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SeaLLMs/SeaLLM-7B-v2.5-mlx-quantized
SeaLLM-7B-v2.5-mlx-quantized is a text generation model from SeaLLMs. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as other.
<p align="center" <a href="https://damo-nlp-sg.github.io/SeaLLMs/" target="blank" rel="noopener"Technical Blog</a <a href="https://huggingface.co/SeaLLMs/SeaLLM-7B-v2.5" target="blank" rel="noopener" 🤗 T…
Downloads · 30 days
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.safetensors5.9 GB · 100%
How the weights are stored.
F161B · 52%
From the Hugging Face model README
We introduce SeaLLM-7B-v2.5, the state-of-the-art multilingual LLM for Southeast Asian (SEA) languages 🇬🇧 🇨🇳 🇻🇳 🇮🇩 🇹🇭 🇲🇾 🇰🇭 🇱🇦 🇲🇲 🇵🇭. It is the most significant upgrade since SeaLLM-13B, with half the size, outperforming performance across diverse multilingual tasks, from world knowledge, math reasoning, instruction following, etc.
This is Q4 quantized version for MLX for apple silicon. Checkout SeaLLM-7B-v2.5 page for more details.
If you find our project useful, we hope you would kindly star our repo and cite our work as follows: Corresponding Author: [email protected]
Author list and order will change!
* and ^ are equal contributions.@article{damonlpsg2023seallm,
author = {Xuan-Phi Nguyen*, Wenxuan Zhang*, Xin Li*, Mahani Aljunied*, Weiwen Xu, Hou Pong Chan,
Zhiqiang Hu, Chenhui Shen^, Yew Ken Chia^, Xingxuan Li, Jianyu Wang,
Qingyu Tan, Liying Cheng, Guanzheng Chen, Yue Deng, Sen Yang,
Chaoqun Liu, Hang Zhang, Lidong Bing},
title = {SeaLLMs - Large Language Models for Southeast Asia},
year = 2023,
Eprint = {arXiv:2312.00738},
}