Update pipeline tag to text-generation and add paper link (#1)
Browse files- Update pipeline tag to text-generation and add paper link (349c13599f0a59f13e51f29abfe66768adf5fff6)
Co-authored-by: Niels Rogge <[email protected]>
README.md
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---
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-
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datasets:
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- Akhil-Theerthala/Kuvera-PersonalFinance-V2.1
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language:
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- en
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base_model:
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- Qwen/Qwen3-8B
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pipeline_tag: question-answering
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library_name: transformers
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tags:
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- finance
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- personal_finance
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# Kuvera 8B
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This model is a fine-tuned version of `Qwen/Qwen3-8B` designed to answer personal finance queries. It has been trained on a specialized dataset of real Reddit queries with synthetically curated responses, focusing on understanding both the financial necessities and the psychological context of the user.
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## Model Description
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---
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## Citation
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```
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@
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doi = { 10.57967/hf/6201 },
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publisher = { Hugging Face }
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}
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```
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---
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base_model:
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- Qwen/Qwen3-8B
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datasets:
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- Akhil-Theerthala/Kuvera-PersonalFinance-V2.1
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language:
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- en
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library_name: transformers
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license: mit
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pipeline_tag: text-generation
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tags:
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- finance
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- personal_finance
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# Kuvera 8B
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This model is a fine-tuned version of `Qwen/Qwen3-8B` designed to answer personal finance queries, as presented in the paper [Synthesizing Behaviorally-Grounded Reasoning Chains: A Data-Generation Framework for Personal Finance LLMs](https://huggingface.co/papers/2509.14180). It has been trained on a specialized dataset of real Reddit queries with synthetically curated responses, focusing on understanding both the financial necessities and the psychological context of the user.
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## Model Description
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---
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## Citation
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```bibtex
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@article{theerthala2025synthesizing,
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title={Synthesizing Behaviorally-Grounded Reasoning Chains: A Data-Generation Framework for Personal Finance LLMs},
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author={Theerthala, Akhil and others},
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journal={arXiv preprint arXiv:2509.14180},
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year={2025}
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}
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```
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