Datasets:

pbhappliedsystems
/

quant_eval_run_provenance

+cff-version: 1.2.0
+message: If you use this dataset, please cite it.
+type: dataset
+title: >-
+  quant_eval Run provenance
+authors:
+  - family-names: Hill
+    given-names: Patrick
+    affiliation: PBH Applied Systems, LLC
+license: CC-BY-4.0
+year: 2026
+doi: 10.5281/zenodo.22010462
+identifiers:
+  - type: doi
+    value: 10.5281/zenodo.22010462
+    description: Concept DOI, always resolves to the latest version
+  - type: doi
+    value: 10.5281/zenodo.22010463
+    description: Version DOI, frozen to this exact deposit

LICENSE ADDED Viewed

	@@ -0,0 +1,35 @@

+quant_eval Public Corpus
+Copyright (c) 2026 PBH Applied Systems, LLC
+This work is licensed under the Creative Commons Attribution 4.0 International
+License (CC BY 4.0).
+SPDX-License-Identifier: CC-BY-4.0
+You are free to:
+  - Share:  copy and redistribute the material in any medium or format
+  - Adapt:  remix, transform, and build upon the material
+for any purpose, including commercially.
+Under the following term:
+  - Attribution: You must give appropriate credit, provide a link to the
+    licence, and indicate if changes were made. You may do so in any reasonable
+    manner, but not in any way that suggests the licensor endorses you or your
+    use.
+No additional restrictions: you may not apply legal terms or technological
+measures that legally restrict others from doing anything the licence permits.
+The full legal code is available at:
+  https://creativecommons.org/licenses/by/4.0/legalcode
+SUGGESTED ATTRIBUTION
+  Hill, Patrick. "quant_eval Run provenance". PBH Applied Systems, LLC, 2026.
+  Licensed under CC BY 4.0.
+  DOI (all versions): 10.5281/zenodo.22010462
+  DOI (this version): 10.5281/zenodo.22010463
+NOTE ON THE EVALUATED MODELS
+  This corpus describes the behaviour of third-party language models. It does
+  not redistribute model weights. Each evaluated model remains under its own
+  licence, recorded per run in the run provenance dataset.

