Bounded, inference-free analysis of official unquantized model weights. The first experiment is Qwen3.5-2B. Model weights are downloaded and analyzed on the authorized remote host, then deleted after archived results pass validation. No model weights are committed here.

Training-free functional reuse plan (proposed; not executed)
Primary-source literature and applicability
Procedure and limits
2B pilot findings and limitations
Raw result report, data and figures
pilot/download.py: revision-pinned official checkpoint download and verification.
pilot/tensors.py: memory-mapped safetensors/BF16 reader and metrics.
pilot/analyze.py: bounded tensor/block search, exact verification, representative groups.
pilot/plot.py: scientific PNG/PDF/SVG figures and report from saved data.
pilot/validate.py: result/group validation, checksums and guarded weight cleanup.
pilot/audit.py: finite-metric checks, test evidence and archive provenance.
pilot/run.py: one-model supervisor with bounded download wait and analysis timeouts.
tests/test_pilot.py: synthetic numerical and 3D correctness tests.

The primary result is verified net byte savings versus direct relative weight error. This does not demonstrate preserved task capability or faster inference. Different block scales are alternative partitions and their savings must not be summed.

Dependencies are pinned in requirements.txt; install only prebuilt wheels on the remote host. Full resolved versions and run provenance accompany each result. See the SOP for commands.