{"apiVersion":"v1","taxonomyVersion":1,"generatedAt":"2026-10-30T03:36:12.053Z","data":{"recordId":"wsa_jnr6y5t9tjsy","score":0.883,"confidence":"high","capped":false,"capReason":null,"sources":[{"n":1,"url":"https://huggingface.co/IQuestLab/IQuest-Q1","publisher":"Hugging Face","authority":"owner-controlled","verification":"verified","lastRetrievedAt":"2026-10-28T00:27:38.878Z","detectedPublishedAt":"2026-09-28T06:37:48.000Z","rights":"original"}],"claims":[{"id":"7217d77b-9713-433a-8f7b-7a9fc96665ef","kind":"capability","statement":"IQuest-Q1 is designed for agentic coding, reasoning, and multi-step tool use.","citations":[{"source":1,"supportProbability":0.95,"supports":true,"quote":{"text":"**IQuest-Q1** is a Mixture-of-Experts (MoE) model developed by **IQuest** for agentic coding, reasoning, and multi-step tool use.","rights":"original"}}]},{"id":"4252a606-6c74-4adf-9a99-99cfb2eb0a0f","kind":"capability","statement":"The model has approximately 320B total parameters and an estimated 15B activated parameters per token.","citations":[{"source":1,"supportProbability":0.98,"supports":true,"quote":{"text":"It comprises approximately **320B total parameters**, with an estimated **15B parameters activated per token**.","rights":"original"}}]},{"id":"4e5e9296-8203-47c0-b4da-ad38b0327bd4","kind":"capability","statement":"IQuest-Q1 has a context length of 524,288 tokens.","citations":[{"source":1,"supportProbability":0.96,"supports":true,"quote":{"text":"| Context length | 524,288 |","rights":"original"}}]},{"id":"930dfdf7-1bf2-4c78-b0e9-c45f1c5da4f9","kind":"availability","statement":"The checkpoint can be downloaded from Hugging Face.","citations":[{"source":1,"supportProbability":0.44,"supports":false,"quote":null}]},{"id":"54a2186d-c7cb-4cbc-9032-8ae18b6ce0a2","kind":"deployment","statement":"The source recommends SGLang or vLLM for production deployment.","citations":[{"source":1,"supportProbability":0.98,"supports":true,"quote":{"text":"For production deployment, we recommend using [SGLang](https://github.com/sgl-project/sglang/pull/41590) or [vLLM](https://github.com/IQuestLab/vllm-iquest-q1).","rights":"original"}}]},{"id":"845b5768-7a48-4a74-b9b0-6dface042075","kind":"capability","statement":"The checkpoint has text-only input and no native image, audio, or video input capability.","citations":[{"source":1,"supportProbability":0.98,"supports":true,"quote":{"text":"- **Text-only input.** This checkpoint has no native image, audio, or video input capability.","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."}}}