Upload 7 files

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 Efficiency and footprint
+authors:
+  - family-names: Hill
+    given-names: Patrick
+    affiliation: PBH Applied Systems, LLC
+license: CC-BY-4.0
+year: 2026
+doi: 10.5281/zenodo.22010723
+identifiers:
+  - type: doi
+    value: 10.5281/zenodo.22010723
+    description: Concept DOI, always resolves to the latest version
+  - type: doi
+    value: 10.5281/zenodo.22010724
+    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 Efficiency and footprint". PBH Applied Systems, LLC, 2026.
+  Licensed under CC BY 4.0.
+  DOI (all versions): 10.5281/zenodo.22010723
+  DOI (this version): 10.5281/zenodo.22010724
+
+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 +1,122 @@
 ---
 license: cc-by-4.0
+language:
+- en
+pretty_name: >-
+  quant_eval Efficiency and footprint
+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_efficiency_and_footprint.csv
 ---
+
+# quant_eval — Efficiency and footprint
+
+**One row per published run: stored weight artifact bytes before and after quantization, compression ratio, observed evaluation wall-time ratio with an explicit direction label, and token throughput.**
+
+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.22010723](https://doi.org/10.5281/zenodo.22010723) — concept DOI, always resolves to the latest version.
+**This exact deposit:** [10.5281/zenodo.22010724](https://doi.org/10.5281/zenodo.22010724) — 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_efficiency_and_footprint.csv` | 6 | 22 |
+
+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.
+
+## Figures
+
+![Horizontal bar chart of observed evaluation wall-time ratios for six model-precision pairs. Four local llama.cpp pairs exceed parity at 2.704, 2.564, 1.985, and 1.714 times; two Modal pairs fall below parity at 0.961 and 0.854 times, shown hatched.](fig4_wall_time_ratio_six_pairs.png)
+
+**Observed evaluation wall-time ratio (full weight divided by quantized)** for all six published pairs. Hatched bars fall below parity — the quantized run was slower. Observed harness wall time on the recorded hardware and backends; not a controlled throughput benchmark and not a general claim about quantization performance at any precision on any hardware.
+
+Figures are generated directly from the harness rollups by the published build tooling; no plotted value is recomputed, smoothed, or fitted.
+
+## Columns
+
+### `quant_eval_efficiency_and_footprint.csv`
+
+```
+  run_id                                        model_id                                      baseline_kind
+  quant_type                                    baseline_bytes                                quantized_bytes
+  compression_ratio                             size_reduction_fraction                       measurement_scope
+  excludes                                      baseline_runner                               quantized_runner
+  execution_substrate                           baseline_tokens_per_second                    quantized_tokens_per_second
+  observed_wall_time_ratio                      wall_time_direction                           throughput_ratio
+  token_volume_cost_proxy_ratio                 monetary_cost_ratio_status                    artifact_footprint_status
+  hardware_backend_scope
+```
+
+## 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 figures here are **not** derived from the per-case results dataset. Stored-artifact byte counts and observed wall time are recorded by the harness at run time and are carried through from the source bundles unchanged; they are traceable through the bundle digests above, not recomputable from per-case rows. Pass-rate aggregates, which are recomputable, live in the paired degradation statistics (D5) and family pass rates (D6) datasets.
