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posts in AI Paper Summary" class="entry-crumb" href="https://www.marktechpost.com/category/tech-news/ai-paper-summary/">AI Paper Summary</a></span> <i class="td-icon-right td-bread-sep td-bred-no-url-last"></i> <span class="td-bred-no-url-last">Researchers from MBZUAI and CMU Introduce Bi-Mamba: A Scalable and Efficient 1-bit...</span></div></div> <div class="td-pb-row"> <div class="td-pb-span8 td-main-content" role="main"> <div class="td-ss-main-content"> <div class='ai-viewports ai-viewport-1 ai-insert-1-67476117' style='margin: 8px 0; clear: both;' data-insertion-position='prepend' data-selector='.ai-insert-1-67476117' data-insertion-no-dbg data-code='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' data-block='1'></div> <article id="post-65514" class="post-65514 post type-post status-publish format-standard has-post-thumbnail category-ai-paper-summary category-ai-shorts category-applications category-artificial-intelligence category-carnegie-mellon-university category-editors-pick category-language-model category-large-language-model category-machine-learning category-staff category-tech-news category-technology category-university-research" itemscope itemtype="https://schema.org/Article"> <div class="td-post-header"> <header class="td-post-title"> <h1 class="entry-title">Researchers from MBZUAI and CMU Introduce Bi-Mamba: A Scalable and Efficient 1-bit Mamba Architecture Designed for Large Language Models in Multiple Sizes (780M, 1.3B, and 2.7B Parameters)</h1> <div class="td-module-meta-info"> <div class="td-post-author-name"><div class="td-author-by">By</div> <a href="https://www.marktechpost.com/author/6flvq/">Asif Razzaq</a><div class="td-author-line"> - </div> </div> <span class="td-post-date"><time class="entry-date updated td-module-date" datetime="2024-11-23T10:24:13-08:00" >November 23, 2024</time></span> </div> </header> </div> <div class="td-post-content tagdiv-type"> <div class="swp_social_panel swp_horizontal_panel swp_flat_fresh swp_default_full_color 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href="https://twitter.com/intent/tweet?text=Researchers+from+MBZUAI+and+CMU+Introduce+Bi-Mamba%3A+A+Scalable+and+Efficient+1-bit+Mamba+Architecture+Designed+for+Large+Language+Models+in+Multiple+Sizes+%28780M%2C+1.3B%2C+and+2.7B+Parameters%29&url=https%3A%2F%2Fwww.marktechpost.com%2F2024%2F11%2F23%2Fresearchers-from-mbzuai-and-cmu-introduce-bi-mamba-a-scalable-and-efficient-1-bit-mamba-architecture-designed-for-large-language-models-in-multiple-sizes-780m-1-3b-and-2-7b-parameters%2F&via=Marktechpost" data-link="https://twitter.com/intent/tweet?text=Researchers+from+MBZUAI+and+CMU+Introduce+Bi-Mamba%3A+A+Scalable+and+Efficient+1-bit+Mamba+Architecture+Designed+for+Large+Language+Models+in+Multiple+Sizes+%28780M%2C+1.3B%2C+and+2.7B+Parameters%29&url=https%3A%2F%2Fwww.marktechpost.com%2F2024%2F11%2F23%2Fresearchers-from-mbzuai-and-cmu-introduce-bi-mamba-a-scalable-and-efficient-1-bit-mamba-architecture-designed-for-large-language-models-in-multiple-sizes-780m-1-3b-and-2-7b-parameters%2F&via=Marktechpost"><span class="swp_count swp_hide"><span class="iconFiller"><span class="spaceManWilly"><i class="sw swp_twitter_icon"></i><span class="swp_share">Tweet</span></span></span></span></a></div><div class="nc_tweetContainer swp_share_button total_shares total_sharesalt" ><span class="swp_count ">0 <span class="swp_label">Shares</span></span></div></div> <p>The evolution of machine learning has brought significant advancements in language models, which are foundational to tasks like text generation and question-answering. Among these, transformers and state-space models (SSMs) are pivotal, yet their efficiency when handling long sequences has posed challenges. As sequence length increases, traditional transformers suffer from quadratic complexity, leading to prohibitive memory and computational demands. To address these issues, researchers and organizations have explored alternative architectures, such as Mamba, a state-space model with linear complexity that provides scalability and efficiency for long-context tasks.</p> <p>Large-scale language models often face challenges in managing computational costs, especially as they scale up to billions of parameters. For instance, while Mamba offers linear complexity advantages, its increasing size results in significant energy consumption and training costs, making deployment difficult. These limitations are exacerbated by the high resource demands of models like GPT-based architectures, which are traditionally trained and inferred at full precision (e.g., FP16 or BF16). Moreover, as demand grows for efficient, scalable AI, exploring extreme quantization methods has become critical to ensure practical deployment in resource-constrained settings.</p><div class='ai-viewports ai-viewport-1 ai-viewport-3 ai-insert-15-33487953' style='margin: 8px 0; clear: both;' data-insertion-position='prepend' data-selector='.ai-insert-15-33487953' data-insertion-no-dbg data-code='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' data-block='15'></div> <p>Researchers have explored techniques such as pruning, low-bit quantization, and key-value cache optimizations to mitigate these challenges. Quantization, which reduces the bit-width of model weights, has shown promising results by compressing models without substantial performance degradation. However, most of these efforts focus on transformer-based models. The behavior of SSMs, particularly Mamba, under extreme quantization still needs to be explored, creating a gap in developing scalable and efficient state-space models for real-world applications.</p> <p>Researchers from the Mohamed bin Zayed University of Artificial Intelligence and Carnegie Mellon University introduced <strong>Bi-Mamba</strong>, a 1-bit scalable Mamba architecture designed for low-memory, high-efficiency scenarios. This innovative approach applies binarization-aware training to Mamba’s state-space framework, enabling extreme quantization while maintaining competitive performance. Bi-Mamba was developed in model sizes of 780 million, 1.3 billion, and 2.7 billion parameters and trained from scratch using an autoregressive distillation loss. The model uses high-precision teacher models such as LLaMA2-7B to guide training, ensuring robust performance.