{"schema_version":"onlylabs.public_signal.v1","title":"Tencent Hunyuan Model: tencent/Hy-Nomas","description":"Tencent Hunyuan model signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/30ab4f82-5fe9-4cf4-9af8-4fbe923e5e8e","json_url":"https://onlylabs.fyi/signals/30ab4f82-5fe9-4cf4-9af8-4fbe923e5e8e/signal.json","generated_at":"2026-10-24T20:17:35.212Z","evidence_latest_fetched_at":"2026-10-24T07:20:25.990577+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/30ab4f82-5fe9-4cf4-9af8-4fbe923e5e8e","signal_json":"https://onlylabs.fyi/signals/30ab4f82-5fe9-4cf4-9af8-4fbe923e5e8e/signal.json","source":"https://huggingface.co/tencent/Hy-Nomas","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/Hy-Nomas. 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It generates a world one video segment at a time, allowing users to introduce objects, change styles and scenes, describe actions, or control the camera as generation continues. The model combines a segment-autoregressive diffusion transformer (DiT), a Qwen text encoder, camera-conditioning modules, and a PixelUMM video decoder. A persistent key/value (KV) cache carries context between segments. The distilled inference configuration uses **8 denoising steps**, with **720 × 1280** output at **24 FPS**. A separate configuration supports video generation on a **single NVIDIA GeForce RTX 4090** using INT8 DiT weights, an INT8 KV cache, an FP8 decoder, and CPU offload. 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