+
+## 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_d7,
+  author    = {Hill, Patrick},
+  title     = {quant_eval Efficiency and footprint},
+  publisher = {PBH Applied Systems, LLC},
+  year      = {2026},
+  doi       = {10.5281/zenodo.22010723},
+  note      = {Version DOI: 10.5281/zenodo.22010724},
+  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

@@ -0,0 +1,12 @@
+{
+  "title": "quant_eval Efficiency and footprint",
+  "subtitle": "Compression ratios and measured wall-time ratios for six quantized model pairs",
+  "id": "pbhappliedsystems/quant_eval_efficiency_and_footprint",
+  "licenses": [
+    {
+      "name": "CC-BY-4.0"
+    }
+  ],
+  "description": "See README.md. Part of the quant_eval public corpus \u2014 10.5281/zenodo.22010723.",
+  "resources": []
+}

quant_eval_efficiency_and_footprint.csv

@@ -0,0 +1,7 @@
+run_id,model_id,baseline_kind,quant_type,baseline_bytes,quantized_bytes,compression_ratio,size_reduction_fraction,measurement_scope,excludes,baseline_runner,quantized_runner,execution_substrate,baseline_tokens_per_second,quantized_tokens_per_second,observed_wall_time_ratio,wall_time_direction,throughput_ratio,token_volume_cost_proxy_ratio,monetary_cost_ratio_status,artifact_footprint_status,hardware_backend_scope
+Mistral_Nemo_Instruct_2407_20260814_030505,mistralai/Mistral-Nemo-Instruct-2407,gguf_f16,gguf_q4_k_m,24504279808,7477207744,3.277196601587428,0.6948611506811602,stored_model_weight_artifact_bytes,modal_container_storage;runtime_vram,full_weight_llama_cpp,quantized_llama_cpp,local_llama_cpp,25.043651118780318,91.02962261885648,2.7038164707866055,speedup,3.634838314393905,,suppressed_missing_per_runner_cost_usd,computed,observed evaluation run on the recorded hardware and backends
+Mistral_Nemo_Instruct_2407_20260815_113254,mistralai/Mistral-Nemo-Instruct-2407,gguf_f16,gguf_q5_k_m,24504279808,8727634688,2.8076656143378673,0.643832230272254,stored_model_weight_artifact_bytes,modal_container_storage;runtime_vram,full_weight_llama_cpp,quantized_llama_cpp,local_llama_cpp,30.135280786823675,79.96792404664095,2.564462769097187,speedup,2.653631290590332,,suppressed_missing_per_runner_cost_usd,computed,observed evaluation run on the recorded hardware and backends
+Mistral_Nemo_Instruct_2407_20260816_084553,mistralai/Mistral-Nemo-Instruct-2407,gguf_f16,gguf_q8_0,24504279808,13022372608,1.8817062409154497,0.4685674212817086,stored_model_weight_artifact_bytes,modal_container_storage;runtime_vram,full_weight_llama_cpp,quantized_llama_cpp,local_llama_cpp,33.11406810059508,58.860127886525646,1.7144120311211424,speedup,1.7774961296726903,,suppressed_missing_per_runner_cost_usd,computed,observed evaluation run on the recorded hardware and backends
+Qwen2.5_14B_Instruct_1M_20260815_220633,Qwen/Qwen2.5-14B-Instruct-1M,modal_f16,modal_q4_k_m,29547716384,8988110624,3.287422420581013,0.6958103121340695,stored_model_weight_artifact_bytes,modal_container_storage;runtime_vram,full_weight_modal_llama_cpp,quantized_modal_llama_cpp,modal_llama_cpp,33.06065710210004,31.686447557979236,0.9614674486693676,slowdown,0.9584336893281679,,suppressed_missing_per_runner_cost_usd,computed,observed evaluation run on the recorded hardware and backends
