{"apiVersion":"v1","taxonomyVersion":1,"generatedAt":"2026-10-29T14:06:39.144Z","data":{"recordId":"wsa_kx4banqunt6n","score":0.975,"confidence":"high","capped":false,"capReason":null,"sources":[{"n":1,"url":"https://huggingface.co/fastino/GLiNER2.5-Decide","publisher":"Hugging Face","authority":"owner-controlled","verification":"verified","lastRetrievedAt":"2026-10-27T01:17:35.750Z","detectedPublishedAt":"2026-09-23T14:56:12.000Z","rights":"original"},{"n":2,"url":"https://www.alibabacloud.com/help/en/model-studio/newly-released-models#2026-09-24","publisher":"Alibaba Qwen","authority":"owner-controlled","verification":"verified","lastRetrievedAt":"2026-10-27T01:17:35.750Z","detectedPublishedAt":"2026-09-24T00:00:00.000Z","rights":"original"},{"n":3,"url":"https://www.liquid.ai/blog/d1-decision-model","publisher":"Liquid AI","authority":"owner-controlled","verification":"verified","lastRetrievedAt":"2026-10-05T21:08:25.663Z","detectedPublishedAt":"2026-10-05T00:00:00.000Z","rights":"original"}],"claims":[{"id":"4ea15f26-119a-48f7-8cc9-253448b05011","kind":"capability","statement":"It returns probability distributions and confidence scores.","citations":[{"source":2,"supportProbability":0.98,"supports":true,"quote":{"text":"It performs classification, yes-or-no decisions, and scoring in parallel based on text or business context, returning probability distributions and confidence scores for scenarios such as ticket routing, content moderation, agent routing, and result validation.","rights":"original"}}]},{"id":"8eecebe8-0ac2-4594-8763-97a46db54bab","kind":"capability","statement":"It operates based on text or business context.","citations":[{"source":2,"supportProbability":0.97,"supports":true,"quote":{"text":"It performs classification, yes-or-no decisions, and scoring in parallel based on text or business context, returning probability distributions and confidence scores for scenarios such as ticket routing, content moderation, agent routing, and result validation.","rights":"original"}}]},{"id":"4d67362a-1307-4345-8fd7-288a64984b86","kind":"availability","statement":"Its service scope is International.","citations":[{"source":2,"supportProbability":0.88,"supports":true,"quote":{"text":"Service scope: International","rights":"original"}}]},{"id":"0d63b6e2-0480-4ad9-8888-660e2122f72a","kind":"recommendation-relevant","statement":"Listed use cases include ticket routing, content moderation, agent routing, and result validation.","citations":[{"source":2,"supportProbability":0.97,"supports":true,"quote":{"text":"It performs classification, yes-or-no decisions, and scoring in parallel based on text or business context, returning probability distributions and confidence scores for scenarios such as ticket routing, content moderation, agent routing, and result validation.","rights":"original"}}]},{"id":"a7ebda63-ae98-431c-947f-29974888f028","kind":"capability","statement":"The 340M English model accepts any label set at call time.","citations":[{"source":1,"supportProbability":0.95,"supports":true,"quote":{"text":"**The 340M English classification model in the GLiNER2.5 family.** Pass any label set at call time: intent, routing, sentiment, priority, policy, and multi-label tags, in a single forward pass.","rights":"original"}}]},{"id":"2d82c156-6736-4105-8f6d-ce6718652947","kind":"capability","statement":"A single forward pass can score several classification heads.","citations":[{"source":1,"supportProbability":0.95,"supports":true,"quote":{"text":"**The 340M English classification model in the GLiNER2.5 family.** Pass any label set at call time: intent, routing, sentiment, priority, policy, and multi-label tags, in a single forward pass.","rights":"original"}}]},{"id":"39c9cc85-57f2-4563-a1e7-93fde369e121","kind":"availability","statement":"The model can be loaded with AutoExtractor from fastino/GLiNER2.5-Decide.","citations":[{"source":1,"supportProbability":0.97,"supports":true,"quote":null}]},{"id":"08bb668a-d46d-4254-9adc-719b1d84f3c6","kind":"deployment","statement":"The model can be loaded and shipped locally.","citations":[{"source":1,"supportProbability":0.95,"supports":true,"quote":{"text":"**The 340M English classification model in the GLiNER2.5 family.** Pass any label set at call time: intent, routing, sentiment, priority, policy, and multi-label tags, in a single forward pass.","rights":"original"}}]},{"id":"c2864ac4-753e-472f-87c3-312741eb5303","kind":"recommendation-relevant","statement":"The release is not a general-purpose model and does not reason, explain, or answer open questions.","citations":[{"source":1,"supportProbability":0.98,"supports":true,"quote":{"text":"It does not reason, explain, or answer open questions.","rights":"original"}}]},{"id":"32f4a497-ce3f-4b89-b02e-db5f0193aa5a","kind":"recommendation-relevant","statement":"The benchmark suite is English; the source recommends GLiNER2.5-multi-Decide for multilingual input.","citations":[{"source":1,"supportProbability":0.98,"supports":true,"quote":null}]}]},"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."}}}