PEFT
Safetensors
English
retrieval
instructions
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  # Model Summary
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- Promptriever is a bi-encoder retrieval model that can take in natural language instructions and prompts. This version, `promptriever-llama2-7b-v1` was instruction-trained on a corpus of 490k MSMarco samples with instructions and 490k without instructions. See the [paper](todo) for more details.
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  - **Repository:** [orionw/Promptriever](https://github.com/orionw/promptriever)
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- - **Paper:** [Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models](TODO)
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  - **Instruction-Training Dataset:** [samaya-ai/msmarco-w-instructions](https://huggingface.co/datasets/samaya-ai/msmarco-w-instructions)
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  ```bibtex
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  @article{weller2024promptriever,
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- title={Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models},
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- author={Weller, Orion and Van Durme, Benjamin and Lawrie, Dawn and Paranjape, Ashwin and Zhang, Yuhao and Hessel, Jack},
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- journal={arXiv preprint TODO},
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- year={2024}
 
 
 
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  }
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  ```
 
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  # Model Summary
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+ Promptriever is a bi-encoder retrieval model that can take in natural language instructions and prompts. This version, `promptriever-llama2-7b-v1` was instruction-trained on a corpus of 490k MSMarco samples with instructions and 490k without instructions. See the [paper](https://arxiv.org/abs/2409.11136) for more details.
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  - **Repository:** [orionw/Promptriever](https://github.com/orionw/promptriever)
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+ - **Paper:** [Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models](https://arxiv.org/abs/2409.11136)
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  - **Instruction-Training Dataset:** [samaya-ai/msmarco-w-instructions](https://huggingface.co/datasets/samaya-ai/msmarco-w-instructions)
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  ```bibtex
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  @article{weller2024promptriever,
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+ title={Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models},
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+ author={Orion Weller and Benjamin Van Durme and Dawn Lawrie and Ashwin Paranjape and Yuhao Zhang and Jack Hessel},
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+ year={2024},
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+ eprint={2409.11136},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.IR},
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+ url={https://arxiv.org/abs/2409.11136},
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  }
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  ```