+Qwen2.5_32B_Instruct_20260815_081051,Qwen/Qwen2.5-32B-Instruct,modal_f16,modal_q4_k_m,65535969920,19851336320,3.3013379484167644,0.6970925074545689,stored_model_weight_artifact_bytes,modal_container_storage;runtime_vram,full_weight_modal_llama_cpp,quantized_modal_llama_cpp,modal_llama_cpp,18.72691437776273,16.307569717720078,0.8535462010847542,slowdown,0.8708092208230791,,suppressed_missing_per_runner_cost_usd,computed,observed evaluation run on the recorded hardware and backends
+Qwen2.5_7B_Instruct_20260814_234822,Qwen/Qwen2.5-7B-Instruct,gguf_f16,gguf_q4_k_m,15237853632,4683073984,3.2538144142204524,0.6926683969345008,stored_model_weight_artifact_bytes,modal_container_storage;runtime_vram,full_weight_llama_cpp,quantized_llama_cpp,local_llama_cpp,55.4357001720401,119.12481984641852,1.984891682956756,speedup,2.1488827502263796,,suppressed_missing_per_runner_cost_usd,computed,observed evaluation run on the recorded hardware and backends

source_bundle_checksums.json

@@ -0,0 +1,330 @@
+{
+  "algorithm": "sha256",
+  "bundles": {
+    "Mistral_Nemo_Instruct_2407_20260814_030505": {
+      "algorithm": "sha256",
+      "files": {
+        "README.md": {
+          "bytes": 2150,
+          "digest": "bfe5f8b7e1a4eb15fb113e52ec46b2adfcd48586c8263de0413d9cdfa3dc804d"
+        },
+        "catalog_recommendation.json": {
+          "bytes": 7673,
+          "digest": "cbeee1e99faccb743d7e6e5c55cacce75389e24c5b7eb2d0461286c20e69fe6b"
+        },
+        "comparison_results.csv": {
+          "bytes": 4152703,
+          "digest": "67790d5e926bcce8ea2d686a96fb2a88ac9f2d21a74faab0801426db4b263e25"
+        },
+        "data_dictionary.json": {
+          "bytes": 113342,
+          "digest": "f9ef0b16afd66f512b0402499a2a99c0c9d1881c5a6cf01bc117903fa27cb6a9"
+        },
+        "fuzz_prompt_contract_v2.json": {
+          "bytes": 2562,
+          "digest": "8d33e0debb6bd5f4acdde0fdb49898ed3d59cbcfdd1585998884aa6bc674d115"
+        },
+        "golden_oracle_fixtures.json": {
+          "bytes": 2733585,
+          "digest": "ae7d7fa90a2ef8d4e673108886599248dff52c83829ac79b51e332d01421a23f"
+        },
+        "model_card.md": {
+          "bytes": 33871,
+          "digest": "eed30b26bd8ab7ed74282550d2a374b3f86fc0a2233acaddd2590d8dc6e4aff8"
+        },
+        "prompt_contract.json": {
+          "bytes": 1201,
+          "digest": "93ab8d18b8638e639d44e82f24b9a52cdda051f25202ae7fc695ecc834b3d1f5"
+        },
+        "rollup.json": {
+          "bytes": 167724,
+          "digest": "cfcc57beaadf7c91c7e089c77148bffc6e1fbc6ea55bb369e9ab417aa46659a3"
+        },
+        "run_manifest.json": {
+          "bytes": 43414,
+          "digest": "f8fe3f4eae5b3189f4781f4faf40757276157d193c7afb4c755e089b0b146551"
+        },
+        "summary.md": {
+          "bytes": 25964,
+          "digest": "f3e13f13dd2ea62bcacc2227170740c2de95377083f22b116d0cb08f826299d9"
+        },
+        "throughput_telemetry.jsonl": {
+          "bytes": 4616300,
+          "digest": "a3751d8c726e6eb96813cad03b0ac2f5b956a3b829243edaff69a55586d06dab"
+        }
+      },
+      "schema_version": 1
+    },
+    "Mistral_Nemo_Instruct_2407_20260815_113254": {
+      "algorithm": "sha256",
+      "files": {
+        "README.md": {
+          "bytes": 2219,
+          "digest": "8b54c407e2f0f57e2191a611d911a57c91f008861a93204fb5402449dad12826"
+        },
+        "catalog_recommendation.json": {
+          "bytes": 8018,
+          "digest": "bce6a2148a6ee735500bb32290a1ea83cfe57028d5d062642e2a5acd7bd6888a"
