Looking for collaborators (dataset curation / fine-tuning) — ZYR3.1MoE, open-weights multi-agent orchestration model

The developer of ZYR3.1MoE, an open-weights 9B-parameter multi-agent orchestration model built on a Qwen base, is seeking one or two collaborators for dataset curation, agent orchestration, or fine-tuning work. The model uses a layered stack — an ATP layer for planning, task decomposition, and verification, an ACN layer for inter-component messaging, and a MeO Router/Reasoner/Synthesizer that routes tasks to 11 specialist agents including Planner, Researcher, Reasoner, Coder, Math, Critic, Fact Checker, Creative, Optimizer, Reviewer, and a Computer agent. The developer says the project is currently run solo and is recruiting people with experience in tool-use datasets, agent trajectories, or MoE merges.

Hi, I’m the developer behind ZYR3.1 zyr-AGENT/ZYR3.1MoE . It’s an open weights, merged, standalone model — 9B parameters, fully self-contained no adapter/PEFT step needed , built on a Qwen base. The design is a layered multi-agent orchestration stack: an ATP layer handles planning, task decomposition, and verification; an ACN layer carries messages between components; and MeO Router/Reasoner/Synthesizer decides which of 11 specialist agents — Planner, Researcher, Reasoner, Coder, Math, Critic, Fact Checker, Creative, Optimizer, Reviewer, and a Computer agent — get involved for a given task. Simple questions skip the orchestration entirely and go straight to the base model; only real work requests trigger the full plan → route → build → verify loop. I’ve also been careful to separate trained behavior from real execution — there’s a demo trace showing the simulated “team chat” style the model produces, and a separate, genuinely externally-verified trace real commands, real exit codes, real pass/fail so people can see the difference rather than take marketing copy at face value. I’m running this solo right now and looking for one or two collaborators who enjoy dataset curation, agent orchestration, or fine-tuning work — especially if you’ve worked on tool-use datasets, agent trajectories, or MoE merges. Happy to go deep on the architecture or the eval setup with anyone interested. Model card: zyr-AGENT/ZYR3.1MoE · Hugging Face https://huggingface.co/zyr-AGENT/ZYR3.1MoE