Instructions to use ZefanCai/Open-Jev-27B-v1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ZefanCai/Open-Jev-27B-v1.1 with PEFT:
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- Notebooks
- Google Colab
- Kaggle
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Download UPSTREAM.md from ZefanCai/Open-Jev-27B-v1.1: direct link, hf CLI and curl.
- Browser
- Download file 1.96 kB
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https://huggingface.co/ZefanCai/Open-Jev-27B-v1.1/resolve/main/UPSTREAM.md
- Command line
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hf download hf://ZefanCai/Open-Jev-27B-v1.1/UPSTREAM.md
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curl -L -o UPSTREAM.md https://huggingface.co/ZefanCai/Open-Jev-27B-v1.1/resolve/main/UPSTREAM.md
1.96 kB
| # Upstream attribution and modifications | |
| Copyright 2026 Alibaba Cloud. | |
| Open-Jev-27B-v1.1 uses the text backbone of **Qwen/Qwen3.8-27B**, pinned to | |
| `1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0`. | |
| - [Pinned upstream model card](https://huggingface.co/Qwen/Qwen3.8-27B/blob/1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0/README.md) | |
| - [Pinned upstream license](https://huggingface.co/Qwen/Qwen3.8-27B/blob/1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0/LICENSE) | |
| 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. | |