Add Apache-2.0 license under Grimlabs LLC

Co-Authored-By: Claude Code <noreply@anthropic.com>

LICENSE

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

@@ -0,0 +1,12 @@
+GrimBoost-01
+Copyright 2026 Grimlabs LLC
+
+This product includes software and model weights developed by Grimlabs LLC.
+
+GrimBoost and Grimlabs are trademarks of Grimlabs LLC. The Apache License,
+Version 2.0, does not grant permission to use these trademarks except as
+required for reasonable and customary use in describing the origin of the
+work.
+
+The model was trained on publicly available datasets. Their upstream terms
+apply to those datasets and are not superseded by the Apache License.

README.md

@@ -1,6 +1,7 @@
 ---
 library_name: transformers
 pipeline_tag: text-generation
+license: apache-2.0
 inference: false
 tags:
   - grimboost
@@ -25,6 +26,7 @@ model-index:
   <img src="assets/banner.png" alt="GrimBoost-01 — confidence-gated selective verification with cascading re-evaluation" width="100%">
   <p>
     <img alt="Parameters" src="https://img.shields.io/badge/parameters-19.1M-0F766E?style=flat-square">
+    <img alt="License" src="https://img.shields.io/badge/license-Apache--2.0-0F766E?style=flat-square">
     <img alt="Weights" src="https://img.shields.io/badge/weights-FP32%20safetensors-1E293B?style=flat-square">
     <img alt="Alignment" src="https://img.shields.io/badge/alignment-UTF--8%20bytes-0D9488?style=flat-square">
     <img alt="Runtime" src="https://img.shields.io/badge/runtime-local%20CUDA-334155?style=flat-square">
@@ -61,7 +63,7 @@ takeover — contains the errors that follow. The output quality trade is measur
 | **Measured speed** | **1.40×–2.90×** vs eager Transformers on 10k-token workloads |
 | **Output agreement** | **100%** of emitted bytes in the reported runs |
 | **Prediction status** | **Not certified** for unchecked generation |
-| **License** | Not selected yet — see [License](#license) |
+| **License** | [Apache-2.0](LICENSE) · © 2026 Grimlabs LLC |
 
 ## How it works
 
@@ -328,6 +330,7 @@ Design notes and full experiment reports are under [`docs/`](docs/).
 
 | Path | Contents |
 |---|---|
+| [`LICENSE`](LICENSE) / [`NOTICE`](NOTICE) | Apache-2.0 terms and Grimlabs LLC attribution |
 | [`model.safetensors`](model.safetensors) | FP32 drafter weights |
 | [`config.json`](config.json) | Llama-compatible architecture config |
 | [`tokenizer.json`](tokenizer.json) / [`tokenizer_config.json`](tokenizer_config.json) | 16k byte-level BPE |
@@ -355,7 +358,13 @@ Design notes and full experiment reports are under [`docs/`](docs/).
 
 ## License
 
-**No license has been selected for the code or the weights.** This release does not
-grant a license, and the Hub metadata deliberately leaves the license field unset.
-Contact Grimlabs for terms before redistribution or commercial use. Upstream dataset
-terms still apply to the training data.
+Copyright 2026 **Grimlabs LLC**.
+
+GrimBoost-01 — including the model weights, runtime, and release materials — is
+licensed under the [Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0).
+See [`LICENSE`](LICENSE) and [`NOTICE`](NOTICE).
+
+The license does not grant rights to third-party training datasets or target models;
+their upstream terms still apply. “GrimBoost” and “Grimlabs” are trademarks of
+Grimlabs LLC; the Apache License does not grant trademark rights beyond customary
+use in describing the origin of the work.

