2026-10-11 17:13 UTC

Icosa claims Zeno can offload its bundled 4-bit Qwen3.6-35B-A3B to run fully locally on 16GB Macs with usable agentic file-work performance, which would make a 35B-class local work agent viable on base-memory Apple hardware.

state: expiredheat: lowuncertainty: highknownscott: mediumlocal-inference coding-agentsIcosa

What is this?

Icosa announced Zeno, described in the supplied evidence titles as a free local Mac AI work tool bundling a 4-bit Qwen3.6-35B-A3B model and claimed to run fully locally on a 16GB Mac. The supplied web snippets do not independently document Zeno or explain Icosa’s offloading method, while hardware guidance for comparable 35B-A3B 4-bit models reports roughly 18–19.5GB model memory, a practical floor of about 32GB, and substantially more memory for useful agentic context. The core 16GB claim is therefore unverified and conflicts with the available memory estimates, despite a separate article arguing that the model’s 3B active parameters make local agentic use comparatively viable.

Why it matters to Scott

The radar already tracks this exact development in `radar:zeno-qwen35-16gb-mac`, including the need for independent testing of practical agentic performance. The claim bears directly on Scott’s hardware-aware local-inference work and the local execution path in his Ask terminal agent, but the supplied evidence adds no verification that would yet change his build choices.
dev:concept.hardware-aware-local-inferencedev:project.askradar:zeno-qwen35-16gb-macradar:concept.local-inferenceradar:concept.apple-silicon-inferenceradar:concept.coding-agents
queries asked of Scott's wikis
  • local-agent memory budgeting and context limits
  • Apple unified-memory inference constraints
  • MoE active parameters versus total model footprint
  • model offloading for low-memory local inference
  • minimum viable hardware for local coding agents
  • local-first agentic file-work architecture

Measured heat

no measured readings yet — the hourly heat pass fills this in

How the heat travelled

no chain yet — the hourly chain pass fills this in

Evidence (2) — ⭐ canonical anchor

sourceobjectauthorscorecomments
🟠 redditWe built a local AI work tool that runs Qwen3.6-35B-A3B on a 16GB Mac (update)
LocalLLaMA
close_Meal600509
🟧 echo.other ⭐The earlier post is the same author's original announcement: Icosa released Zeno, a free local Mac AI work tool using a 4-bit 35B Qwen modelclose_Meal6005 (self-described Icosa intern)——

Interpretation history

Decision trace