Decision Kai
Copyright (c) 2026 Decision Kai contributors

The accompanying Apache-2.0 LICENSE applies to the project's original code,
documentation, and new model-weight contributions. It does not replace
third-party copyrights, licenses, or applicable source-material terms.
Upstream components and remaining provenance boundaries are identified below.

BASE ENCODER AND MODEL WEIGHTS

Decision Kai was developed from Vela-1.0-Encoder-307M, published by the
vLLM Semantic Router / Vela contributors:
https://huggingface.co/vllm-sr/Vela-1.0-Encoder-307M
Revision: fe9ccc074b781bc0e2e13c2c8d26f2640410636a
The pinned publisher model card declares the MIT license and identifies
jhu-clsp/mmBERT-base as its base model. Decision adds type-specific encoder
paths, candidate interaction/readout layers, packing and training changes.
No Vela, mmBERT, or other third-party copyright is transferred to Decision.

mmBERT is by Marc Marone, Orion Weller, William Fleshman, Eugene Yang,
Dawn Lawrie, and Benjamin Van Durme. Its official model card declares MIT:
https://huggingface.co/jhu-clsp/mmBERT-base
Model-card revision inspected: c5955035435e2bf121cde7f3c8863ef52ff35d82
This revision identifies the license evidence; it is not a claim that Vela's
historical training ancestry was reconstructed to that mmBERT checkpoint.
Reference: mmBERT: A Modern Multilingual Encoder with Annealed Language
Learning (2025), https://arxiv.org/abs/2509.06888

The upstream MIT license text is retained in LICENSES/Upstream-MIT.txt.
The original publisher cards and their hashes are retained in
source-metadata/MODEL_LICENSE_METADATA.json. Neither inspected model
snapshot supplies a separate upstream LICENSE file or copyright notice.

MODERNBERT / TRANSFORMERS CODE

Copyright 2018- The Hugging Face team. All rights reserved.
Copyright 2024 Answer.AI, LightOn, and contributors, and the HuggingFace Inc.
team. All rights reserved.

The ModernBERT implementation used by Decision is from Transformers 4.57.6,
commit 753d61104116eefc8ffc977327b441ee0c8d599f, under Apache License 2.0.
The complete upstream license is retained in
LICENSES/Transformers-Apache-2.0.txt. The original ModernBERT copyright
header and exact source references are retained under source-metadata/.

native/policy/reference/modernbert_sdpa_layout.py adapts the upstream
ModernBERT attention computation: it makes Q/K/V contiguous on the guarded
ROCm efficient-SDPA path and binds the wrapper locally. The original path
is retained outside that guard. This is a project modification, not an
unmodified upstream Transformers file. The adapted upstream portions
remain subject to Apache-2.0; the root Apache-2.0 LICENSE does not override them.

TOKENIZER PROVENANCE BOUNDARY

Decision retains the tokenizer payload inherited through Vela/mmBERT.
The mmBERT authors identify its tokenizer as Gemma 2; their training
configuration names google/gemma-2-9b. Google publishes that original
repository under Gemma terms, whereas the inspected mmBERT and Vela model
cards declare MIT for their repositories without a tokenizer-specific
notice or exception. The exact applicable scope for these inherited
tokenizer files is not established by a model-card tag alone.

This notice therefore does not independently relicense tokenizer.json,
tokenizer_config.json, or special_tokens_map.json as Decision-created Apache-2.0
material, and does not assert that Gemma terms govern Decision's independently
trained encoder weights. See LICENSING_STATUS.md for the exact affected
files and retained third-party conditions. The project license does not
relicense the inherited tokenizer.

TRAINING SOURCES AND RUNTIME DEPENDENCIES

Training-source credits and the changes made in constructing typed tasks
are listed in TRAINING_ATTRIBUTION.md. No training or evaluation examples,
Laya model weights, or Laya SDK source files are included in this package.
The root LICENSE does not relicense the underlying datasets or waive their
attribution, share-alike, or other applicable conditions.

PyTorch, Transformers, tokenizers, safetensors, NumPy and their dependencies
are installed separately. Their distributions retain their own licenses
and third-party notices. This package does not substitute its Apache-2.0 LICENSE
for those dependency licenses.

This NOTICE is informational and does not alter any applicable license.