SaulLM-7B: A pioneering Large Language Model for Law
In this paper, we introduce SaulLM-7B, a large language model (LLM) tailored
for the legal domain. With 7 billion parameters, SaulLM-7B is the first LLM
designed explicitly for legal text comprehension and generation. Leveraging the
Mistral 7B architecture as its foundation, SaulLM-7B is trained on an English
legal corpus of over 30 billion tokens. SaulLM-7B exhibits state-of-the-art
proficiency in understanding and processing legal documents. Additionally, we
present a novel instructional fine-tuning method that leverages legal datasets
to further enhance SaulLM-7B's performance in legal tasks. SaulLM-7B is
released under the CC-BY-SA-4.0 License.
65e953938106a03c253fb6fb
Pierre Colombo
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2024-03-07T09:45:43.650Z
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Colombo
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PierreColombo
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Telmo Pessoa Pires
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Malik Boudiaf
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2024-03-07T09:46:10.972Z
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Malik Boudiaf
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Dominic Culver
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2024-03-07T09:46:17.807Z
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Dominic Culver
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CWcx
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Rui Melo
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2024-03-07T09:46:32.228Z
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Rui Melo
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Caio Corro
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Andre F. T. Martins
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2024-03-07T09:47:28.649Z
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Andre Martins
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Fabrizio Esposito
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Vera Lúcia Raposo
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2024-03-07T09:47:45.616Z
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Vera Lúcia Raposo
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Sofia Morgado
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2024-03-07T09:47:51.378Z
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Sofia Morgado
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Michael Desa
admin_assigned
2024-03-07T09:48:05.022Z
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Michael Desa
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desa
SaulLM-7B: A pioneering Large Language Model for Law
In this paper, we introduce SaulLM-7B, a large language model (LLM) tailored
for the legal domain. With 7 billion parameters, SaulLM-7B is the first LLM
designed explicitly for legal text comprehension and generation. Leveraging the
Mistral 7B architecture as its foundation, SaulLM-7B is trained on an English
legal corpus of over 30 billion tokens. SaulLM-7B exhibits state-of-the-art
proficiency in understanding and processing legal documents. Additionally, we
present a novel instructional fine-tuning method that leverages legal datasets
to further enhance SaulLM-7B's performance in legal tasks. SaulLM-7B is
released under the CC-BY-SA-4.0 License.
SaulLM-7B, a large language model with 7 billion parameters, excels in legal text comprehension and generation using instructional fine-tuning on a legal corpus.
large language model legal domain Mistral 7B architecture English legal corpus instructional fine-tuning legal datasets