Add Decision-0.8B comparison and shorten license text

LICENSE

@@ -0,0 +1,202 @@
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NOTICE

@@ -0,0 +1,42 @@
+Decision-4B — experimental decision adapter
+Copyright 2026 Eval Engine contributors
+
+New Eval Engine code and adapter modifications are licensed under Apache-2.0
+to the extent of the contributors' rights. This notice is informational and
+does not replace any source's license or grant rights in third-party data.
+
+Base model: Qwen/Qwen3.5-4B, Qwen Team / Alibaba.
+Revision: 851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a.
+License: Apache License 2.0, included in licenses/QWEN-LICENSE.
+https://huggingface.co/Qwen/Qwen3.5-4B
+This package contains Qwen base weights modified by the Decision LoRA, merged and converted to GGUF.
+
+Training recipe reference: togethercomputer/tev1.
+Revision: 1dde7782382c9f49d627153759b8d1deab426ce0.
+Copyright (c) 2026 open-jev contributors.
+MIT license is retained in licenses/TEV-LICENSE.
+https://github.com/togethercomputer/tev1
+Eval Engine wrote the local trainer, data additions, evaluation and packaging.
+The adapter's copied metadata names the public base and exact base revision;
+the source run and tensor bytes are preserved.
+
+Dataset acknowledgments (actual selected sources/counts are in the model card):
+- MultiNLI: NYU / MultiNLI authors; mixed-source corpus terms.
+- BoolQ: Google Research / BoolQ authors; CC-BY-SA-3.0 dataset metadata.
+- Banking77: PolyAI / Banking77 authors; CC-BY-4.0 dataset metadata.
+- CLINC150: CLINC / oos-eval authors; CC-BY-3.0.
+- PAWS-Wiki: Google LLC / PAWS authors; custom any-purpose dataset license;
+  underlying Wikipedia provenance remains relevant.
+- VitaminC: Tal Schuster and coauthors; Wikipedia and FEVER contributors;
+  applicable article terms with CC-BY-SA-3.0 fallback in the author data license.
+- HelpSteer2: NVIDIA and contributors; CC-BY-4.0.
+- GoEmotions: Google Research and contributors; Apache-2.0 dataset metadata;
+  underlying Reddit-text provenance remains relevant.
+- Synthetic policies, routing, and fictional research taxonomy: contributors
+  to togethercomputer/tev1, under the repository's MIT notice.
+
+AG News and SST-5, if present in a selected baseline, have unresolved source
+license metadata in the Tev provenance record. They are excluded from the
+expanded model's training but remain in some evaluation sets. The package does
+not contain corpus text from any of these sources. See SOURCES.json and
+SOURCE_REVIEW.md for exact links, revisions and remaining review questions.

README.md

@@ -30,7 +30,7 @@ All three are the LoRA merged into Qwen3.5-4B. The BF16 adapter scores 87.3% on
 
 ## Benchmark
 
-![Decision-4B vs. decision models](benchmark.png)
+![Decision-4B and Decision-0.8B vs. decision models](benchmark.png)
 
 Full table and details on the [adapter card](https://huggingface.co/evalengine/decision-4b).
 
@@ -74,6 +74,6 @@ Input is a JSON object with `state`, `question`, and 2 to 24 `options`, each wit
 
 ## License
 
-Apache 2.0. Qwen3.5-4B base: Apache 2.0. Datasets keep their own terms.
+Apache 2.0. Third-party terms and notices apply.
 
 Built by Eval Engine ($EVAL), Chromia ($CHR).