</p> <p>The architecture of Bi-Mamba employs selective binarization of its linear modules while retaining other components at full precision to balance efficiency and performance. Input and output projections are binarized using FBI-Linear modules, which integrate learnable scaling and shifting factors for optimal weight representation. This ensures that binarized parameters align closely with their full-precision counterparts. The model’s training utilized 32 NVIDIA A100 GPUs to process large datasets, including 1.26 trillion tokens from sources like RefinedWeb and StarCoder.</p><div class='ai-viewports ai-viewport-1 ai-viewport-3 ai-insert-16-51754834' style='margin: 8px 0; clear: both;' data-insertion-position='prepend' data-selector='.ai-insert-16-51754834' data-insertion-no-dbg data-code='PGRpdiBjbGFzcz0nY29kZS1ibG9jayBjb2RlLWJsb2NrLTE2JyBzdHlsZT0nbWFyZ2luOiA4cHggMDsgY2xlYXI6IGJvdGg7Jz4KPGEgaHJlZj0iaHR0cHM6Ly9odWJzLmxpL1EwMlkzOXNoMCI+IPCfp7Xwn6e1IFtEb3dubG9hZF0gRXZhbHVhdGlvbiBvZiBMYXJnZSBMYW5ndWFnZSBNb2RlbCBWdWxuZXJhYmlsaXRpZXMgUmVwb3J0IChQcm9tb3RlZCk8L2E+PC9kaXY+Cg==' data-block='16'></div> <div class="wp-block-image"> <figure class="aligncenter is-resized"><img decoding="async" src="https://lh7-rt.googleusercontent.com/docsz/AD_4nXdM2ns2xw0k0Y0KvrXlFCFpaUWQgI526UDM9mivZ5_wK3gb4CD5dsRx3Nr4HCm2gJkxaKeDGe_dMbzZ1sHGOkPVZ9BZ-xmwOnw4gYahVCGlR6VP80ymdPiYy9JJ0NJ5Y2bJEPbWxg?key=jTc1bX7Bx2jAeD3FFLHD0Ifc" alt="" style="width:712px;height:auto"/></figure></div> <p>Extensive experiments demonstrated Bi-Mamba’s competitive edge over existing models. On datasets like Wiki2, PTB, and C4, Bi-Mamba achieved perplexity scores of 14.2, 34.4, and 15.0, significantly outperforming alternatives like GPTQ and Bi-LLM, which exhibited perplexities up to 10× higher. Also, Bi-Mamba achieved zero-shot accuracies of 44.5% for the 780M model, 49.3% for the 2.7B model, and 46.7% for the 1.3B variant on downstream tasks such as BoolQ and HellaSwag. This demonstrated its robustness across various tasks and datasets while maintaining energy-efficient performance.</p> <div class="wp-block-image"> <figure class="aligncenter is-resized"><img decoding="async" src="https://lh7-rt.googleusercontent.com/docsz/AD_4nXebOT1Sky3eUh5Ch4tM0dHo-77uBxwQBur1TaKPaKAoAwv-ZQjIGUXLfYs8SM1yegBtiqlNMoTaTXfKZmAe2kWrUoRnLtnlpJSjtTJi75CvegwN0S5ndxzOcLsCq3N_95LWbHW1Sw?key=jTc1bX7Bx2jAeD3FFLHD0Ifc" alt="" style="width:726px;height:auto"/></figure></div> <p><strong>The study’s findings highlight several key takeaways:</strong></p> <ul> <li><strong>Efficiency Gains:</strong> Bi-Mamba achieves over 80% storage compression compared to full-precision models, reducing storage size from 5.03GB to 0.55GB for the 2.7B model.</li> <li><strong>Performance Consistency:</strong> The model retains comparable performance to full-precision counterparts with significantly reduced memory requirements.</li> <li><strong>Scalability:</strong> Bi-Mamba’s architecture enables effective training across multiple model sizes, with competitive results even for the largest variants.