Upstream notices
Prepared by HeyDonto Labs. Responsible contact: Reza Nehzati, Ph.D. Upstream authors retain their respective copyrights and licenses.
Qwen base and adapters
The recorded upstream model is Qwen/Qwen3.8-27B, revision 1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0. Its configuration declares Qwen3_5ForConditionalGeneration. The pinned upstream configuration, README and LICENSE were independently retrieved and matched the metadata in the selected image. The original model card identifies Apache License 2.0. See the pinned model card and license.
The original LICENSE is included with SHA-256 bbedc3fda3305820b977265f01b8619d87570a6739de3a5582c3464840f1e57a, together with the upstream README. MODIFICATIONS.md describes the team's quantization and Dense48/Point320 adaptations. Upstream attribution remains applicable to those components.
OWLv2 detector
The auxiliary detector is google/owlv2-large-patch14-ensemble, revision 95e26936e865f87db1742128404b3c035d47d89d. Its pinned Google model card identifies Apache License 2.0 and cites the OWL-ViT/OWLv2 work. The independently retrieved card matches the cached copy, SHA-256 a2e10c3916166f08eaf2ab43ca1eb63c6116df228dea655c56e4c8e1607ecfe9.
Both verified cached weight formats and their metadata are included. MODEL_ALIASES.json records the relative cache links so that each physical file is stored once.
Runtime software
The reference image uses PyTorch, Transformers, PEFT, bitsandbytes, Accelerate, safetensors, tokenizers, Hugging Face Hub, Pillow and PyAV. EXACT_DEPENDENCIES.json records the installed versions. Each package retains its applicable license and notices. This repository provides extracted model assets and serving source, not the complete Python/CUDA environment.
The original image also contains inactive Qwen3-VL-8B weights, older adapters/checkpoints and optimizer files. ASSET_MANIFEST.json classifies these separately; they are excluded from the selected HF assets and are not active bases in the published loader.
Data-derived assets
Six training/annotation-derived prior and statistic JSON files are included with the runtime. Their source-specific restrictions are documented in DATA_PROVENANCE.md and LICENSE_PROVENANCE.md. Base-model licenses do not grant rights to private datasets. Private media and per-question evaluation records are excluded; original unit-test fixtures may remain in the preserved source.