Sonderr v1.5.16 — AI swarm and verified Q4 runtime

Sonderr 1.5.16 — The read-only AI swarm

Sonderr rooms now support an accountable lead and up to three task-focused workers. They can share findings, ask and answer directed help requests, flag evidence-backed risks, cross-review one another, and vote in the lead's poll. The human vote is shown separately. The Alt+5 team room includes live activity, profiles, and saved-room recovery. Worker calls remain read-only, and their conclusions are presented as AI assessments for review.

Workspace and static-file access now checks canonical paths to block symlink aliases into protected data or outside allowed roots. Skill loading and small-model tool routing are also improved.

Sonderr-v1 Q4 local runtime

Compatible Linux x64 devices can install a SHA-256-verified Q4_0 model and bundled llama.cpp CPU runtime (about 370 MB total). The installer checks the downloaded model and runtime against release-pinned SHA-256 values before installing. It requires glibc 2.34+, GLIBCXX 3.4.31+, OpenSSL 3, and libgomp. Other platforms use the existing merged Transformers model and CPU runtime.

The Q4 model is derived from the merged Qwen2.5-0.5B-Instruct checkpoint, distributed under Apache-2.0. The model card and upstream license are attached. The bundled llama.cpp runtime includes its MIT license. No general capability benchmark is claimed.

Verification

• npm ci
• npm run check
• npm test
• npm audit --omit=dev — 0 vulnerabilities
• Fresh-home Q4 installer verification using the exact pinned model and runtime assets
• Extracted llama.cpp runtime Q4 inference smoke test (HTTP 200)
• Agent-room coordination smoke test