</li> <li><strong>Robustness in Binarization:</strong> By selectively binarizing linear modules, Bi-Mamba avoids the performance degradation typically associated with naive binarization methods.</li> </ul> <div class="wp-block-image"> <figure class="aligncenter size-large is-resized"><img fetchpriority="high" decoding="async" width="1024" height="423" data-attachment-id="65516" data-permalink="https://www.marktechpost.com/2024/11/23/researchers-from-mbzuai-and-cmu-introduce-bi-mamba-a-scalable-and-efficient-1-bit-mamba-architecture-designed-for-large-language-models-in-multiple-sizes-780m-1-3b-and-2-7b-parameters/screenshot-2024-11-23-at-10-20-03-am-1/" data-orig-file="https://www.marktechpost.com/wp-content/uploads/2024/11/Screenshot-2024-11-23-at-10.20.03 AM-1.png" data-orig-size="1298,536" data-comments-opened="1" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="Screenshot-2024-11-23-at-10.20.03 AM-1" data-image-description="" data-image-caption="" data-medium-file="https://www.marktechpost.com/wp-content/uploads/2024/11/Screenshot-2024-11-23-at-10.20.03 AM-1-300x124.png" data-large-file="https://www.marktechpost.com/wp-content/uploads/2024/11/Screenshot-2024-11-23-at-10.20.03 AM-1-1024x423.png" src="https://www.marktechpost.com/wp-content/uploads/2024/11/Screenshot-2024-11-23-at-10.20.03 AM-1-1024x423.png" alt="" class="wp-image-65516" style="width:732px;height:auto" srcset="https://www.marktechpost.com/wp-content/uploads/2024/11/Screenshot-2024-11-23-at-10.20.03 AM-1-1024x423.png 1024w, https://www.marktechpost.com/wp-content/uploads/2024/11/Screenshot-2024-11-23-at-10.20.03 AM-1-300x124.png 300w, https://www.marktechpost.com/wp-content/uploads/2024/11/Screenshot-2024-11-23-at-10.20.03 AM-1-768x317.png 768w, https://www.marktechpost.com/wp-content/uploads/2024/11/Screenshot-2024-11-23-at-10.20.03 AM-1-1017x420.png 1017w, https://www.marktechpost.com/wp-content/uploads/2024/11/Screenshot-2024-11-23-at-10.20.03 AM-1-150x62.png 150w, https://www.marktechpost.com/wp-content/uploads/2024/11/Screenshot-2024-11-23-at-10.20.03 AM-1-696x287.png 696w, https://www.marktechpost.com/wp-content/uploads/2024/11/Screenshot-2024-11-23-at-10.20.03 AM-1-1068x441.png 1068w, https://www.marktechpost.com/wp-content/uploads/2024/11/Screenshot-2024-11-23-at-10.20.03 AM-1.png 1298w" sizes="(max-width: 1024px) 100vw, 1024px" /></figure></div> <p>In conclusion, Bi-Mamba represents a significant step forward in addressing the dual challenges of scalability and efficiency in large language models. By leveraging binarization-aware training and focusing on key architectural optimizations, the researchers demonstrated that state-space models could achieve high performance under extreme quantization. This innovation enhances energy efficiency, reduces resource consumption, and sets the stage for future developments in low-bit AI systems, opening avenues for deploying large-scale models in practical, resource-limited environments. Bi-Mamba’s robust results underscore its potential as a transformative approach for more sustainable and efficient AI technologies.