SaulLM-7B: A pioneering Large Language Model for Law
It addresses the need for specialized AI tools in law by providing a pioneering model for legal tasks, though it builds on existing architecture.
The paper introduces SaulLM-7B, a 7-billion-parameter large language model tailored for the legal domain, trained on over 30 billion tokens of English legal corpus, achieving state-of-the-art proficiency in legal text comprehension and generation.
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 MIT License.