-complete-tinymodel.raven. !link! | HOT |

The model typically features a stylized aesthetic faithful to the source material, often including dynamic hair physics and custom outfits.

The "-COMPLETE-" marker suggests that no further updates are planned for this specific build. However, the model architecture will likely evolve into: -COMPLETE-Tinymodel.raven.

The Raven model offers a superior accuracy/power trade-off, likely due to hardware-aware quantization and fused activation functions. The model typically features a stylized aesthetic faithful

| Model | Size (KB) | Accuracy (Top-1) | Latency (ms) | Power (mW) | | :--- | :--- | :--- | :--- | :--- | | MobileNetV1 0.25 | 1,800 | 67.2% | 3.4 | 210 | | | 890 | 68.9% | 1.2 | 75 | | SqueezeNet 1.1 | 4,700 | 69.5% | 5.1 | 450 | | ESPnet-Tiny | 520 | 61.4% | 0.9* | 60* | | Model | Size (KB) | Accuracy (Top-1)

On standard VLM tasks (e.g., VQAv2, GQA), COMPLETE-Tinymodel.raven achieves: