{"apiVersion":"v1","taxonomyVersion":1,"generatedAt":"2026-10-29T15:43:34.351Z","data":{"recordId":"wsa_nn5ry27p65k7","score":0.3,"confidence":"low","capped":false,"capReason":null,"sources":[{"n":1,"url":"https://huggingface.co/ornith-ai/Ornith-1.5-122B-NVFP4","publisher":"Hugging Face","authority":"owner-controlled","verification":"verified","lastRetrievedAt":"2026-10-28T00:51:38.871Z","detectedPublishedAt":"2026-10-20T01:09:28.000Z","rights":"original"}],"claims":[{"id":"c070f3c1-5700-4147-bd12-2e9e131db751","kind":"availability","statement":"The model card documents Ornith-1.5-122B, a member of the Ornith-1.5 family.","citations":[{"source":1,"supportProbability":0.38,"supports":false,"quote":{"text":"This model card documents **Ornith-1.5-122B**, the most capable and efficient.member of the Ornith-1.5 family — a 122B MOE model designed for efficient single-GPU deployment, and edge-deployable on mobile devices via its quantized Ornith-1.5-122B-Mobile variant.","rights":"original"}}]},{"id":"a321338f-cf83-42d3-93d9-eedc8ed1a227","kind":"capability","statement":"Ornith-1.5 jointly optimizes task generation, scaffold construction, and solution rollouts.","citations":[{"source":1,"supportProbability":0.68,"supports":false,"quote":{"text":"Ornith-1.5 extends Ornith-1.0 (which was developed on top of Qwen3.5 and Gemma4 with additional continued pretraining, mid-training, and post-training) by expanding the self-improvement loop from scaffold and rollout optimization to jointly optimizing task generation, scaffold…","rights":"original"}}]},{"id":"b3587541-6e3b-45e9-b6cc-65b75e6c7339","kind":"deployment","statement":"Ornith-1.5-122B is designed for efficient single-GPU deployment.","citations":[{"source":1,"supportProbability":0.69,"supports":false,"quote":{"text":"This model card documents **Ornith-1.5-122B**, the most capable and efficient.member of the Ornith-1.5 family — a 122B MOE model designed for efficient single-GPU deployment, and edge-deployable on mobile devices via its quantized Ornith-1.5-122B-Mobile variant.","rights":"original"}}]},{"id":"5e26a50b-08b1-42c9-93c9-15a8c16fe887","kind":"capability","statement":"The model scores 84.5 on SWE-bench Verified (non-hack).","citations":[{"source":1,"supportProbability":0.45,"supports":false,"quote":{"text":"<td style=\"padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);\">SWE-bench Verified<br><sub><small>(non-hack)</small></sub></td>","rights":"original"}}]},{"id":"9ac3dd4d-9f07-40b1-8fd5-63d6e721eea9","kind":"capability","statement":"The model scores 78.5 on BrowseComp.","citations":[{"source":1,"supportProbability":0.35,"supports":false,"quote":{"text":"This model card documents **Ornith-1.5-122B**, the most capable and efficient.member of the Ornith-1.5 family — a 122B MOE model designed for efficient single-GPU deployment, and edge-deployable on mobile devices via its quantized Ornith-1.5-122B-Mobile variant.","rights":"original"}}]}]},"nextCursor":null,"license":{"catalog":{"name":"CC BY 4.0","spdx":"CC-BY-4.0","url":"https://creativecommons.org/licenses/by/4.0/","attribution":"wowsuchai","attributionUrl":"https://wowsuchai.withglint.app","covers":["catalog metadata","classifications","generated summaries","feed event metadata"]},"excluded":{"covers":["source quotations","linked source content"],"terms":"Not licensed by wowsuchai. Source quotations and linked source content keep their original rights."}}}