Add pipeline tag and Github link

README.md

@@ -5,7 +5,9 @@ language:
 library_name: transformers
 license: mit
 quantized_by: PLM-Team
+pipeline_tag: text-generation
 ---
+
 <center>
 <img src="https://www.cdeng.net/plm/plm_logo.png" alt="k2-logo" width="200"/>
 <h2>🖲️ PLM: Efficient Peripheral Language Models Hardware-Co-Designed for Ubiquitous Computing</h2>
@@ -24,6 +26,7 @@ quantized_by: PLM-Team
 
 The PLM (Peripheral Language Model) series introduces a novel model architecture to peripheral computing by delivering powerful language capabilities within the constraints of resource-limited devices. Through modeling and system co-design strategy, PLM optimizes model performance and fits edge system requirements, PLM employs **Multi-head Latent Attention** and **squared ReLU** activation to achieve sparsity, significantly reducing memory footprint and computational demands. Coupled with a meticulously crafted training regimen using curated datasets and a Warmup-Stable-Decay-Constant learning rate scheduler, PLM demonstrates superior performance compared to existing small language models, all while maintaining the lowest activated parameters, making it ideally suited for deployment on diverse peripheral platforms like mobile phones and Raspberry Pis.
 
+Code: https://github.com/plm-team/PLM
 
 **Here we present the static quants for identified model of PLM-1.8B-Instruct**