30 lines
1.9 KiB
Markdown
30 lines
1.9 KiB
Markdown
# Model parameter similarity experiments
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Bounded, inference-free analysis of official unquantized model weights. The first experiment
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is **Qwen3.5-2B**. Model weights are downloaded and analyzed on the authorized remote host,
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then deleted after archived results pass validation for the completed static pilot.
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The current CPU functional checkpoint is retained until the user explicitly requests deletion.
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No model weights are committed here.
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- [CPU-first feasibility and validation](docs/CPU_FIRST_VALIDATION.md)
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- [Training-free functional reuse plan (proposed; not executed)](docs/TRAINING_FREE_FUNCTIONAL_PLAN.md)
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- [Primary-source literature and applicability](docs/FUNCTIONAL_REUSE_LITERATURE.md)
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- [Procedure and limits](docs/SOP.md)
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- [2B pilot findings and limitations](docs/PILOT_FINDINGS.md)
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- [Raw result report, data and figures](results/qwen35-2b/REPORT.md)
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- `pilot/download.py`: revision-pinned official checkpoint download and verification.
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- `pilot/tensors.py`: memory-mapped safetensors/BF16 reader and metrics.
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- `pilot/analyze.py`: bounded tensor/block search, exact verification, representative groups.
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- `pilot/plot.py`: scientific PNG/PDF/SVG figures and report from saved data.
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- `pilot/validate.py`: result/group validation, checksums and guarded weight cleanup.
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- `pilot/audit.py`: finite-metric checks, test evidence and archive provenance.
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- `pilot/run.py`: one-model supervisor with bounded download wait and analysis timeouts.
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- `tests/test_pilot.py`: synthetic numerical and 3D correctness tests.
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The primary result is **verified net byte savings versus direct relative weight error**.
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This does not demonstrate preserved task capability or faster inference. Different block
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scales are alternative partitions and their savings must not be summed.
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Dependencies are pinned in `requirements.txt`; install only prebuilt wheels on the remote host.
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Full resolved versions and run provenance accompany each result. See the SOP for commands.
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