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IQuest-Q1 MoE model released with 320B parameters

IQuest-Q1 is a new Mixture-of-Experts (MoE) model developed by IQuest, designed for agentic coding, reasoning, and multi-step tool use. The model boasts a total of 320 billion parameters, with approximately 15 billion parameters activated per token. It is available on Hugging Face. AI

IMPACT This new MoE model could offer improved efficiency for agentic tasks and multi-step reasoning.

RANK_REASON Release of a new open-source model with detailed technical specifications. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

IQuest-Q1 MoE model released with 320B parameters

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/jacek2023 ·

    IQuestLab/IQuest-Q1 · Hugging Face

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1wt6gkp/iquestlabiquestq1_hugging_face/"> <img alt="IQuestLab/IQuest-Q1 · Hugging Face" src="https://external-preview.redd.it/sGRjPnc9MRQ9-Y2X1xYrQxEvd6VzA_1DltJuIs03CGc.png?width=640&amp;crop=smart&amp;auto=w…