+        },
+        "comparison_results.csv": {
+          "bytes": 4077659,
+          "digest": "e73595593c9964cd275c4a08a3a76e531ff89dc5c07ca5b4459b4f81f7e1e157"
+        },
+        "data_dictionary.json": {
+          "bytes": 113936,
+          "digest": "0aeae6ff39f6de23bf0e39c71b57390b1a744d32e4b9c7d99f89b128d8fc0d24"
+        },
+        "fuzz_prompt_contract_v2.json": {
+          "bytes": 2562,
+          "digest": "8d33e0debb6bd5f4acdde0fdb49898ed3d59cbcfdd1585998884aa6bc674d115"
+        },
+        "golden_oracle_fixtures.json": {
+          "bytes": 2733585,
+          "digest": "0673b5e5c0fb1b7ba4bdc8c9aa985104260db183453c5708aff14c87823edb97"
+        },
+        "model_card.md": {
+          "bytes": 27948,
+          "digest": "a3ca5753009de33b3da3d03d21d11261ca6d6d991acec040918a867592e37602"
+        },
+        "prompt_contract.json": {
+          "bytes": 1201,
+          "digest": "6c27b0082c69a3835a6da271a83b85a51833359205ec525e717afed14200b6eb"
+        },
+        "rollup.json": {
+          "bytes": 173426,
+          "digest": "7bc73a87594828e3704b658f5fcd3bce771c2f550147efd95ea0f422f70c39ad"
+        },
+        "run_manifest.json": {
+          "bytes": 43947,
+          "digest": "59e34c48ce40e250a4e552861672249600eb3fc45f744f349c45fdcaffc4e610"
+        },
+        "summary.md": {
+          "bytes": 26263,
+          "digest": "47df582b5beef742660603a6dc5d10712c8bf46bcb0d44f7e37290b3044f0a2e"
+        },
+        "throughput_telemetry.jsonl": {
+          "bytes": 4711031,
+          "digest": "3192c2dd4b8599705a0516596181cc5c3c44dba2d9b9a06966ee58bf23d250ec"
+        }
+      },
+      "schema_version": 1
+    },
+    "Mistral_Nemo_Instruct_2407_20260816_084553": {
+      "algorithm": "sha256",
+      "files": {
+        "README.md": {
+          "bytes": 2219,
+          "digest": "5cea5760617aa300f87979d18d36f7c8b9ad4e2a524c53aa52aa2f44cb31025a"
+        },
+        "catalog_recommendation.json": {
+          "bytes": 8026,
+          "digest": "ba46a89c460fdd03272ff473b9cd1e480e86e7a977c6b11c31c5b512e84f4aaa"
+        },
+        "comparison_results.csv": {
+          "bytes": 4079525,
+          "digest": "c7938baee6f32858fd4086838b2147c2a8aac4ce23b15a3d68ddc0eb0e1a2c66"
+        },
+        "data_dictionary.json": {
+          "bytes": 113936,
+          "digest": "6d5bbd677c22058a990128afa3c69ff11f961000f01166f803bd2bd9018984f5"
+        },
+        "fuzz_prompt_contract_v2.json": {
+          "bytes": 2562,
+          "digest": "8d33e0debb6bd5f4acdde0fdb49898ed3d59cbcfdd1585998884aa6bc674d115"
+        },
+        "golden_oracle_fixtures.json": {
+          "bytes": 2733585,
+          "digest": "0673b5e5c0fb1b7ba4bdc8c9aa985104260db183453c5708aff14c87823edb97"
+        },
+        "model_card.md": {
+          "bytes": 27966,
+          "digest": "143f6556bb86d5c251a549ec5f92dfe962fa1bfd4d90bb5f218ff2a341e6ab7a"
+        },
+        "prompt_contract.json": {
+          "bytes": 1201,
+          "digest": "6c27b0082c69a3835a6da271a83b85a51833359205ec525e717afed14200b6eb"
+        },
+        "rollup.json": {
+          "bytes": 177653,
+          "digest": "89869e1fb5e46f86793d276779a525171299be9f6362cd34124b9a841dcf9897"
+        },
+        "run_manifest.json": {
+          "bytes": 47610,
+          "digest": "8f6a3cfa77639906201203a822924e49e207f5ad28a38450ab362a570986c10f"