docs/HUGGING_FACE_MODEL_CARD.md

@@ -1,6 +1,7 @@
 ---
 library_name: transformers
 pipeline_tag: text-generation
+license: apache-2.0
 inference: false
 tags:
   - grimboost
@@ -25,6 +26,7 @@ model-index:
   <img src="assets/banner.png" alt="GrimBoost-01 — confidence-gated selective verification with cascading re-evaluation" width="100%">
   <p>
     <img alt="Parameters" src="https://img.shields.io/badge/parameters-19.1M-0F766E?style=flat-square">
+    <img alt="License" src="https://img.shields.io/badge/license-Apache--2.0-0F766E?style=flat-square">
     <img alt="Weights" src="https://img.shields.io/badge/weights-FP32%20safetensors-1E293B?style=flat-square">
     <img alt="Alignment" src="https://img.shields.io/badge/alignment-UTF--8%20bytes-0D9488?style=flat-square">
     <img alt="Runtime" src="https://img.shields.io/badge/runtime-local%20CUDA-334155?style=flat-square">
@@ -61,7 +63,7 @@ takeover — contains the errors that follow. The output quality trade is measur
 | **Measured speed** | **1.40×–2.90×** vs eager Transformers on 10k-token workloads |
 | **Output agreement** | **100%** of emitted bytes in the reported runs |
 | **Prediction status** | **Not certified** for unchecked generation |
-| **License** | Not selected yet — see [License](#license) |
+| **License** | [Apache-2.0](LICENSE) · © 2026 Grimlabs LLC |
 
 ## How it works
 
@@ -328,6 +330,7 @@ Design notes and full experiment reports are under [`docs/`](docs/).
 
 | Path | Contents |
 |---|---|
+| [`LICENSE`](LICENSE) / [`NOTICE`](NOTICE) | Apache-2.0 terms and Grimlabs LLC attribution |
 | [`model.safetensors`](model.safetensors) | FP32 drafter weights |
 | [`config.json`](config.json) | Llama-compatible architecture config |
 | [`tokenizer.json`](tokenizer.json) / [`tokenizer_config.json`](tokenizer_config.json) | 16k byte-level BPE |
@@ -355,7 +358,13 @@ Design notes and full experiment reports are under [`docs/`](docs/).
 
 ## License
 
-**No license has been selected for the code or the weights.** This release does not
-grant a license, and the Hub metadata deliberately leaves the license field unset.
-Contact Grimlabs for terms before redistribution or commercial use. Upstream dataset
-terms still apply to the training data.
+Copyright 2026 **Grimlabs LLC**.
+
+GrimBoost-01 — including the model weights, runtime, and release materials — is
+licensed under the [Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0).
+See [`LICENSE`](LICENSE) and [`NOTICE`](NOTICE).
+
+The license does not grant rights to third-party training datasets or target models;
+their upstream terms still apply. “GrimBoost” and “Grimlabs” are trademarks of
+Grimlabs LLC; the Apache License does not grant trademark rights beyond customary
+use in describing the origin of the work.

docs/HUGGING_FACE_RELEASE.md

@@ -23,18 +23,17 @@ it: optimized target execution, with no unchecked draft release. It distinguishe
 finite output parity from prediction accuracy, provides compatibility evidence,
 describes learning/verification/repair, and documents current research limits.
 
-The original workspace has no selected license. This draft supplies no license
-grant and deliberately leaves the HF license field unset. The owner must select
-code and weight licenses before public distribution. No public repository or
-namespace is assumed, and no authentication tokens are packaged.
+The release is licensed under the **Apache License, Version 2.0**, with copyright
+held by **Grimlabs LLC**. `LICENSE` and `NOTICE` are included in the release, and
+the HF card declares `license: apache-2.0`. The license covers the model weights,
+runtime, and release materials; upstream dataset terms still apply to the training
+data. No authentication tokens are packaged.
 
 ## Publication status
 
-Prepared and uploaded privately to
+Published publicly at
 [`Grimlabs/GrimBoost-01`](https://huggingface.co/Grimlabs/GrimBoost-01) on
-2026-10-20. The repository remains **private** and the license field remains
-**unset**. Public visibility and licensing are explicit owner decisions; the
-upload did not change either.
+2026-10-20 under Apache-2.0. Copyright 2026 Grimlabs LLC.
 
