{"schema_version":"onlylabs.public_signal.v1","title":"Tencent Hunyuan Model: tencent/WeVisOne-VL-2B","description":"Tencent Hunyuan model signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/a43d7916-d68a-4ca9-b084-243ea10a3483","json_url":"https://onlylabs.fyi/signals/a43d7916-d68a-4ca9-b084-243ea10a3483/signal.json","generated_at":"2026-10-24T20:22:22.359Z","evidence_latest_fetched_at":"2026-10-24T07:20:26.145401+00:00","signal_first_seen_at":"2026-10-24T07:20:09.722268+00:00","org":{"slug":"tencent-hunyuan","name":"Tencent Hunyuan","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/tencent-hunyuan","dossier_json_url":"https://onlylabs.fyi/labs/tencent-hunyuan/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/a43d7916-d68a-4ca9-b084-243ea10a3483","signal_json":"https://onlylabs.fyi/signals/a43d7916-d68a-4ca9-b084-243ea10a3483/signal.json","source":"https://huggingface.co/tencent/WeVisOne-VL-2B","lab_dossier":"https://onlylabs.fyi/labs/tencent-hunyuan","lab_dossier_json":"https://onlylabs.fyi/labs/tencent-hunyuan/dossier.json","analysis":"https://onlylabs.fyi/analysis/tencent-hunyuan","analysis_json":"https://onlylabs.fyi/analysis/tencent-hunyuan/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/tencent-hunyuan/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":"https://onlylabs.fyi/topics/releases","topic_signals_json":"https://onlylabs.fyi/topics/releases/signals.json","topic_feed":"https://onlylabs.fyi/topics/releases/feed.xml","data_business":null},"answer_pack":{"answer":"Tencent Hunyuan published tencent/WeVisOne-VL-2B. 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Built upon Qwen3-VL, it unifies object-level perception (open-vocabulary object detection, referring localization, object counting, object pointing, and OCR) and pixel-level perception (referring segmentation and promptable alpha matting) through structured next-token prediction and a lightweight 9.5M-parameter pixel decoder. 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