark end -->
+
 # LFM2.5-VL-3B — Apple Core AI (`.aimodel`)
 
 **LiquidAI's LFM2.5-VL-3B converted to Apple's Core AI** (the Core ML successor announced at