SOURCES.json

@@ -0,0 +1,150 @@
+{
+  "schema_version": 1,
+  "sources": {
+    "policy_v2": {
+      "repo": "togethercomputer/tev1",
+      "revision": "1dde7782382c9f49d627153759b8d1deab426ce0",
+      "license": "MIT repository license; authored synthetic data",
+      "url": "https://github.com/togethercomputer/tev1",
+      "training_decisions": 12000,
+      "transformation": "Sampled and normalized into state/question/options; original labels mapped to an answer letter. Source text is not redistributed."
+    },
+    "boolq": {
+      "repo": "google/boolq",
+      "revision": "35b264d03638db9f4ce671b711558bf7ff0f80d5",
+      "config": null,
+      "license_metadata": [
+        "cc-by-sa-3.0"
+      ],
+      "url": "https://huggingface.co/datasets/google/boolq",
+      "training_decisions": 3000,
+      "transformation": "Sampled and normalized into state/question/options; original labels mapped to an answer letter. Source text is not redistributed."
+    },
+    "vitaminc": {
+      "repo": "tals/vitaminc",
+      "revision": "be6febb761b0b2807687e61e0b5282e459df2fa0",
+      "config": "default",
+      "format": "json",
+      "data_files": {
+        "train": "train.jsonl",
+        "validation": "dev.jsonl",
+        "test": "test.jsonl"
+      },
+      "license": "CC-BY-SA-3.0; Wikipedia-derived data terms",
+      "license_url": "https://github.com/TalSchuster/VitaminC/blob/main/DATA_LICENSE",
+      "training_decisions": 12000,
+      "transformation": "Sampled and normalized into state/question/options; original labels mapped to an answer letter. Source text is not redistributed."
+    },
+    "helpsteer2": {
+      "repo": "nvidia/HelpSteer2",
+      "revision": "990b2711a36180dd19d9c94b8627844866f8982a",
+      "config": "default",
+      "format": "json",
+      "data_files": {
+        "train": "train.jsonl.gz",
+        "validation": "validation.jsonl.gz"
+      },
+      "license": "CC-BY-4.0",
+      "license_url": "https://huggingface.co/datasets/nvidia/HelpSteer2",
+      "training_decisions": 7968,
+      "transformation": "Sampled and normalized into state/question/options; original labels mapped to an answer letter. Source text is not redistributed."
+    },
+    "research_taxonomy_v21": {
+      "repo": "togethercomputer/tev1",
+      "revision": "1dde7782382c9f49d627153759b8d1deab426ce0",
+      "license": "MIT repository license; authored synthetic data",
+      "url": "https://github.com/togethercomputer/tev1",
+      "training_decisions": 3840,
+      "transformation": "Sampled and normalized into state/question/options; original labels mapped to an answer letter. Source text is not redistributed."
+    },
+    "paws": {
+      "repo": "google-research-datasets/paws",
+      "revision": "161ece9501cf0a11f3e48bd356eaa82de46d6a09",
+      "config": "labeled_final",
+      "format": "parquet",
+      "data_files": {
+        "train": "labeled_final/train-00000-of-00001.parquet",
+        "validation": "labeled_final/validation-00000-of-00001.parquet",
+        "test": "labeled_final/test-00000-of-00001.parquet"
+      },
+      "license": "custom-any-purpose; retain Wikipedia provenance",
+      "license_url": "https://github.com/google-research-datasets/paws/blob/master/LICENSE",
+      "training_decisions": 8000,
+      "transformation": "Sampled and normalized into state/question/options; original labels mapped to an answer letter. Source text is not redistributed."
+    },
+    "routing_v2": {