</p> <p><a href="https://predibase.com/smallcon?utm_medium=3rdparty&utm_source=marktechpost"></a></p> <hr class="wp-block-separator has-alpha-channel-opacity"/> <p>Check out <strong>the <a href="https://arxiv.org/abs/2411.11843" target="_blank" rel="noreferrer noopener">Paper</a></strong>. All credit for this research goes to the researchers of this project. Also, don’t forget to follow us on <strong><a href="https://twitter.com/Marktechpost">Twitter</a></strong> and join our <strong><a href="https://github.com/XGenerationLab/XiYan-SQL" target="_blank" rel="noreferrer noopener">Telegram Channel</a></strong> and <a href="https://www.linkedin.com/groups/13668564/"><strong>LinkedIn Gr</strong></a><a href="https://www.linkedin.com/groups/13668564/" target="_blank" rel="noreferrer noopener"><strong>oup</strong></a>. <strong>If you like our work, you will love our</strong><a href="https://marktechpost-newsletter.beehiiv.com/subscribe" target="_blank" rel="noreferrer noopener"><strong> newsletter..</strong></a> Don’t Forget to join our <strong><a href="https://www.reddit.com/r/machinelearningnews/" target="_blank" rel="noreferrer noopener">55k+ ML SubReddit</a></strong>.</p> <p><mark><strong>[<a href="https://predibase.com/smallcon?utm_medium=3rdparty&utm_source=marktechpost" target="_blank" rel="noreferrer noopener">FREE AI VIRTUAL CONFERENCE</a>] </strong></mark><strong><mark><a href="https://predibase.com/smallcon?utm_medium=3rdparty&utm_source=marktechpost" target="_blank" rel="noreferrer noopener">SmallCon: Free Virtual GenAI Conference ft. Meta, Mistral, Salesforce, Harvey AI & more</a></mark></strong>. <em><a href="https://predibase.com/smallcon?utm_medium=3rdparty&utm_source=marktechpost" target="_blank" rel="noreferrer noopener"><mark>Join us on Dec 11th for this free virtual event to learn what it takes to build big with small models from AI trailblazers like Meta, Mistral AI, Salesforce, Harvey AI, Upstage, Nubank, Nvidia, Hugging Face, and more.</mark></a></em></p>   <div class="molongui-clearfix"></div><div id="mab-1893195380" class="m-a-box " data-box-layout="slim" data-box-position="below" data-multiauthor="false" data-author-id="1" data-author-type="user" data-author-archived=""><div class="m-a-box-container"><div class="m-a-box-tab m-a-box-content m-a-box-profile" data-profile-layout="layout-1" data-author-ref="user-1" itemscope itemid="https://www.marktechpost.com/author/6flvq/" itemtype="https://schema.org/Person"><div class="m-a-box-content-top"></div><div class="m-a-box-content-middle"><div class="m-a-box-item m-a-box-avatar" data-source="local"><a class="m-a-box-avatar-url" href="https://www.marktechpost.com/author/6flvq/"><img decoding="async" width="150" height="150" src="https://www.marktechpost.com/wp-content/uploads/2019/06/Screen-Shot-2021-09-14-at-9.02.24-AM-150x150.png" class="avatar avatar-150 photo" alt="" srcset="https://www.marktechpost.com/wp-content/uploads/2019/06/Screen-Shot-2021-09-14-at-9.02.24-AM-150x150.png 150w, https://www.marktechpost.com/wp-content/uploads/2019/06/Screen-Shot-2021-09-14-at-9.02.24-AM-80x80.png 