Ines-1 RC1 (private staging; release commit 239b54f): weights under Apache-2.0, code MIT

CHANGELOG_CLAIMS.md

@@ -25,3 +25,4 @@ Each is kept here with what replaced it and how it was found.
 | 18 | Common Pile and OpenWebMath "declare no licence" | OpenWebMath's card states ODC-By 1.0 + Common Crawl ToU, underlying licences unchanged; Common Pile components carry per-document licences with an official warning about metadata errors | LICENSING_NOTES.md §3.1 |
 | 19 | Dockerfile "not built" | Built from scratch and smoke-tested (CPU, GPU bf16: 0 of 400 answers changed vs canonical) | ENVIRONMENT.md |
 | 20 | `examples/quickstart.py` and `scripts/serve_jev.py` work from any copy | They failed when run from a `snapshot_download` cache (files are symlinks to blobs and `Path.resolve()` left the snapshot); fixed with `Path.absolute()`, found by the smoke test from the private Hub repo | smoke from the Hub |
+| 21 | Model weights licence pending review | Model weights, config and tokenizer: **Apache-2.0** (LICENSE, NOTICE), decided 2026-10-02; code MIT; training data keeps its own terms | LICENSING_NOTES.md §2 |

LICENSE

@@ -0,0 +1,202 @@
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LICENSING_NOTES.md

@@ -10,13 +10,24 @@ The modelling code (`mini_v41/`), the decision reader (`mini_v41_jev/`) and the
 `training/code/`) are released under the MIT License; the text is in [LICENSE-CODE](LICENSE-CODE)
 (Copyright (c) 2026 Endikavi).
 
-## 2. Model weights — license decision pending review
-
-**No licence has been chosen for the model weights.** The repository metadata carries no `license` field on purpose,
-so that nothing in it reads as a contractual licence. This note does not assume MIT, Apache-2.0, CC-BY, an OpenRAIL
-licence or a custom licence, and it does not propose one, nor does it conclude whether the weights are a derivative
-work of any training data. Until a decision is made, the weights should not be redistributed or relied upon under any
-particular licence.
+## 2. Model weights — Apache-2.0 (decided 2026-10-02)
+
+The model weights (`model.safetensors`), `config.json` and `tokenizer/` are released under the **Apache License 2.0**
+([LICENSE](LICENSE), [NOTICE](NOTICE)); the code stays MIT. The decision was taken by the author after the review
+material below. Facts considered:
+
+- The closest precedents with the same data release their models under Apache-2.0: the Common Pile authors' Comma v0.1
+  models (trained on the Common Pile, which includes CC BY-SA Wikimedia and StackExchange text; their card states they
+  cannot guarantee training exclusively on openly licensed text), and the tasksource author's models trained on
+  tasksource sources.
+- No training data is redistributed with the weights; attribution and provenance are kept in
+  THIRD_PARTY_DATA_NOTICE.md, NOTICE and the tasksource dossier.
+- Residual items for any later legal review: 10 tasksource sources with copyleft licences (GPL 8, AGPL 1, MPL 1;
+  690 Stage 2 questions, ~0.8 % of 86,436), share-alike text in pretraining and fine-tuning, and sources with
+  `Custom`/`OANC`/`other` terms (TASKSOURCE_LICENSE_AUDIT.md).
+
+These notes do not conclude whether trained weights are a derivative work of their training data; the licence of the
+weights does not change the terms of that data.
 
 ## 3. Training data — facts for the review
 

NOTICE

@@ -0,0 +1,15 @@
+Ines-1
+Copyright 2026 Endikavi
+
+The model weights (model.safetensors), config.json and tokenizer/ in this repository are licensed under the
+Apache License, Version 2.0 (see LICENSE). The code (mini_v41/, mini_v41_jev/, scripts/, examples/, training/code/)
+is licensed under the MIT License (see LICENSE-CODE).
+
+The model was trained on third-party data, which is not redistributed here and remains under its own terms.
+Attribution and provenance: THIRD_PARTY_DATA_NOTICE.md. In particular:
+  - jev-decisions-v1 by samatv256 (CC-BY-4.0), derived from NVIDIA public agentic datasets (CC BY 4.0); NVIDIA is
+    the upstream data developer and does not endorse this model;
+  - typed-decisions (LocalLLaMA), typed-decisions-pt-es (telepatia-ai), tasksource-jev-typed-decisions (tasksource,
+    per-source licences: TASKSOURCE_LICENSE_AUDIT.md), typed-decisions-synth (n4ze3m),
+    synthetic-typed-decisions (helmo);
+  - pretraining text from FineWeb, FineWeb-Edu and FineWeb-2 (Hugging Face), the Common Pile v0.1 and OpenWebMath.