+        },
+        "summary.md": {
+          "bytes": 26254,
+          "digest": "c009e6c45423f2e368c8c919b604e7c5993266479f0e341d13bdaa266835b39c"
+        },
+        "throughput_telemetry.jsonl": {
+          "bytes": 4976541,
+          "digest": "c9c7a9d6051789f80978b9b613426e7175bb565ec3feea41f2adca01db027a6d"
+        }
+      },
+      "schema_version": 1
+    },
+    "Qwen2.5_14B_Instruct_1M_20260815_220633": {
+      "algorithm": "sha256",
+      "files": {
+        "README.md": {
+          "bytes": 2208,
+          "digest": "17cce8f4247e9765c876293412ac5bb705e3dc894821a41318035d05bf4f7d5b"
+        },
+        "catalog_recommendation.json": {
+          "bytes": 7555,
+          "digest": "948958891f1427c29e1eb7724ff909192a1f4391a0f71278c51300ab963fd5d9"
+        },
+        "comparison_results.csv": {
+          "bytes": 4207377,
+          "digest": "0ecc5a306805cf6cccd3f6ab11acd4a1cc5fd09b1f250a627487358663940a6c"
+        },
+        "data_dictionary.json": {
+          "bytes": 115855,
+          "digest": "a4b30b0dc4a78c70c3fee7a4d13af7de2763362e543b2bb7094f75ea8394e74d"
+        },
+        "fuzz_prompt_contract_v2.json": {
+          "bytes": 2562,
+          "digest": "8d33e0debb6bd5f4acdde0fdb49898ed3d59cbcfdd1585998884aa6bc674d115"
+        },
+        "golden_oracle_fixtures.json": {
+          "bytes": 2733585,
+          "digest": "0673b5e5c0fb1b7ba4bdc8c9aa985104260db183453c5708aff14c87823edb97"
+        },
+        "model_card.md": {
+          "bytes": 31171,
+          "digest": "553609be28f4235f6bfbd583cd9169dda96b6c31a4fbb993590b153c83049fb6"
+        },
+        "prompt_contract.json": {
+          "bytes": 1201,
+          "digest": "6c27b0082c69a3835a6da271a83b85a51833359205ec525e717afed14200b6eb"
+        },
+        "rollup.json": {
+          "bytes": 166299,
+          "digest": "be5eb5a632956a8f405e2a957e35969be7f6dbd022fa546b73fd1b9a738a2c5d"
+        },
+        "run_manifest.json": {
+          "bytes": 44517,
+          "digest": "e4eb3b59adbd830de2864f864e6532086ce0bb59e7763d212dd6a8e5c88da548"
+        },
+        "summary.md": {
+          "bytes": 27280,
+          "digest": "dfe84d8a4150b5389e46774e420c9ab2634ee302a69fa6aba12352c7beda99d5"
+        },
+        "throughput_telemetry.jsonl": {
+          "bytes": 5688976,
+          "digest": "17b9e3234942f43b05554340fc108e70367b350ec5daa1d49e9037c8c17867f8"
+        }
+      },
+      "schema_version": 1
+    },
+    "Qwen2.5_32B_Instruct_20260815_081051": {
+      "algorithm": "sha256",
+      "files": {
+        "README.md": {
+          "bytes": 2202,
+          "digest": "e7171c6e10929dff69a1da701ba42b128b3bb680263d668dec0aa3b83e0ea0f2"
+        },
+        "catalog_recommendation.json": {
+          "bytes": 8024,
+          "digest": "d9f046fc3cdac2ce5779af3dc87643ee7c14cfc85c70c85400e2f0d014667fc8"
+        },
+        "comparison_results.csv": {
+          "bytes": 4167080,
+          "digest": "3fe31c07817f2c577ca4f7a4e9c3ff3419b790e671cf89ccf4c7158a8eda3242"
+        },
+        "data_dictionary.json": {
+          "bytes": 115857,
+          "digest": "01e71d1f6ad7f6fd41a0bfe43923921e8f7e5528f48c4afdfe13211187d43c63"
+        },
+        "fuzz_prompt_contract_v2.json": {
+          "bytes": 2562,
+          "digest": "8d33e0debb6bd5f4acdde0fdb49898ed3d59cbcfdd1585998884aa6bc674d115"
+        },