+      "repo": "togethercomputer/tev1",
+      "revision": "1dde7782382c9f49d627153759b8d1deab426ce0",
+      "license": "MIT repository license; authored synthetic data",
+      "url": "https://github.com/togethercomputer/tev1",
+      "training_decisions": 6000,
+      "transformation": "Sampled and normalized into state/question/options; original labels mapped to an answer letter. Source text is not redistributed."
+    },
+    "clinc150": {
+      "repo": "clinc/clinc_oos",
+      "revision": "155b9c710419136e17307b80d0a13e68cd46b4ec",
+      "config": "plus",
+      "format": "parquet",
+      "data_files": {
+        "train": "plus/train-00000-of-00001.parquet",
+        "validation": "plus/validation-00000-of-00001.parquet",
+        "test": "plus/test-00000-of-00001.parquet"
+      },
+      "license": "CC-BY-3.0",
+      "license_url": "https://github.com/clinc/oos-eval/blob/master/LICENSE",
+      "training_decisions": 8000,
+      "transformation": "Sampled and normalized into state/question/options; original labels mapped to an answer letter. Source text is not redistributed."
+    },
+    "mnli": {
+      "repo": "nyu-mll/multi_nli",
+      "revision": "da70db2af9d09693783c3320c4249840212ee221",
+      "config": null,
+      "license_metadata": [
+        "cc-by-3.0",
+        "cc-by-sa-3.0",
+        "mit",
+        "other"
+      ],
+      "url": "https://huggingface.co/datasets/nyu-mll/multi_nli",
+      "training_decisions": 5000,
+      "transformation": "Sampled and normalized into state/question/options; original labels mapped to an answer letter. Source text is not redistributed."
+    },
+    "go_emotions": {
+      "repo": "google-research-datasets/go_emotions",
+      "revision": "add492243ff905527e67aeb8b80c082af02207c3",
+      "config": "simplified",
+      "format": "parquet",
+      "data_files": {
+        "train": "simplified/train-00000-of-00001.parquet",
+        "validation": "simplified/validation-00000-of-00001.parquet",
+        "test": "simplified/test-00000-of-00001.parquet"
+      },
+      "license": "Apache-2.0 metadata; retain Reddit provenance",
+      "license_url": "https://huggingface.co/datasets/google-research-datasets/go_emotions",
+      "training_decisions": 4000,
+      "transformation": "Sampled and normalized into state/question/options; original labels mapped to an answer letter. Source text is not redistributed."
+    },
+    "banking77": {
+      "repo": "legacy-datasets/banking77",
+      "revision": "f54121560de48f2852f90be299010d1d6dc612ec",
+      "config": null,
+      "license_metadata": [
+        "cc-by-4.0"
+      ],
+      "url": "https://huggingface.co/datasets/legacy-datasets/banking77",
+      "training_decisions": 3000,
+      "transformation": "Sampled and normalized into state/question/options; original labels mapped to an answer letter. Source text is not redistributed."
+    },
+    "policy": {
+      "repo": "togethercomputer/tev1",
+      "revision": "1dde7782382c9f49d627153759b8d1deab426ce0",
+      "license": "MIT repository license; authored synthetic data",
+      "url": "https://github.com/togethercomputer/tev1",
+      "training_decisions": 1500,
+      "transformation": "Sampled and normalized into state/question/options; original labels mapped to an answer letter. Source text is not redistributed."
+    }
+  },
+  "source_text_redistributed": false,
+  "rights_review": "Source terms documented; no blanket corpus or learned-weight rights conclusion",
+  "review": "SOURCE_REVIEW.md"
+}

