Instructions to use evalengine/decision-0.8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use evalengine/decision-0.8b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-0.8B") model = PeftModel.from_pretrained(base_model, "evalengine/decision-0.8b") - Notebooks
- Google Colab
- Kaggle
Download NOTICE from evalengine/decision-0.8b: direct link, hf CLI and curl.
- Browser
- Download file 2.42 kB
-
https://huggingface.co/evalengine/decision-0.8b/resolve/main/NOTICE
- Command line
-
hf download hf://evalengine/decision-0.8b/NOTICE
-
curl -L -o NOTICE https://huggingface.co/evalengine/decision-0.8b/resolve/main/NOTICE
2.42 kB
| Decision-0.8B — experimental decision adapter | |
| Copyright 2026 Eval Engine contributors | |
| New Eval Engine code and adapter modifications are licensed under Apache-2.0 | |
| to the extent of the contributors' rights. This notice is informational and | |
| does not replace any source's license or grant rights in third-party data. | |
| Base model: Qwen/Qwen3.5-0.8B, Qwen Team / Alibaba. | |
| Revision: 2fc06364715b967f1860aea9cf38778875588b17. | |
| License: Apache License 2.0, included in licenses/QWEN-LICENSE. | |
| https://huggingface.co/Qwen/Qwen3.5-0.8B | |
| The adapter changes the model through learned LoRA parameters. The base model | |
| weights are not redistributed in this adapter package. | |
| Training recipe reference: togethercomputer/tev1. | |
| Revision: 1dde7782382c9f49d627153759b8d1deab426ce0. | |
| Copyright (c) 2026 open-jev contributors. | |
| MIT license is retained in licenses/TEV-LICENSE. | |
| https://github.com/togethercomputer/tev1 | |
| Eval Engine wrote the local trainer, data additions, evaluation and packaging. | |
| The adapter's copied metadata names the public base and exact base revision; | |
| the source run and tensor bytes are preserved. | |
| Dataset acknowledgments (actual selected sources/counts are in the model card): | |
| - MultiNLI: NYU / MultiNLI authors; mixed-source corpus terms. | |
| - BoolQ: Google Research / BoolQ authors; CC-BY-SA-3.0 dataset metadata. | |
| - Banking77: PolyAI / Banking77 authors; CC-BY-4.0 dataset metadata. | |
| - CLINC150: CLINC / oos-eval authors; CC-BY-3.0. | |
| - PAWS-Wiki: Google LLC / PAWS authors; custom any-purpose dataset license; | |
| underlying Wikipedia provenance remains relevant. | |
| - VitaminC: Tal Schuster and coauthors; Wikipedia and FEVER contributors; | |
| applicable article terms with CC-BY-SA-3.0 fallback in the author data license. | |
| - HelpSteer2: NVIDIA and contributors; CC-BY-4.0. | |
| - GoEmotions: Google Research and contributors; Apache-2.0 dataset metadata; | |
| underlying Reddit-text provenance remains relevant. | |
| - Synthetic policies, routing, and fictional research taxonomy: contributors | |
| to togethercomputer/tev1, under the repository's MIT notice. | |
| AG News and SST-5, if present in a selected baseline, have unresolved source | |
| license metadata in the Tev provenance record. They are excluded from the | |
| expanded model's training but remain in some evaluation sets. The package does | |
| not contain corpus text from any of these sources. See SOURCES.json and | |
| SOURCE_REVIEW.md for exact links, revisions and remaining review questions. | |