 HF reference documentation: [model sharing](https://huggingface.co/docs/transformers/model_sharing),
 [model cards](https://huggingface.co/docs/hub/model-cards),

grimboost/huggingface.py

@@ -87,7 +87,9 @@ def export_checkpoint(checkpoint: str | Path, tokenizer_path: str | Path,
     # Retain the exact original bytes/hash for native adaptation provenance.
     (output_dir / 'tokenizer.json').write_bytes(tokenizer_path.read_bytes())
     metadata = {
-        'format_version': 1, 'drafter_config': cfg.to_dict(), 'step': state.get('step'),
+        'format_version': 1, 'license': 'Apache-2.0',
+        'copyright': 'Copyright 2026 Grimlabs LLC',
+        'drafter_config': cfg.to_dict(), 'step': state.get('step'),
         'source_checkpoint_sha256': sha256(checkpoint),
         'tokenizer_sha256': tokenizer_hash, 'adaptation': checkpoint_metadata(state),
         'prediction_readiness': 'not_certified_by_export',

grimboost_metadata.json

@@ -1,5 +1,7 @@
 {
   "format_version": 1,
+  "license": "Apache-2.0",
+  "copyright": "Copyright 2026 Grimlabs LLC",
   "drafter_config": {
     "vocab_size": 16000,
     "hidden_size": 384,

pyproject.toml

@@ -6,6 +6,9 @@ build-backend = "setuptools.build_meta"
 name = "grimboost"
 version = "0.1.0"
 description = "Confidence-gated selective verification with cascading re-evaluation"
+authors = [{ name = "Grimlabs LLC" }]
+license = "Apache-2.0"
+license-files = ["LICENSE", "NOTICE"]
 requires-python = ">=3.12"
 dependencies = [
   "torch>=2.4",

release_manifest.json

@@ -3,9 +3,14 @@
   "release": "GrimBoost-19M",
   "prepared_date": "2026-10-20",
   "published": true,
-  "license_selected": false,
+  "license": "Apache-2.0",
+  "license_holder": "Grimlabs LLC",
+  "copyright": "Copyright 2026 Grimlabs LLC",
+  "license_selected": true,
   "source_checkpoint": {
     "format_version": 1,
+    "license": "Apache-2.0",
+    "copyright": "Copyright 2026 Grimlabs LLC",
     "drafter_config": {
       "vocab_size": 16000,
       "hidden_size": 384,
@@ -43,9 +48,17 @@
       "sha256": "2f5546997c98dc22746d369a026cbeb068cacbdba4016502b3701942e0dde67d",
       "bytes": 102
     },
+    "LICENSE": {
+      "sha256": "cfc7749b96f63bd31c3c42b5c471bf756814053e847c10f3eb003417bc523d30",
+      "bytes": 11358
+    },
+    "NOTICE": {
+      "sha256": "179fbe73e4dd470b310096f5c806cbd6df45b528a2e14b47db90398ff7da264c",
+      "bytes": 493
+    },
     "README.md": {
-      "sha256": "d687299cbdfea12433ec8121827a940e4de321a697ff37f4e3c111012f905a46",
-      "bytes": 18271
+      "sha256": "721d11ede0dc8bfb2561969246506ab3ef35698722cfe99dfa76ad02b1af962d",
+      "bytes": 18757
     },
     "assets/architecture.png": {
       "sha256": "782a80e81bea32e60a673a4a63b0bd3498b12eb4db3776a59cb3a07007744416",
@@ -168,12 +181,12 @@
       "bytes": 2535
     },
     "docs/HUGGING_FACE_MODEL_CARD.md": {
-      "sha256": "d687299cbdfea12433ec8121827a940e4de321a697ff37f4e3c111012f905a46",
-      "bytes": 18271
+      "sha256": "721d11ede0dc8bfb2561969246506ab3ef35698722cfe99dfa76ad02b1af962d",
+      "bytes": 18757
     },
     "docs/HUGGING_FACE_RELEASE.md": {
-      "sha256": "1c2c61ffa1fc7acf1a6502863b1795377371332f46a58cecc411f1732a8c6709",
-      "bytes": 2114
+      "sha256": "1883bbda5bec0af6e44beaba4f24539887b4ee8f7162135dd880790d149f1131",
+      "bytes": 2048
     },
     "docs/IMPROVEMENT_RESULTS.md": {
       "sha256": "2882bc8977a971fc03fdcd552ad2f02555211d81f7faabb36ba025e34a556159",
@@ -272,8 +285,8 @@
       "bytes": 7375
     },
     "grimboost/huggingface.py": {
-      "sha256": "d377600e303666cf97e8ddac830a5e05048b2fe444761876046e56e629fde06f",
-      "bytes": 7426
+      "sha256": "900ce23227d4fad02a6336c5cbb379401df73b50a848e3a297015dbcaf3de839",
+      "bytes": 7511
     },
     "grimboost/model/__init__.py": {
       "sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
@@ -388,16 +401,16 @@
       "bytes": 11488
     },
     "grimboost_metadata.json": {
-      "sha256": "22ff4e8c4a90982eb89456d7a8276c5652cd05f53438a9936f250800956835ab",
-      "bytes": 851
+      "sha256": "57caa46e61fc9dc26e6288a777f5534aca33a794c7b28bde11b4d2829cc133e5",
+      "bytes": 924
     },
     "model.safetensors": {
       "sha256": "2490d853c09b808bcb1bef5db6b17a3b152790b84aa672e516241f1df9d616d7",
       "bytes": 76514696
     },
     "pyproject.toml": {
-      "sha256": "1cf6074e2390ad909629daba18771e24a3732d4678385a225b392190b0c89fa5",
-      "bytes": 618
+      "sha256": "a4817bf7f2f2531dae138b2d038dc06a6ba40975de14b64102bd9cb74aa597d0",
+      "bytes": 717
     },
     "requirements-tested.txt": {
       "sha256": "7693c8a26edc81c4258e869c233587ac4427dd45828dd453b73a61345cec1274",
@@ -496,8 +509,8 @@
       "bytes": 4437
     },
     "scripts/prepare_huggingface.py": {
-      "sha256": "6509dd83dbabd273cd038ab6130b5007ef311e080ca6f8ce55533200e38e6e96",
-      "bytes": 9302
+      "sha256": "c65fad8f8726adb56036442784f743dc0e08ead0b9afb190509993f8020fe8bf",
+      "bytes": 9504
     },
     "scripts/probe_api_draft_verification.py": {
       "sha256": "67668177054a9b85cb744959754141704dff46819eb4780bd3cc9f4529a49428",
@@ -649,5 +662,5 @@
     }
   },
   "published_url": "https://huggingface.co/Grimlabs/GrimBoost-01",
-  "visibility_at_publication": "private"
+  "visibility_at_publication": "public"
 }

