Upstream attribution and modifications

Open-Jev-27B-v1.1 uses the text backbone of Qwen/Qwen3.8-27B, pinned to 1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0.

The included LICENSE preserves those exact Apache License 2.0 bytes and the Alibaba Cloud copyright notice. SHA-256: bbedc3fda3305820b977265f01b8619d87570a6739de3a5582c3464840f1e57a. The pinned model card and Hugging Face revision metadata separately identify Apache-2.0. The inspected upstream file inventory contains no NOTICE file.

Modifications by Open-Jev: package/checkpoint/adapter/ contains trained LoRA weights for the Qwen text backbone. package/checkpoint/head.pt is a trained scalar decision head whose lineage starts from the upstream Yes-minus-No output-embedding readout. model.json selects the pinned base and the Open-Jev decision interface; temperature.json stores calibration fitted on a separate split. These files are modified training products and are not unmodified Qwen weights. Their training-stage and initialization provenance is recorded in package/provenance.json.

The inference weight package is Apache-2.0. Original Open-Jev source code is MIT; its separate license is included as LICENSE-CODE. Base weights, tokenizer files, third-party runtime libraries and training dataset rows are not bundled here.

The pinned Qwen model card requests citation of: Qwen Team, Qwen3.8-Max: A New Bar for Coding and Cowork, August 2026, https://qwen.ai/blog?id=qwen3.8. This citation title comes from that model card and does not identify this 27B checkpoint as the hosted Qwen3.8-Max model.

No endorsement by Alibaba Cloud, the Qwen Team or TypeSafe is implied.