Instructions to use SearchJev/SearchJev-0.8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SearchJev/SearchJev-0.8B with PEFT:
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- Notebooks
- Google Colab
- Kaggle
Add pipeline tag and paper link
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by nielsr HF Staff - opened
README.md
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---
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license: apache-2.0
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base_model: Qwen/Qwen3.5-0.8B
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language:
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- zh
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- en
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tags:
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- lora
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- searchjev
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- search-agent
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- system-1
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- calibration
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datasets:
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- SearchJev/search_jev_unified_v2_release_20260928
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---
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# SearchJev-0.8B
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[Qwen/Qwen3.5-0.8B](https://huggingface.co/Qwen/Qwen3.5-0.8B), together with its per-question-type
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temperatures and option-label alphabet.
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- Code (training and inference): <https://github.com/EvoScientist/Search_Jev>
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- Training data: [SearchDecision-Bench](https://huggingface.co/datasets/SearchJev/search_jev_unified_v2_release_20260928)
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- Training logs: [W&B report](https://forge.coreweave.com/wandb/R-DTeam/Search_JEV/reports/Search_Jev-Report--VmlldzoxODAzMTUwMw)
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- Paper: *SearchJev: A Fast and Calibrated System-1 Model for Search Agents*
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## Usage
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## License
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Apache-2.0, like the Qwen3.5 base model.
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---
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base_model: Qwen/Qwen3.5-0.8B
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datasets:
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- SearchJev/search_jev_unified_v2_release_20260928
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language:
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- zh
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- en
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library_name: peft
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license: apache-2.0
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pipeline_tag: text-classification
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tags:
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- lora
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- searchjev
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- search-agent
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- system-1
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- calibration
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---
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# SearchJev-0.8B
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[Qwen/Qwen3.5-0.8B](https://huggingface.co/Qwen/Qwen3.5-0.8B), together with its per-question-type
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temperatures and option-label alphabet.
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- Paper: [SearchJev: A Fast and Calibrated System-1 Model for Search Agents](https://huggingface.co/papers/2610.05107)
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- Code (training and inference): <https://github.com/EvoScientist/Search_Jev>
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- Training data: [SearchDecision-Bench](https://huggingface.co/datasets/SearchJev/search_jev_unified_v2_release_20260928)
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- Training logs: [W&B report](https://forge.coreweave.com/wandb/R-DTeam/Search_JEV/reports/Search_Jev-Report--VmlldzoxODAzMTUwMw)
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## Usage
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## License
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Apache-2.0, like the Qwen3.5 base model.
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