80w, https://www.marktechpost.com/wp-content/uploads/2019/06/Screen-Shot-2021-09-14-at-9.02.24-AM-24x24.png 24w, https://www.marktechpost.com/wp-content/uploads/2019/06/Screen-Shot-2021-09-14-at-9.02.24-AM-48x48.png 48w, https://www.marktechpost.com/wp-content/uploads/2019/06/Screen-Shot-2021-09-14-at-9.02.24-AM-96x96.png 96w, https://www.marktechpost.com/wp-content/uploads/2019/06/Screen-Shot-2021-09-14-at-9.02.24-AM-300x300.png 300w" sizes="(max-width: 150px) 100vw, 150px" data-attachment-id="17663" data-permalink="https://www.marktechpost.com/?attachment_id=17663" data-orig-file="https://www.marktechpost.com/wp-content/uploads/2019/06/Screen-Shot-2021-09-14-at-9.02.24-AM.png" data-orig-size="832,778" data-comments-opened="1" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="Screen Shot 2021-09-14 at 9.02.24 AM" data-image-description="" data-image-caption="" data-medium-file="https://www.marktechpost.com/wp-content/uploads/2019/06/Screen-Shot-2021-09-14-at-9.02.24-AM-300x281.png" data-large-file="https://www.marktechpost.com/wp-content/uploads/2019/06/Screen-Shot-2021-09-14-at-9.02.24-AM.png"/></a></div><div class="m-a-box-item m-a-box-data"><div class="m-a-box-name m-a-box-title"><h5><a class="m-a-box-name-url " href="https://www.marktechpost.com/author/6flvq/"> Asif Razzaq</a></h5></div><div class="m-a-box-item m-a-box-meta"><a href="http://www.marktechpost.com" target="_blank"><span class="m-a-box-string-web">Website</span></a> <span class="m-a-box-meta-divider">|</span> <a href="javascript:ToggleAuthorshipData(1893195380, 'user-1')" class="m-a-box-data-toggle"><span class="m-a-box-string-more-posts">+ posts</span></a></div><div class="m-a-box-bio"><p>Asif Razzaq is the CEO of Marktechpost Media Inc.. As a visionary entrepreneur and engineer, Asif is committed to harnessing the potential of Artificial Intelligence for social good. His most recent endeavor is the launch of an Artificial Intelligence Media Platform, Marktechpost, which stands out for its in-depth coverage of machine learning and deep learning news that is both technically sound and easily understandable by a wide audience. 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T-I9105|GT-I8510|GT-S6790N|SM-G7105|SM-N9005|GT-S5301|GT-I9295|GT-I9195|SM-C101|GT-S7392|GT-S7560|GT-B7610|GT-I5510|GT-S7582|GT-S7530E|GT-I8750|SM-G9006V|SM-G9008V|SM-G9009D|SM-G900A|SM-G900D|SM-G900F|SM-G900H|SM-G900I|SM-G900J|SM-G900K|SM-G900L|SM-G900M|SM-G900P|SM-G900R4|SM-G900S|SM-G900T|SM-G900V|SM-G900W8|SHV-E160K|SCH-P709|SCH-P729|SM-T2558|GT-I9205|SM-G9350|SM-J120F|SM-G920F|SM-G920V|SM-G930F|SM-N910C|SM-A310F|GT-I9190|SM-J500FN|SM-G903F|SM-J330F|SM-G610F|SM-G981B|SM-G892A|SM-A530F",LG:"\\bLG\\b;|LG[- ]?(C800|C900|E400|E610|E900|E-900|F160|F180K|F180L|F180S|730|855|L160|LS740|LS840|LS970|LU6200|MS690|MS695|MS770|MS840|MS870|MS910|P500|P700|P705|VM696|AS680|AS695|AX840|C729|E970|GS505|272|C395|E739BK|E960|L55C|L75C|LS696|LS860|P769BK|P350|P500|P509|P870|UN272|US730|VS840|VS950|LN272|LN510|LS670|LS855|LW690|MN270|MN510|P509|P769|P930|UN200|UN270|UN510|UN610|US670|US740|US760|UX265|UX840|VN271|VN530|VS660|VS700|VS740|VS750|VS910|VS920|VS930|VX9200|VX11000|AX840A|LW770|P506|P925|P999|E612|D955|D802|MS323|M257)|LM-G710",Sony:"SonyST|SonyLT|SonyEricsson|SonyEricssonLT15iv|LT18i|E10i|LT28h|LT26w|SonyEricssonMT27i|C5303|C6902|C6903|C6906|C6943|D2533|SOV34|601SO|F8332",Asus:"Asus.