Text Generation
Transformers
PyTorch
Safetensors
English
llama
finance
Eval Results
text-generation-inference
Inference Endpoints
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@@ -183,16 +183,6 @@ To easily reproduce our results, we have uploaded the filled-in zero/few-shot in
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  **Note:** those filled-in instructions are specifically tailored for models before alignment and do NOT fit for the specific data format required for chat models.
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- ## Citation
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- If you find our work helpful, please cite us:
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- ```bibtex
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- @article{adaptllm,
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- title={Adapting large language models via reading comprehension},
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- author={Cheng, Daixuan and Huang, Shaohan and Wei, Furu},
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- journal={arXiv preprint arXiv:2309.09530},
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- year={2023}
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- }
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- ```
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  # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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  Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_AdaptLLM__finance-chat)
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@@ -206,3 +196,15 @@ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-le
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  |Winogrande (5-shot) |75.69|
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  |GSM8k (5-shot) |18.80|
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  **Note:** those filled-in instructions are specifically tailored for models before alignment and do NOT fit for the specific data format required for chat models.
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  # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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  Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_AdaptLLM__finance-chat)
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  |Winogrande (5-shot) |75.69|
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  |GSM8k (5-shot) |18.80|
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+ ## Citation
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+ If you find our work helpful, please cite us:
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+ ```bibtex
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+ @inproceedings{
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+ cheng2024adapting,
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+ title={Adapting Large Language Models via Reading Comprehension},
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+ author={Daixuan Cheng and Shaohan Huang and Furu Wei},
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+ booktitle={The Twelfth International Conference on Learning Representations},
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+ year={2024},
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+ url={https://openreview.net/forum?id=y886UXPEZ0}
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+ }
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+ ```