[HUGGINGFACE]score: 0.72

IQuest-Q1 Sparse MoE Model for Agentic CLI Systems

October 21, 2026

IQuest-Q1 is a 320B parameter sparse Mixture-of-Experts model with 15B activated parameters designed for agentic coding. It utilizes Stable SplitNorm and Muon during a three-stage training process to maintain stability while increasing coding-data density.

HOW THIS AFFECTS YOU

●

builderYou can leverage a massive-scale MoE specialized for complex terminal and CLI automation.

●

researcherThe integration of Stable SplitNorm and Muon offers insights into scaling stability for coding-heavy MoE models.

●

founderThis represents a significant leap in foundation models specifically optimized for the agentic coding market.

read original ↗huggingface.co

DAILY DIGEST

you don't check 9 sources — we do. one email every morning, read in 2 min. free. unsubscribe anytime. privacy

← back to feed