SOURCE_REVIEW.md

@@ -0,0 +1,60 @@
+# Source and license review
+
+Reviewed 2026-09-24 against pinned local artifacts and primary publisher pages.
+This record distinguishes source terms, packaging decisions and unresolved
+interpretation. It does not conclude that a dataset license automatically
+applies to trained weights, or that a model license grants rights over source
+text. The GGUF package includes modified model weights and metadata, not corpus text.
+
+## Verified source statements
+
+| Material | Observed terms | Primary source |
+|---|---|---|
+| Qwen3.5-4B | Apache-2.0; pinned license copied verbatim | [Pinned license](https://huggingface.co/Qwen/Qwen3.5-4B/blob/851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a/LICENSE) |
+| Tev code and authored generators | MIT; copyright/permission notice retained | [Pinned license](https://github.com/togethercomputer/tev1/blob/1dde7782382c9f49d627153759b8d1deab426ce0/LICENSE) |
+| MultiNLI | Mixed-source corpus: card lists CC-BY-3.0, CC-BY-SA-3.0, MIT and other terms; fiction has source-specific terms | [Dataset card](https://huggingface.co/datasets/nyu-mll/multi_nli) |
+| BoolQ | CC-BY-SA-3.0 metadata recorded by the pinned Tev source audit | [Dataset card](https://huggingface.co/datasets/google/boolq) |
+| Banking77 | CC-BY-4.0 metadata recorded by the pinned Tev source audit | [Dataset card](https://huggingface.co/datasets/legacy-datasets/banking77) |
+| CLINC150 | Author repository contains CC-BY-3.0 | [Author license](https://github.com/clinc/oos-eval/blob/master/LICENSE) |
+| PAWS | Custom dataset license permits any purpose and asks for acknowledgment; it is not an Apache-2.0 license | [Author license](https://github.com/google-research-datasets/paws/blob/master/LICENSE) |
+| VitaminC | Author data license refers to applicable Wikipedia article terms, with CC-BY-SA-3.0 fallback; synthetic annotations also incorporate FEVER material | [Author data license](https://github.com/TalSchuster/VitaminC/blob/main/DATA_LICENSE) |
+| HelpSteer2 | NVIDIA card lists CC-BY-4.0 | [Publisher card](https://huggingface.co/datasets/nvidia/HelpSteer2) |
+| GoEmotions | Apache-2.0 metadata recorded at the pinned dataset revision; texts originate from Reddit | [Publisher card](https://huggingface.co/datasets/google-research-datasets/go_emotions) |
+| AG News and SST-5 | Unknown / unspecified source-license metadata in the pinned Tev audit | [Pinned provenance](https://github.com/togethercomputer/tev1/blob/1dde7782382c9f49d627153759b8d1deab426ce0/DATA_SOURCES.md) |
+
+`SOURCES.json` records the precise data revisions used. Links to branch names in
+this review are primary references checked on the review date; pinned data and
+original file hashes remain the reproducibility identity. Retain source names,
+license links and transformation descriptions when citing this work.
+
+## What this package does
+
+1. Offers new Eval Engine material under Apache-2.0 to the extent of its rights,
+   retains the Qwen license and Tev MIT notice, and identifies modifications.
+2. Copies only the selected adapter tensors, rewrites its base-location metadata
+   for portability, and preserves original hashes and evaluation provenance.
+3. Excludes all training/evaluation JSONL files, raw source archives, model inputs,
+   response text, optimizer states and full base weights.
+4. Keeps source terms separate from the model license. No claim is made that the
+   collection is uniformly permissive, wholly original, or free of third-party
+   rights.
+
+## Remaining interpretation and review limits
+
+- The audit is source-level. It has not resolved every underlying Wikipedia,
+  Reddit, fiction, or other third-party text right on a per-item basis.
+- Attribution/share-alike scope for transformed source text and learned weights
+  are distinct questions. This record does not decide that trained parameters
+  are, or are not, adaptations under every applicable term and jurisdiction.
+- AG News/SST-5 removal reduces ambiguity for the expanded training recipe; it
+  does not resolve the remaining sources' terms. A baseline package still needs
+  to disclose those training sources. Aggregate evaluation results are included
+  without their source text.
+- No complete personal-data, memorization, or provenance audit of upstream
+  pretrained Qwen weights or every source row has been performed. The short
+  answer interface is not evidence that those questions are settled.
+- This is a local, reviewable experimental package. Publication is a separate
+  action. The manifest records this review as documented, not blanket clearance.
+
+These limits should travel with the artifact. They need not be presented as a
+claim that open-weight publication is prohibited.

evaluation/benchmark.csv

@@ -0,0 +1,13 @@
+model,display_name,cases,family_mean_accuracy,all_case_accuracy,errors
+hosted_jev,Jev 1.13 · hosted TypeSafe,2800,0.7894444444444444,0.7760714285714285,0
+expanded,Decision-4B (ours),2800,0.763888888888889,0.7914285714285715,0
+djev,"Djev · NVFP4, one step",2800,0.7611111111111111,0.7571428571428571,0
+baseline,Local Tev-style baseline · 4B,2800,0.6797222222222222,0.6903571428571429,0
+decision_08b,Decision-0.8B (ours),2800,0.6261111111111111,0.6882142857142857,0
+published_tev,Published Tev · 4B,2800,0.6183333333333333,0.6496428571428572,0
+kev,Kev-4B · installed revision,2800,0.6122222222222222,0.6475,0
+laya,Laya · English root,2800,0.5833333333333334,0.6425,0
+flock,FLock this-that 1.1,2800,0.5627777777777778,0.6128571428571429,0
+qwen,Original Qwen3.5-4B,2800,0.5186111111111111,0.5832142857142857,0
+tev_08b,Published Tev · 0.8B,2800,0.5141666666666667,0.5553571428571429,0
+qwen_08b,Original Qwen3.5-0.8B,2800,0.39805555555555555,0.43892857142857145,0

licenses/QWEN-LICENSE

@@ -0,0 +1,202 @@
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licenses/TEV-LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2026 open-jev contributors
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+Permission is hereby granted, free of charge, to any person obtaining a copy
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