+        "golden_oracle_fixtures.json": {
+          "bytes": 2733585,
+          "digest": "0673b5e5c0fb1b7ba4bdc8c9aa985104260db183453c5708aff14c87823edb97"
+        },
+        "model_card.md": {
+          "bytes": 28367,
+          "digest": "ae46aba69a24170f98a274de5e5f3f904c2810a939655578af41369401666dc0"
+        },
+        "prompt_contract.json": {
+          "bytes": 1201,
+          "digest": "6c27b0082c69a3835a6da271a83b85a51833359205ec525e717afed14200b6eb"
+        },
+        "rollup.json": {
+          "bytes": 181263,
+          "digest": "a34a7dab00ed885863583765a0202e48e6ee67542743bf119c73750820aa4b7a"
+        },
+        "run_manifest.json": {
+          "bytes": 59189,
+          "digest": "5f088aeee5f3f7ca71e2c220359a60740013569dd259ca9526b810eb789bae4c"
+        },
+        "summary.md": {
+          "bytes": 27501,
+          "digest": "dcf1ee5804133a05e4a33469921ee68835f48a56783b3fa5ad26e2a5ca52cb6b"
+        },
+        "throughput_telemetry.jsonl": {
+          "bytes": 5777376,
+          "digest": "3aedd41004fe03ffb17ae0f077a6dc9c1658a9c199fd04208a3d5778ea55e02d"
+        }
+      },
+      "schema_version": 1
+    },
+    "Qwen2.5_7B_Instruct_20260814_234822": {
+      "algorithm": "sha256",
+      "files": {
+        "README.md": {
+          "bytes": 2131,
+          "digest": "32b96d073e0a546da4a0407ae12868dfdc7ae1be9ae9886ba857d51ed7b3a5e9"
+        },
+        "catalog_recommendation.json": {
+          "bytes": 7458,
+          "digest": "d26a1e12bed873c092e11315f732780c742d48883fb837a4fdf4f3d752422b98"
+        },
+        "comparison_results.csv": {
+          "bytes": 3988377,
+          "digest": "b4dcb99fdc94aac60a6a3cc0b069c6e45a28a846731481a4197183d4bb3a56ba"
+        },
+        "data_dictionary.json": {
+          "bytes": 113339,
+          "digest": "3bf135bd566ed21d14cce4e89683ecb958bf721650f493708128a11322c3cc03"
+        },
+        "fuzz_prompt_contract_v2.json": {
+          "bytes": 2562,
+          "digest": "8d33e0debb6bd5f4acdde0fdb49898ed3d59cbcfdd1585998884aa6bc674d115"
+        },
+        "golden_oracle_fixtures.json": {
+          "bytes": 2733585,
+          "digest": "2a0f7cdd3d2432d715baf6026c07a8a20d6302d46a60c84c04257f8ade06914c"
+        },
+        "model_card.md": {
+          "bytes": 30372,
+          "digest": "c4ca14ebc8a8e48609ad692f29576b3ba6f1f78e510faabeb1a2c5df9f138f15"
+        },
+        "prompt_contract.json": {
+          "bytes": 1201,
+          "digest": "6bd13219380bb461f4c5df6a12e2b3718117f69a257bd08e8d4a6c571ab7237b"
+        },
+        "rollup.json": {
+          "bytes": 156786,
+          "digest": "899138cfcef0c42e889d5366fec7934e250ed4f8a2191b3dcb9ac2da70fb64ec"
+        },
+        "run_manifest.json": {
+          "bytes": 31597,
+          "digest": "1abc9b14e58e1e081c39e7668faaa17cc8d2f76e05de822f6f8c81ebb907338b"
+        },
+        "summary.md": {
+          "bytes": 25248,
+          "digest": "6125411eeeebf2ddf00ea554e8e51db32afb6ab7789e425f5fd54b6e0e7698a0"
+        },
+        "throughput_telemetry.jsonl": {
+          "bytes": 4500598,
+          "digest": "65c2191605e6c45e062f5b99dd79fbc1963891d72e12f547bf6818cd6782626f"
+        }
+      },
+      "schema_version": 1
+    }
+  },
+  "note": "Verbatim source-bundle digests. No bundle file was modified. Sanitization is by field selection during derivation."
+}