README.md CHANGED Viewed

@@ -1,3 +1,129 @@
 ---
 license: cc-by-4.0
 ---

 ---
 license: cc-by-4.0
+language:
+- en
+pretty_name: >-
+  quant_eval Run provenance
+size_categories:
+- n<1K
+tags:
+- quantization
+- large-language-models
+- gguf
+- agent-evaluation
+- tool-calling
+- behavioral-evaluation
+- mcnemar
+- llama-cpp
+- model-evaluation
+- reproducibility
+annotations_creators:
+- machine-generated
+source_datasets:
+- original
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: quant_eval_run_provenance.csv
 ---
+# quant_eval — Run provenance
+**One row per published run: model identity, contract identifiers, fixture hash, decoding conditions, licence, and the SHA-256 and byte size of both weight artifacts. Accompanied by the calibration lineage that informed each published run.**
+Part of the quant_eval public corpus: a per-case behavioral evaluation of full-weight and quantized large language models across eight agent-relevant task families, with paired statistical testing.
+**Cite this dataset:** [10.5281/zenodo.22010462](https://doi.org/10.5281/zenodo.22010462) — concept DOI, always resolves to the latest version.
+**This exact deposit:** [10.5281/zenodo.22010463](https://doi.org/10.5281/zenodo.22010463) — version DOI, frozen. Cite this one where reported numbers must stay verifiable against the object referenced.
+## What this file contains
+| File | Rows | Columns |
+|---|---:|---:|
+| `quant_eval_run_provenance.csv` | 6 | 41 |
+| `calibration_lineage.csv` | 14 | 4 |
+Supporting files: `source_bundle_checksums.json`.
+## Corpus scope
+| Run | Model | Baseline | Quantized | Substrate | Licence |
+|---|---|---|---|---|---|
+| `Mistral_Nemo_Instruct_2407_20260814_030505` | mistralai/Mistral-Nemo-Instruct-2407 | gguf_f16 | gguf_q4_k_m | local | Apache-2.0 |
+| `Mistral_Nemo_Instruct_2407_20260815_113254` | mistralai/Mistral-Nemo-Instruct-2407 | gguf_f16 | gguf_q5_k_m | local | Apache-2.0 |
+| `Mistral_Nemo_Instruct_2407_20260816_084553` | mistralai/Mistral-Nemo-Instruct-2407 | gguf_f16 | gguf_q8_0 | local | Apache-2.0 |
+| `Qwen2.5_14B_Instruct_1M_20260815_220633` | Qwen/Qwen2.5-14B-Instruct-1M | modal_f16 | modal_q4_k_m | Modal | Apache-2.0 |
+| `Qwen2.5_32B_Instruct_20260815_081051` | Qwen/Qwen2.5-32B-Instruct | modal_f16 | modal_q4_k_m | Modal | Apache-2.0 |
+| `Qwen2.5_7B_Instruct_20260814_234822` | Qwen/Qwen2.5-7B-Instruct | gguf_f16 | gguf_q4_k_m | local | Apache-2.0 |
+Every run evaluates a full-weight baseline and a quantized variant of the same model against the identical locked fixture set, case for case. Statistical comparison is paired: the two-sided exact McNemar test on per-case outcomes, with Wilson intervals on the rates.
+## Columns
+### `quant_eval_run_provenance.csv`
+```
+  run_id                                        model_id                                      canonical_upstream_model_id
+  adapter_id                                    adapter_reason                                version_tag
+  evaluation_contract_id                        scoring_contract                              prompt_contract
+  fixture_construction_contract                 fixtures_sha256                               fixture_version_label
+  fixture_split                                 profile                                       run_purpose
+  promotion_status                              publication_status                            release_validation_status
+  seed                                          fixture_generation_seed                       timestamp
+  baseline_quant_type                           quantized_quant_type                          baseline_runner
+  quantized_runner                              execution_substrate                           decode_temperature
+  decode_seed_status                            decode_context_size                           decode_top_p
+  decode_top_k                                  license                                       spdx_license_id
+  commercial_use_status                         baseline_artifact_sha256                      baseline_artifact_bytes
+  quantized_artifact_sha256                     quantized_artifact_bytes                      upstream_revision
+  upstream_revision_status                      rows
+```
+### `calibration_lineage.csv`
+```
+  published_run_id                              calibration_run_id                            role
+  published
+```
+## Verification
+This corpus is derived from sanitized publication bundles produced by the quant_eval harness. It is designed to be checked rather than trusted:
+- `source_bundle_checksums.json`, included here, republishes, verbatim, the SHA-256 digest and byte length of every file in every source bundle. No source file was modified.
+- Before this file was written, the builder verified all 72 source-file digests and independently recomputed all 96 family x runner pass rates from the raw per-case rows, matching the harness rollups exactly.
+- The fields here are run-level metadata carried through from the source bundles unchanged, not statistics derived from per-case rows. They are traceable through the bundle digests above. Recomputable aggregates live in the paired degradation statistics (D5) and family pass rates (D6) datasets, both derived from the per-case results dataset (D1).
+## Limits you should know before using this
+- **Decoding conditions are not uniform across models.** Temperature follows each publisher's own model card, so cross-model comparison of absolute pass rates is confounded. Within-run pairing is unaffected, which is what the paired test requires. The conditions are published per row and per run so they can be filtered on.
+- **Runs on the Modal substrate record `seed` status `unsupported`** — the deployed method signature accepts no seed — so those runs are not exactly reproducible. Local runs applied a fixed seed.
+- **Runtime figures are observed harness wall time** on the recorded hardware and backends. They are not a controlled throughput benchmark and not a general claim about quantization performance at any precision on any hardware. Direction is published as an explicit label because not every measured pair is a speedup.
+- **The fuzz family is an adaptive trajectory** evaluated from identical starting fixtures. Its paired test compares complete case outcomes, not identical post-divergence prompts.
+- **`upstream_revision` is empty for 2 of 6 runs** (`Qwen2.5_14B_Instruct_1M_20260815_220633`, `Qwen2.5_7B_Instruct_20260814_234822`). Where present, it is the exact upstream repository revision the evaluated weights were converted from. Where empty, `upstream_revision_status` records why — in this corpus, `unavailable_for_pre_provenance_legacy_artifact`. This is a documented absence, not a dropped measurement: weight identity for those runs is still established exactly, by the artifact SHA-256 recorded in this file, but not tied to a named upstream commit.
+- **Calibration runs are not published.** Runs that informed a published run are disclosed by identifier in `calibration_lineage.csv`, included here, so the record is complete without releasing provisional numbers.
+## Citation
+```bibtex
+@dataset{pbh_quant_eval_d4,
+  author    = {Hill, Patrick},
+  title     = {quant_eval Run provenance},
+  publisher = {PBH Applied Systems, LLC},
+  year      = {2026},
+  doi       = {10.5281/zenodo.22010462},
+  note      = {Version DOI: 10.5281/zenodo.22010463},
+  license   = {CC-BY-4.0}
+}
+```
+## Licence
+Creative Commons Attribution 4.0 International (CC BY 4.0). See `LICENSE`. Commercial use is permitted; attribution is required.
+This corpus describes third-party models and redistributes no model weights. Each evaluated model remains under its own licence, recorded per run in the run provenance dataset.
+---
+Produced by build_datasets.py 2.4.0 from quant_eval publication bundles. Built 2026-08-19.

