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Akshully-InnOcent/Saul-7B-Instruct-v1-GGUF
Saul-7B-Instruct-v1-GGUF is a machine learning model from Akshully-InnOcent. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Legal domain language model for case analysis and legal document processing.
Downloads · 30 days
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18% of all-time downloads
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.gguf4.4 GB · 100%
From the Hugging Face model README
Legal domain language model for case analysis and legal document processing.
| File | Size | Description |
|---|---|---|
Saul-Instruct-v1.Q4_K_M.gguf | 4.37 GB | 4-bit quantized model (recommended) |
.gguf filellama-2./main -ngl 35 -m Saul-Instruct-v1.Q4_K_M.gguf --color -c 32768 --temp 0.7 --repeat_penalty 1.1
from llama_cpp import Llama
llm = Llama(
model_path="./Saul-Instruct-v1.Q4_K_M.gguf",
n_ctx=32768,
n_threads=8,
n_gpu_layers=35
)
@misc{colombo2024saullm7b,
title={SaulLM-7B: A pioneering Large Language Model for Law},
author={Pierre Colombo and Telmo Pessoa Pires and Malik Boudiaf and Dominic Culver and Rui Melo and Caio Corro and Andre F. T. Martins and Fabrizio Esposito and Vera Lúcia Raposo and Sofia Morgado and Michael Desa},
year={2024},
eprint={2403.03883},
archivePrefix={arXiv},
primaryClass={cs.CL}
}