baulab/Qwen3-VL-2B-Instruct-GazeHeads-AllLayers-ONNX

Qwen3-VL-2B-Instruct — Gaze-Head Steering, ALL LAYERS (ONNX, WebGPU)

Same as baulab/Qwen3-VL-2B-Instruct-GazeHeads-ONNX but with every transformer layer decomposed, so the gaze_head_mask / gaze_sign steering inputs are honored for all 448 attention heads (28 layers x 16 heads), not just the gaze-hosting layers. Used for the interactive demo control conditions (steer all heads / random heads).

Two extra decoder inputs implement the paper intervention (zeros = original):

• gaze_head_mask (28, 16) float16 — 1.0 selects a head to steer
• gaze_sign (total_seq_len,) float16 — additive pre-softmax attention bias

Inference is slower than the 7-layer build (all layers use decomposed attention instead of fused GroupQueryAttention). Weight data is bit-identical to the upstream export; only the decoder graph differs.