Computer Science > Computation and Language
arXiv:2403.07088 (cs)
[Submitted on 11 Mar 2024 (v1), last revised 5 Sep 2024 (this version, v6)]
Title:SPA: Towards A Computational Friendly Cloud-Base and On-Devices Collaboration Seq2seq Personalized Generation with Casual Inference
Authors:Yanming Liu,Xinyue Peng,Shi Bo,Ningjing Sang,Yafeng Yan,Xiaolan Ke,Zhiting Zheng,Shaobo Liu,Songhang Deng,Jiannan Cao,Le Dai,Xingzu Liu,Ruilin Nong,Weihao Liu
View a PDF of the paper titled SPA: Towards A Computational Friendly Cloud-Base and On-Devices Collaboration Seq2seq Personalized Generation with Casual Inference, by Yanming Liu and 12 other authors
View PDFHTML (experimental)Abstract:Large language models(LLMs) have shown its outperforming ability on various tasks and question answering. However, LLMs require substantial memory storage on low-resource devices. More critically, the computational speed on these devices is also severely limited. In this paper, we propose SPA(Side Plugin Adaption), a lightweight architecture for fast on-devices inference on the constraints of strict on-devices computation and memory constraints. Compared with other on-devices seq2seq generation, SPA could make a fast and stable inference on low-resource constraints, allowing it to obtain cost effiency. Our method establish an interaction between a pretrained LLMs on-cloud and additive parameters on-devices, which could provide the knowledge on both pretrained LLMs and featured personal feature. Further more, SPA provides a framework to keep feature-base parameters on low computational devices while leave the parameters containing general information on the high computational devices.
| Comments: | 12 pages, third version of SPA(Side Plugin Adaption) |
| Subjects: | Computation and Language (cs.CL) |
| Cite as: | arXiv:2403.07088 [cs.CL] |
| (orarXiv:2403.07088v6 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2403.07088 arXiv-issued DOI via DataCite |
Submission history
From: Yanming Liu [view email][v1] Mon, 11 Mar 2024 18:26:02 UTC (1,663 KB)
[v2] Sat, 25 May 2024 11:19:31 UTC (910 KB)
[v3] Thu, 30 May 2024 05:21:23 UTC (910 KB)
[v4] Sun, 16 Jun 2024 19:27:11 UTC (910 KB)
[v5] Thu, 20 Jun 2024 06:01:25 UTC (590 KB)
[v6] Thu, 5 Sep 2024 18:26:56 UTC (1,177 KB)
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View a PDF of the paper titled SPA: Towards A Computational Friendly Cloud-Base and On-Devices Collaboration Seq2seq Personalized Generation with Casual Inference, by Yanming Liu and 12 other authors
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