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.gitattributes

@@ -58,3 +58,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+quant_eval_throughput_telemetry.jsonl filter=lfs diff=lfs merge=lfs -text

CITATION.cff

@@ -0,0 +1,19 @@
+cff-version: 1.2.0
+message: If you use this dataset, please cite it.
+type: dataset
+title: >-
+  quant_eval Throughput telemetry
+authors:
+  - family-names: Hill
+    given-names: Patrick
+    affiliation: PBH Applied Systems, LLC
+license: CC-BY-4.0
+year: 2026
+doi: 10.5281/zenodo.22009987
+identifiers:
+  - type: doi
+    value: 10.5281/zenodo.22009987
+    description: Concept DOI, always resolves to the latest version
+  - type: doi
+    value: 10.5281/zenodo.22009988
+    description: Version DOI, frozen to this exact deposit

LICENSE

@@ -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 Throughput telemetry". PBH Applied Systems, LLC, 2026.
+  Licensed under CC BY 4.0.
+  DOI (all versions): 10.5281/zenodo.22009987
+  DOI (this version): 10.5281/zenodo.22009988
+
+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

@@ -1,3 +1,119 @@
 ---
 license: cc-by-4.0
+language:
+- en
+pretty_name: >-
+  quant_eval Throughput telemetry
+size_categories:
+- 10K<n<100K
+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_throughput_telemetry.jsonl
 ---
+
+# quant_eval — Throughput telemetry
+
+**One record per generation call across all published runs, pooled into a single union schema. Carries token counts, timing, and the token-count source per call.**
+
+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.22009987](https://doi.org/10.5281/zenodo.22009987) — concept DOI, always resolves to the latest version.
+**This exact deposit:** [10.5281/zenodo.22009988](https://doi.org/10.5281/zenodo.22009988) — 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_throughput_telemetry.jsonl` | 27,370 | 31 |
+
+Supporting files: `data_dictionary.json`, `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_throughput_telemetry.jsonl`
+
+```
+  attempt                                       call                                          call_id
+  case_id                                       cumulative_generated_tokens                   cumulative_generation_seconds
+  cumulative_prompt_tokens                      cumulative_tokens_per_second                  evaluation_contract_id
+  event                                         family                                        finish_reason
+  fixtures_sha256                               generated_tokens                              generation_seconds
+  max_new_tokens                                max_new_tokens_recorded                       model_id
+  prompt_tokens                                 quant_type                                    run_elapsed_seconds
+  run_id                                        runner                                        schema_version
+  scored                                        stage                                         timestamp_unix
+  token_count_source                            token_limit_reached                           tokens_per_second
+  version_tag
+```
+
+`data_dictionary.json`, included here, documents every field: applicability, data type, evidence role, gate membership, the meaning of an empty value, and observed population counts. **An empty cell is not automatically a missing measurement** — several fields are conditional on task family, and their empty-value meaning is recorded explicitly.
+
+## 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.
+- Aggregates published elsewhere in this corpus — the paired degradation statistics (D5) and family pass rates (D6) datasets — are recomputable from the per-case results dataset (D1) using the gate definitions in `data_dictionary.json`, included here.
+
+## 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.
+- **Calibration runs are not published.** Runs that informed a published run are disclosed by identifier in `calibration_lineage.csv`, published in the run provenance dataset (D4), so the record is complete without releasing provisional numbers.
+
+## Citation
+
+```bibtex
+@dataset{pbh_quant_eval_d2,
+  author    = {Hill, Patrick},
+  title     = {quant_eval Throughput telemetry},
+  publisher = {PBH Applied Systems, LLC},
+  year      = {2026},
+  doi       = {10.5281/zenodo.22009987},
+  note      = {Version DOI: 10.5281/zenodo.22009988},
+  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.

dataset-metadata.json

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+{
+  "title": "quant_eval Throughput telemetry",
+  "subtitle": "27,370 generation-call timing records across six paired precision comparisons",
+  "id": "pbhappliedsystems/quant_eval_throughput_telemetry",
+  "licenses": [
+    {
+      "name": "CC-BY-4.0"
+    }
+  ],
+  "description": "See README.md. Part of the quant_eval public corpus \u2014 10.5281/zenodo.22009987.",
+  "resources": []
+}

quant_eval_throughput_telemetry.jsonl

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+  "note": "Verbatim source-bundle digests. No bundle file was modified. Sanitization is by field selection during derivation."
+}