scripts/prepare_huggingface.py

@@ -107,6 +107,8 @@ def main():
             destination.parent.mkdir(parents=True, exist_ok=True)
             shutil.copyfile(source, destination)
     shutil.copyfile(ROOT / 'pyproject.toml', release / 'pyproject.toml')
+    for name in ('LICENSE', 'NOTICE'):
+        shutil.copyfile(ROOT / name, release / name)
     shutil.copyfile(ROOT / 'docs/HUGGING_FACE_MODEL_CARD.md', release / 'README.md')
     requirements = []
     for package in ('torch', 'transformers', 'bitsandbytes', 'tokenizers', 'safetensors',
@@ -141,8 +143,9 @@ def main():
     files = {str(p.relative_to(release)): {'sha256': sha256(p), 'bytes': p.stat().st_size}
              for p in sorted(release.rglob('*')) if p.is_file()}
     manifest = {'format_version': 1, 'release': 'GrimBoost-19M', 'prepared_date': date.today().isoformat(),
-        'published': False, 'license_selected': False, 'source_checkpoint': metadata,
-        'validation_passed': True, 'files': files}
+        'published': False, 'license': 'Apache-2.0', 'license_holder': 'Grimlabs LLC',
+        'copyright': 'Copyright 2026 Grimlabs LLC', 'license_selected': True,
+        'source_checkpoint': metadata, 'validation_passed': True, 'files': files}
     (release / 'release_manifest.json').write_text(json.dumps(manifest, indent=2) + '\n')
     # One portable artifact; no local training checkpoint or environment files.
     archive_path = release.with_suffix('.tar.gz')