loudink-v2 / MODEL_CARD.md
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release: loudink-v2 2.0.0-candidate shadow bundle
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LoudInk v2 shadow candidate

Status

This published bundle is a shadow candidate. It is not eligible for default rollout until gate_loudink_v2 passes on the private, decontaminated MLX workload suite.

Architecture

  • One 4-bit LFM2.5 1.2B base model, with separate writer and compact-IR LoRAs.
  • Deterministic versioned IR compiler for supported native apps, Google services, Maps, and generic search.
  • Confirmation is required for login-sensitive, destructive, send/submit, purchase, and unsupported workflows.

Evaluation reporting

The local release dashboard deliberately separates: direct neural output; model path including parser/repair; and end-to-end compiler-assisted success. Do not describe end-to-end compiler coverage as raw model accuracy.

Limits

This is not a screenshot-guided arbitrary-site agent. It supports service workflows plus generic search, and falls back to a clear confirmation for work outside that scope.