calibration_lineage.csv ADDED Viewed

	@@ -0,0 +1,15 @@

+published_run_id,calibration_run_id,role,published
+Mistral_Nemo_Instruct_2407_20260814_030505,Mistral_Nemo_Instruct_2407_20260801_045455,internal_calibration_evidence,false
+Mistral_Nemo_Instruct_2407_20260814_030505,Mistral_Nemo_Instruct_2407_20260806_010333,internal_calibration_evidence,false
+Mistral_Nemo_Instruct_2407_20260814_030505,Mistral_Nemo_Instruct_2407_20260806_031656,internal_calibration_evidence,false
+Mistral_Nemo_Instruct_2407_20260814_030505,Mistral_Nemo_Instruct_2407_20260806_040832,internal_calibration_evidence,false
+Mistral_Nemo_Instruct_2407_20260814_030505,Mistral_Nemo_Instruct_2407_20260806_075304,internal_calibration_evidence,false
+Mistral_Nemo_Instruct_2407_20260815_113254,Mistral_Nemo_Instruct_2407_20260816_002017,internal_calibration_evidence,false
+Mistral_Nemo_Instruct_2407_20260816_084553,Mistral_Nemo_Instruct_2407_20260816_080505,internal_calibration_evidence,false
+Qwen2.5_14B_Instruct_1M_20260815_220633,Qwen2.5_14B_Instruct_1M_20260808_233748,internal_calibration_evidence,false
+Qwen2.5_14B_Instruct_1M_20260815_220633,Qwen2.5_14B_Instruct_1M_20260809_003830,internal_calibration_evidence,false
+Qwen2.5_32B_Instruct_20260815_081051,Qwen2.5_32B_Instruct_20260810_011511,internal_calibration_evidence,false
+Qwen2.5_32B_Instruct_20260815_081051,Qwen2.5_32B_Instruct_20260810_030336,internal_calibration_evidence,false
+Qwen2.5_7B_Instruct_20260814_234822,Qwen2.5_7B_Instruct_20260809_160647,internal_calibration_evidence,false
+Qwen2.5_7B_Instruct_20260814_234822,Qwen2.5_7B_Instruct_20260809_163943,internal_calibration_evidence,false
+Qwen2.5_7B_Instruct_20260814_234822,Qwen2.5_7B_Instruct_20260809_165049,internal_calibration_evidence,false

