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REPRODUCIBILITY

Artifacts that can be inspected—and gaps that cannot be replayed.

Release integrity is public for the two pilot GGUF files. Full training reproducibility remains partial because final manifests, logs, environments and raw evaluations are missing.

PUBLIC F16 GGUF

Published

quantum-1-pilot

File
quantum-1-base-v1.0.0-f16.gguf
Size
98,990,560 bytes
SHA-256
aeab97e50a5789772b69cf1554ba74eb915b5621835d80d40785b473b62fd1a5

PUBLIC F16 GGUF

Published

quantum-1.6-pilot

File
quantum-1.6-pilot-v1.6.0-f16.gguf
Size
98,990,560 bytes
SHA-256
6bda15fcd51286e55174d5876fe44aa9518fb18b75fb5aa4f7402ebd039bd994

LLAMA.CPP REFERENCE

llama-cli -m quantum-1.6-pilot-v1.6.0-f16.gguf -p "Berlin ist" -n 64 --seed 20260705 --temp 0 --top-p 1 --top-k 0 --no-cnv

This command mirrors the pinned diagnosis configuration. The website test suite does not execute model inference. A local llama.cpp build is required, and the exact external llama.cpp revision cannot be initialized from the reviewed repository because its Git link has no .gitmodules entry.

VERIFICATION WORKFLOW

A repeatable local record.

  1. 01

    Download the GGUF from the pinned Hugging Face repository revision.

  2. 02

    Compare the downloaded file against the published SHA-256 value.

  3. 03

    Use completion mode rather than assuming a chat template.

  4. 04

    Record the llama.cpp revision, hardware and full command before comparing output.

  5. 05

    Preserve raw output alongside the prompt, seed and decoding settings.

Reproducibility status, available evidence and missing artifacts
AreaStatusAvailableStill missing
Pilot GGUF integrityPublishedPinned files, manifests, sizes and SHA-256 checksums.Artifact licenses remain unstated.
Pilot training methodPartial evidenceCode, documentation and YAML configurations.Final run manifests, exact environments, completed-step records and complete logs.
Pilot evaluationPartial evidenceReported held-out metrics, fixed prompt data and a diagnosis method.Versioned raw outputs, independently replayable metrics and standardized task reports.
Echelon tokenizerPublishedConfiguration, checksums, quality summary and 23-case round-trip report.No model-quality conclusion follows from tokenizer validation.
Echelon production and trainingNot yet availableProduction configuration and pipeline smoke evidence.Production manifest, checkpoints, weights, outputs and evaluation.
Resource measurementsNot measuredNo committed measurement report.Hardware, runtime, memory, throughput, cost and energy measurements.