{"apiVersion":"v1","taxonomyVersion":1,"generatedAt":"2026-10-29T14:05:07.893Z","data":{"recordId":"wsa_49zje7dutsg3","score":1,"confidence":"high","capped":false,"capReason":null,"sources":[{"n":1,"url":"https://huggingface.co/LiquidAI/d1-3B","publisher":"Liquid AI","authority":"owner-controlled","verification":"verified","lastRetrievedAt":"2026-10-29T00:08:40.326Z","detectedPublishedAt":"2026-10-05T09:55:28.000Z","rights":"original"},{"n":2,"url":"https://www.liquid.ai/blog/d1-open","publisher":"Liquid AI","authority":"owner-controlled","verification":"verified","lastRetrievedAt":"2026-10-29T00:08:40.326Z","detectedPublishedAt":"2026-10-07T00:00:00.000Z","rights":"original"},{"n":3,"url":"https://huggingface.co/blog/LiquidAI/open-d1","publisher":"Hugging Face","authority":"other","verification":"verified","lastRetrievedAt":"2026-10-29T00:08:40.326Z","detectedPublishedAt":"2026-10-07T16:54:33.000Z","rights":"original"}],"claims":[{"id":"3e7f1900-c26e-4a7d-a4b0-59b847722c6b","kind":"availability","statement":"d1-3B is available on Hugging Face.","citations":[{"source":2,"supportProbability":0.97,"supports":true,"quote":{"text":"d1-3B and d1-omni-600M models are available today on Hugging Face.","rights":"original"}},{"source":3,"supportProbability":0.01,"supports":false,"quote":null}]},{"id":"327ed7ce-55a8-4d4e-a2ec-5368de402442","kind":"deployment","statement":"d1-3B has day-one support for llama.cpp.","citations":[{"source":2,"supportProbability":0.88,"supports":true,"quote":{"text":"d1-3B and d1-omni-600M run the full NVIDIA stack — from DGX in the data center, to RTX workstations, to Jetson at the edge —  with day-one support for llama.cpp.","rights":"original"}}]},{"id":"8b9da1da-4b90-440b-9a32-c836e5bc0c6d","kind":"availability","statement":"The model can be loaded from Hugging Face as LiquidAI/d1-3B using Transformers.","citations":[{"source":1,"supportProbability":0.93,"supports":true,"quote":null},{"source":3,"supportProbability":0.01,"supports":false,"quote":null}]},{"id":"a74f033a-1eed-4e7a-a2a7-e71354b51a53","kind":"capability","statement":"d1-3B returns calibrated, typed answers in one forward pass with zero output tokens.","citations":[{"source":1,"supportProbability":0.99,"supports":true,"quote":{"text":"typed answers in **one forward pass with zero output tokens**.","rights":"original"}}]},{"id":"690862eb-0e9d-48b5-bb2a-0628707bf468","kind":"recommendation-relevant","statement":"Liquid AI recommends it for yes/no decisions, named-option selection, or ratings, and says it is not a chat model and does not write text.","citations":[{"source":1,"supportProbability":0.98,"supports":true,"quote":{"text":"It is not a chat model and does not write text.","rights":"original"}}]},{"id":"161f1265-a90d-418d-865f-b0c8f0f1f254","kind":"capability","statement":"The model has 3.12B total parameters and a context length of 32,768 tokens.","citations":[{"source":1,"supportProbability":0.98,"supports":true,"quote":null}]},{"id":"12c336c1-bb6c-4bec-9cb4-781981368cf9","kind":"capability","statement":"It accepts text, JSON, images, or a mixture as its state.","citations":[{"source":1,"supportProbability":0.98,"supports":true,"quote":{"text":"You give it a state (text, JSON, images, or a mix) and a set of questions.","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."}}}