dataset-metadata.json ADDED Viewed

	@@ -0,0 +1,12 @@

+{
+  "title": "quant_eval Run provenance",
+  "subtitle": "Run provenance for six paired full-weight vs quantized model evaluations",
+  "id": "pbhappliedsystems/quant_eval_run_provenance",
+  "licenses": [
+    {
+      "name": "CC-BY-4.0"
+    }
+  ],
+  "description": "See README.md. Part of the quant_eval public corpus \u2014 10.5281/zenodo.22010462.",
+  "resources": []
+}

quant_eval_run_provenance.csv ADDED Viewed

	@@ -0,0 +1,7 @@

+run_id,model_id,canonical_upstream_model_id,adapter_id,adapter_reason,version_tag,evaluation_contract_id,scoring_contract,prompt_contract,fixture_construction_contract,fixtures_sha256,fixture_version_label,fixture_split,profile,run_purpose,promotion_status,publication_status,release_validation_status,seed,fixture_generation_seed,timestamp,baseline_quant_type,quantized_quant_type,baseline_runner,quantized_runner,execution_substrate,decode_temperature,decode_seed_status,decode_context_size,decode_top_p,decode_top_k,license,spdx_license_id,commercial_use_status,baseline_artifact_sha256,baseline_artifact_bytes,quantized_artifact_sha256,quantized_artifact_bytes,upstream_revision,upstream_revision_status,rows
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+Qwen2.5_14B_Instruct_1M_20260815_220633,Qwen/Qwen2.5-14B-Instruct-1M,Qwen/Qwen2.5-14B-Instruct-1M,qwen2_5_14b_instruct_1m,prepared Modal model mapping,v7.22.22,canonical_agentic_contract_v7.22.18:evaluation,v7.22.22,canonical_template_v3,canonical_template_v3,0673b5e5c0fb1b7ba4bdc8c9aa985104260db183453c5708aff14c87823edb97,v7.22.22,evaluation,locked_publication,publication,published_bundle,eligible,passed,42,100042,20260815_220633,modal_f16,modal_q4_k_m,full_weight_modal_llama_cpp,quantized_modal_llama_cpp,modal_llama_cpp,0.7,unsupported,8192,0.95,40,Apache-2.0,Apache-2.0,permitted_by_recorded_license,de08ea9c41234ef83b7aacf07f9ebc3cbaa20ca8aeb5f6417758a8798660aaa9,29547716384,5ad529ff2b1b192f31c8a638fe8756a0c628904e2ded797c11f9194216976973,8988110624,,unavailable_for_pre_provenance_legacy_artifact,3200
+Qwen2.5_32B_Instruct_20260815_081051,Qwen/Qwen2.5-32B-Instruct,Qwen/Qwen2.5-32B-Instruct,qwen2_5_32b_instruct,prepared Modal model mapping,v7.22.22,canonical_agentic_contract_v7.22.18:evaluation,v7.22.22,canonical_template_v3,canonical_template_v3,0673b5e5c0fb1b7ba4bdc8c9aa985104260db183453c5708aff14c87823edb97,v7.22.22,evaluation,locked_publication,publication,published_bundle,eligible,passed,42,100042,20260815_081051,modal_f16,modal_q4_k_m,full_weight_modal_llama_cpp,quantized_modal_llama_cpp,modal_llama_cpp,0.7,unsupported,8192,0.95,40,Apache-2.0,Apache-2.0,permitted_by_recorded_license,02e264f0273624b39b0650f8c0583c6d04c320c777780ca5be839999912adf3c,65535969920,6f810a332a884410aa65cc1b5a128a8603f083b36465acfbbf67a08f50a4d3e3,19851336320,5ede1c97bbab6ce5cda5812749b4c0bdf79b18dd,exact,3200
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+  "note": "Verbatim source-bundle digests. No bundle file was modified. Sanitization is by field selection during derivation."
+}