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@@ -31,3 +31,17 @@ tokenizer = AutoTokenizer.from_pretrained(config.base_model_name_or_path)
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  model = AutoModelForCausalLM.from_pretrained(config.base_model_name_or_path)
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  model = PeftModel.from_pretrained(model, peft_model_id)
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  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  model = AutoModelForCausalLM.from_pretrained(config.base_model_name_or_path)
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  model = PeftModel.from_pretrained(model, peft_model_id)
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  ```
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+
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+ ## Citation
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+ If you use the FinBloom 7B LLM, please cite with the following BibTex entry:
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+ ```
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+ @misc{sinha2025finbloomknowledgegroundinglarge,
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+ title={FinBloom: Knowledge Grounding Large Language Model with Real-time Financial Data},
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+ author={Ankur Sinha and Chaitanya Agarwal and Pekka Malo},
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+ year={2025},
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+ eprint={2502.18471},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.IR},
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+ url={https://arxiv.org/abs/2502.18471},
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+ }
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+ ```