Prepare Winnow-12B private release documentation

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NOTICE

@@ -0,0 +1,23 @@
+Winnow-12B
+
+Base model: Gemma 4 12B by Google DeepMind
+Source: https://huggingface.co/google/gemma-4-12B-it
+Upstream license: Apache License, Version 2.0
+License reference: https://ai.google.dev/gemma/docs/gemma_4_license
+
+Winnow modifications are developed by EldanRing. This repository currently
+contains release documentation only. The planned released weights will modify
+the base through task-specific LoRA fine-tuning and adapter merging. The Q8_0
+GGUF will additionally be converted and quantized from the merged weights.
+The final artifact manifest will identify the exact source revision and modified
+files once checkpoint selection and export are complete.
+
+This file records Winnow's attribution and planned modifications. It is not a
+claim that the upstream model distribution supplied a NOTICE file. Any applicable
+upstream notices accompanying the selected source files will also be preserved.
+
+The separate Winnow inference code builds on llama.cpp by Georgi Gerganov and
+contributors under the MIT license. That code repository contains the applicable
+copyright and license text. No llama.cpp source or binary is included here.
+
+Winnow is an independent project; no upstream endorsement is implied.

README.md

@@ -1,6 +1,7 @@
 ---
 base_model: google/gemma-4-12B-it
 base_model_relation: finetune
+license: apache-2.0
 pipeline_tag: text-generation
 tags:
   - winnow
@@ -15,7 +16,7 @@ tags:
 **Private release draft. Final checkpoint selection and weight export are pending.**
 This repository currently contains release documentation, not runnable model weights.
 
-Winnow-12B is a Gemma 4 12B fine-tune for local typed decisions. The accompanying
+Winnow-12B is a LoRA fine-tune of Google DeepMind's Gemma 4 12B for local typed decisions. The accompanying
 Winnow inference server combines a Jev-style decision API with ordinary
 OpenAI-style chat and vision chat, using the same loaded model.
 
@@ -80,6 +81,19 @@ long-context reasoning quality. Mixed chat and decisions share GPU resources;
 full-capacity requests may queue or switch contexts. The decision API follows
 Jev-style typed requests, without claiming identical hosted-service behavior.
 
-Model/projector license metadata and notices will be verified against the final
-source files before uploading weights. The inference code's license does not
-replace the model's terms.
+## Credits and licensing
+
+- **Base model:** Google DeepMind's [Gemma 4 12B](https://huggingface.co/google/gemma-4-12B-it),
+  released under [Apache 2.0](https://ai.google.dev/gemma/docs/gemma_4_license).
+  Winnow adds task-specific LoRA post-training; the selected update will be merged
+  into BF16 and converted to Q8 GGUF. See [LICENSE](LICENSE) and [NOTICE](NOTICE).
+- **Inference runtime:** [llama.cpp](https://github.com/ggml-org/llama.cpp) by
+  Georgi Gerganov and contributors, under the MIT license. The separate inference
+  repository preserves its license and documents the Winnow modifications.
+- **Winnow:** fine-tuning, evaluation and the typed-decision integration by EldanRing.
+
+This is an independent derivative, not an official Google or llama.cpp release.
+The final artifact manifest will identify modified weight files and their source
+revision. Projector provenance and any additional source notices will be checked
+before uploading the weights. The inference code's MIT license is separate from
+the model's Apache 2.0 license.

release-manifest.json

@@ -8,7 +8,7 @@
   "base_revision": null,
   "selected_checkpoint": null,
   "training": null,
-  "license": null,
+  "license": "apache-2.0",
   "inference_repository": null,
   "inference_revision": null,
   "conversion_revision": null,