kinasr/imajev-2b-web-visual-testing

AI model by kinasr

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imajev-2b-web-visual-testing is a specialized, typed-decision Vision-Language Model fine-tuned for Automated Web Visual Regression Testing. Unlike conventional VLMs that generate free-form text or unstable JSON (introducing latency and pipeline flakiness), this model operates as a single-forward-pass semantic classifier built on top of Qwen/Qwen3.5-2B using LoRA and a calibrated Float32 decision readout head (decisionreadout.safetensors). It accepts two screenshot images (Reference/Golden Baseline vs. Current Screen) along with live browser telemetry (appstate), evaluates the diff, and outputs calibrated probabilities across…

kinasr/imajev-2b-web-visual-testing on Hugging Face A short preview, not the full document.

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Model overview

kinasr/imajev-2b-web-visual-testing is a task-unspecified model repository published by kinasr on Hugging Face. The source reports the peft library.

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Model facts

Task: Not reported
Library: peft
Recent downloads (30 days): 0
Cumulative likes: 0
Hugging Face trending score: 0
Reported safetensors parameters: Not reported
Architecture: Not reported
License: Not reported — check the model card
Access: Not gated by Hugging Face
Created: 2026-10-23T06:28:29.000Z
Last modified: 2026-10-23T06:28:42.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: Qwen/Qwen3.5-2B

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