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AnonSubmi/Qwen3-VL-2B-Instruct-GazeHeads-AllLayers-ONNX
Qwen3-VL-2B-Instruct-GazeHeads-AllLayers-ONNX is a image-text-to-text model from AnonSubmi. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers.js. The card lists the license as apache-2.0.
Anonymous review artifact for WACV 2027 submission 759.
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From the Hugging Face model README
Anonymous review artifact for WACV 2027 submission 759.
ONNX export (q4f16) of Qwen3-VL-2B-Instruct for transformers.js/WebGPU whose decoder graph carries two extra inputs implementing the paper's attention-steering intervention:
gaze_head_mask of shape (28, 16): selects which attention heads to steer.gaze_sign of shape (total_seq_len,): a per-KV-position additive
pre-softmax attention bias (plus or minus delta) applied to the selected
heads.Every layer is decomposed, so all 448 heads are steerable; one model serves the demo's gaze, random-head, and all-head modes. The accompanying browser demo precomputes vision features offline, so the vision encoder file here is a stub and the vision tower never runs in the browser.