README.md

@@ -1,4 +1,5 @@
 ---
+license: apache-2.0
 language:
   - en
   - es
@@ -31,10 +32,10 @@ datasets:
 
 # Ines-1
 
-> **Model weights license: pending review.** The weights were trained on data under several licences, including
-> attribution, share-alike and copyleft terms. See [THIRD_PARTY_DATA_NOTICE.md](THIRD_PARTY_DATA_NOTICE.md) and the
-> review notes in [LICENSING_NOTES.md](LICENSING_NOTES.md) (notes, not a licence). The code is MIT
-> ([LICENSE-CODE](LICENSE-CODE)).
+> **Licences.** Model weights (`model.safetensors`), `config.json` and `tokenizer/`: **Apache-2.0** ([LICENSE](LICENSE),
+> [NOTICE](NOTICE)). Code: **MIT** ([LICENSE-CODE](LICENSE-CODE)). The training data is third-party, not redistributed,
+> and remains under its own terms, including attribution, share-alike and copyleft ones: see
+> [THIRD_PARTY_DATA_NOTICE.md](THIRD_PARTY_DATA_NOTICE.md) and [LICENSING_NOTES.md](LICENSING_NOTES.md).
 
 **Ines-1** is a **typed-decision model pretrained from scratch**: a 1.59B-parameter mixture-of-experts causal
 encoder–decoder (405M parameters active per token) with hashed n-gram memory (Engram), pretrained on about 10B
@@ -324,7 +325,7 @@ manifests, data audit, scripts), `eval/` (reports, per-item outputs, speed proto
 `requirements.txt`, `requirements.lock`, `Dockerfile`, [CHANGELOG_CLAIMS.md](CHANGELOG_CLAIMS.md),
 [THIRD_PARTY_DATA_NOTICE.md](THIRD_PARTY_DATA_NOTICE.md), [LICENSING_NOTES.md](LICENSING_NOTES.md),
 [TASKSOURCE_LICENSE_AUDIT.md](TASKSOURCE_LICENSE_AUDIT.md) + `tasksource_license_audit.csv`,
-[LICENSE-CODE](LICENSE-CODE), `SHA256SUMS`.
+[LICENSE](LICENSE) (Apache-2.0, weights), [NOTICE](NOTICE), [LICENSE-CODE](LICENSE-CODE) (MIT, code), `SHA256SUMS`.
 
 ## Citation
 

SHA256SUMS

@@ -1,15 +1,17 @@
 97ad8982da911d928c3423f164a38f80608b98289ac4f4b3f292d90ae0ef2262  .dockerignore
 344fc5bfdbc9c68d218d648034f4a1651ca5bf71e513dedac9b45a8847830913  .gitattributes
 862263fa1f46c20f0d1e4dac5ffcc75abd55c08211b2c3864c5f8764b9d87793  .gitignore
-ca35e4ec342f6ebbd2d8a46f2a595b4b03bb1984f7e0e0a00be7ed12276c7d2e  CHANGELOG_CLAIMS.md
+73b5c37b6008d873ca792aadee562b7b99413d1a88fbc7a82e7d8787667fc6ae  CHANGELOG_CLAIMS.md
 e4a1aeafc1f6c01f8fff69aef8a2518631428f3ec96db4a9a56d7bb296cce95f  Dockerfile
 5e98ea3d3045927158b597521fcf127ac5569e656e4e665f0c94a35e2a191980  ENVIRONMENT.md
+cfc7749b96f63bd31c3c42b5c471bf756814053e847c10f3eb003417bc523d30  LICENSE
 6a7ddcad077839a44697c005ea7e6f455caecaa8054412913108d6e21a1c9dbe  LICENSE-CODE
-37c5257ecb7a0b812dab7eb227c92a759d20fa65acedc6775e801ec4befdc4e3  LICENSING_NOTES.md
-e1f820a26411b16f4bbbc12297e24ee85034d1e932330fa25a36e65321891ef2  README.md
+2d6f4e21f766eedbfe2a92b3b8058493ad4e907f5f0756049ac1e2c53e3cfd01  LICENSING_NOTES.md
+178f429d8400d3f9df9e3b9cac9e64e3cff29cf9cd21bb135c91ede2866cbfe1  NOTICE
+cc5f7c9d0a38afbad2aab67708743858e20e34e7849bc98883e33fb0ad6438b1  README.md
 6ec8a2bb55f9331d77b9adbeae7fd71eeb5614a988cd21eee18c7bde775df5ba  TASKSOURCE_LICENSE_AUDIT.md
 058dc5687ddb161d4dbfcf1703ae059e78698714b4ce2ddf1783262c10b95142  THIRD_PARTY_DATA_NOTICE.md
-da033a156322d35b0655ed54a17333d4858940fc83f6b78d80fce3809d191a8b  config.json
+78a191f876a6927c8686577bc5b7e5ddb2dcf28b0dae13eb9e4745fe61766bb5  config.json
 da9bad7608ad2fd759e0e9088fd55a60a22d11ea6b8cb720040594a2b0fc556f  eval/fullcase_report.json
 60e288cf88dfdf189fa7582daaad8a274911ce47db6cf47f3dfe0367760fa353  eval/fullcase_report.md
 a8e81da13d548c4dac0d26ecab081c4640429f1493eb607015bbca8008000d29  eval/items/v3-engram_off__tasksource.jsonl

config.json

@@ -95,7 +95,7 @@
     "engram_backend_identity": "token_id:65536:65536:197f7a314b356f70",
     "training_code_commit": "0b5e63e3da05c1a51eb9f0ea1758f8d53d200a80-dirty",
     "bundle_model_code_commit": "5d1ad97",
-    "bundle_release_code_commit": "a95685c",
+    "bundle_release_code_commit": "239b54f",
     "torch_version_at_training": "2.14.0+cu130"
   }
 }