QFS test fixtures and reproducible captures
Collection
Tiny random models, quantized format fixtures and verified CPU captures for QFS. Pipeline tests, not assistants or quality benchmarks. • 64 items • Updated
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[
"pre-seal"
] | 0 | [] | 1 | fe4c42219170a4e3a3186bef24146d028c013b9dbdeb7614ca645f0a41c5111f | malaiwah.fidelity-structural-validation.v1 | sealed | dataset:fidelity--glm-moe-dsa-tiny.malaiwah.quant-format-fp8-block32 | 0 | [] |
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] | 0 | [] | 1 | 3dcf571ada4e913b80f86da1965de307f19808b167d55691bfc7b5bb7ba25d0e | malaiwah.fidelity-structural-validation.v1 | sealed | dataset:fidelity--glm-moe-dsa-tiny.malaiwah.quant-format-q4_0 | 0 | [] |
[
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] | 0 | [] | 1 | 417b574ea73252af2e6a8492c108535056771794b0f89d4d2acce1cc2ebd4451 | malaiwah.fidelity-structural-validation.v1 | sealed | dataset:fidelity--glm-moe-dsa-tiny.malaiwah.quant-format-q8_0 | 0 | [] |
[
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] | 0 | [] | 1 | a825248ce96732e296fc60af528fdac7f49505dedc9b2e4b51b5771a98171d4c | malaiwah.fidelity-structural-validation.v1 | sealed | dataset:fidelity--glm-moe-dsa-tiny.malaiwah.quant-format-reference | 0 | [] |
[
"pre-seal"
] | 0 | [] | 1 | fe4c42219170a4e3a3186bef24146d028c013b9dbdeb7614ca645f0a41c5111f | malaiwah.fidelity-structural-validation.v1 | sealed | dataset:fidelity--glm-moe-dsa-tiny.malaiwah.quant-format-fp8-block32 | 0 | [] |
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[
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existing tiny CPU format fixture reproducibility
Complete tiny random FORMAT fixture evidence. Round-to-nearest (RTN) storage/reader exercise only; optimizer-not-run. No GPTQ/AWQ/AutoRound optimization, calibrated ModelOpt/CT/QAT quality, trained-model quality ranking, GPU parity, or native serving-kernel correctness claim.
Reconstructed weights are evaluated by the captured native forward. KL is own-head, full-vocabulary on the recorded panel, not a benchmark of training quality. Advisory reconstruction and activation omissions are retained verbatim in the raw evidence.
This is a dataset evidence bundle, not a multi-model model repository. Each consumer model has its own repository:
- https://huggingface.co/malaiwah/glm-moe-dsa-tiny-random-q8_0-rtn-format
- https://huggingface.co/malaiwah/glm-moe-dsa-tiny-random-q4_0-rtn-format
- https://huggingface.co/malaiwah/glm-moe-dsa-tiny-random-fp8-block32-rtn-format
Raw model/source trees, original cards/licenses, captures, reports and retained scripts are preserved under raw/. qualification.json records checked results, source-inventory.json records every original source byte, and publication-plan.json records the exact commands and provenance. Each upstream source retains its own license; the dataset license does not relicense bundled code or checkpoints.
Reproduction commands and source hashes
Commands below are recorded argv, not executed by this publisher. Restore each recorded input from the dataset raw trees and map original absolute paths to your workspace. Retained tools/dependency files and byte hashes are in source-inventory.json; do not substitute moving upstream branches.
[
{
"cwd": "/tmp/qfs-explorer-development",
"argv": [
"/tmp/qfs-quant-venv/bin/python",
"-B",
"/tmp/qfs-quant-existing-release/stage_existing.py",
"--qfs-root",
"/tmp/qfs-explorer-development",
"--out",
"/tmp/qfs-quant-existing-release/stage-main"
]
},
{
"cwd": "/tmp/qfs-explorer-development",
"argv": [
"/tmp/qfs-quant-venv/bin/python",
"-B",
"/tmp/qfs-quant-existing-release/probe_existing.py",
"--qfs-root",
"/tmp/qfs-explorer-development",
"--stage",
"/tmp/qfs-quant-existing-release/stage-main"
]
},
{
"cwd": "/tmp/qfs-explorer-development",
"argv": [
"/tmp/qfs-quant-venv/bin/python",
"-B",
"/tmp/qfs-quant-existing-release/compare_existing.py",
"--qfs-root",
"/tmp/qfs-explorer-development",
"--stage",
"/tmp/qfs-quant-existing-release/stage-main",
"--panel",
"/tmp/qfs-complete-tiny-fixture/panel",
"--out",
"/tmp/qfs-quant-existing-release/proof-final"
]
}
]
The publication receipt is written locally only after anonymous verification of complete remote bytes at exact commits. Publication is not additional model or serving qualification.
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