*Galaxy|PadFone.*Mobile",Xiaomi:"^(?!.*\\bx11\\b).*xiaomi.*$|POCOPHONE F1|MI 8|Redmi Note 9S|Redmi Note 5A Prime|N2G47H|M2001J2G|M2001J2I|M1805E10A|M2004J11G|M1902F1G|M2002J9G|M2004J19G|M2003J6A1G",NokiaLumia:"Lumia [0-9]{3,4}",Micromax:"Micromax.*\\b(A210|A92|A88|A72|A111|A110Q|A115|A116|A110|A90S|A26|A51|A35|A54|A25|A27|A89|A68|A65|A57|A90)\\b",Palm:"PalmSource|Palm",Vertu:"Vertu|Vertu.*Ltd|Vertu.*Ascent|Vertu.*Ayxta|Vertu.*Constellation(F|Quest)?|Vertu.*Monika|Vertu.*Signature",Pantech:"PANTECH|IM-A850S|IM-A840S|IM-A830L|IM-A830K|IM-A830S|IM-A820L|IM-A810K|IM-A810S|IM-A800S|IM-T100K|IM-A725L|IM-A780L|IM-A775C|IM-A770K|IM-A760S|IM-A750K|IM-A740S|IM-A730S|IM-A720L|IM-A710K|IM-A690L|IM-A690S|IM-A650S|IM-A630K|IM-A600S|VEGA PTL21|PT003|P8010|ADR910L|P6030|P6020|P9070|P4100|P9060|P5000|CDM8992|TXT8045|ADR8995|IS11PT|P2030|P6010|P8000|PT002|IS06|CDM8999|P9050|PT001|TXT8040|P2020|P9020|P2000|P7040|P7000|C790",Fly:"IQ230|IQ444|IQ450|IQ440|IQ442|IQ441|IQ245|IQ256|IQ236|IQ255|IQ235|IQ245|IQ275|IQ240|IQ285|IQ280|IQ270|IQ260|IQ250",Wiko:"KITE 4G|HIGHWAY|GETAWAY|STAIRWAY|DARKSIDE|DARKFULL|DARKNIGHT|DARKMOON|SLIDE|WAX 4G|RAINBOW|BLOOM|SUNSET|GOA(?!nna)|LENNY|BARRY|IGGY|OZZY|CINK FIVE|CINK PEAX|CINK PEAX 2|CINK SLIM|CINK SLIM 2|CINK +|CINK KING|CINK PEAX|CINK SLIM|SUBLIM",iMobile:"i-mobile (IQ|i-STYLE|idea|ZAA|Hitz)",SimValley:"\\b(SP-80|XT-930|SX-340|XT-930|SX-310|SP-360|SP60|SPT-800|SP-120|SPT-800|SP-140|SPX-5|SPX-8|SP-100|SPX-8|SPX-12)\\b",Wolfgang:"AT-B24D|AT-AS50HD|AT-AS40W|AT-AS55HD|AT-AS45q2|AT-B26D|AT-AS50Q",Alcatel:"Alcatel",Nintendo:"Nintendo (3DS|Switch)",Amoi:"Amoi",INQ:"INQ",OnePlus:"ONEPLUS",GenericPhone:"Tapatalk|PDA;|SAGEM|\\bmmp\\b|pocket|\\bpsp\\b|symbian|Smartphone|smartfon|treo|up.browser|up.link|vodafone|\\bwap\\b|nokia|Series40|Series60|S60|SonyEricsson|N900|MAUI.*WAP.*Browser"},tablets:{iPad:"iPad|iPad.*Mobile",NexusTablet:"Android.*Nexus[\\s]+(7|9|10)",GoogleTablet:"Android.*Pixel C",SamsungTablet:"SAMSUNG.*Tablet|Galaxy.*Tab|SC-01C|GT-P1000|GT-P1003|GT-P1010|GT-P3105|GT-P6210|GT-P6800|GT-P6810|GT-P7100|GT-P7300|GT-P7310|GT-P7500|GT-P7510|SCH-I800|SCH-I815|SCH-I905|SGH-I957|SGH-I987|SGH-T849|SGH-T859|SGH-T869|SPH-P100|GT-P3100|GT-P3108|GT-P3110|GT-P5100|GT-P5110|GT-P6200|GT-P7320|GT-P7511|GT-N8000|GT-P8510|SGH-I497|SPH-P500|SGH-T779|SCH-I705|SCH-I915|GT-N8013|GT-P3113|GT-P5113|GT-P8110|GT-N8010|GT-N8005|GT-N8020|GT-P1013|GT-P6201|GT-P7501|GT-N5100|GT-N5105|GT-N5110|SHV-E140K|SHV-E140L|SHV-E140S|SHV-E150S|SHV-E230K|SHV-E230L|SHV-E230S|SHW-M180K|SHW-M180L|SHW-M180S|SHW-M180W|SHW-M300W|SHW-M305W|SHW-M380K|SHW-M380S|SHW-M380W|SHW-M430W|SHW-M480K|SHW-M480S|SHW-M480W|SHW-M485W|SHW-M486W|SHW-M500W|GT-I9228|SCH-P739|SCH-I925|GT-I9200|GT-P5200|GT-P5210|GT-P5210X|SM-T311|SM-T310|SM-T310X|SM-T210|SM-T210R|SM-T211|SM-P600|SM-P601|SM-P605|SM-P900|SM-P901|SM-T217|SM-T217A|SM-T217S|SM-P6000|SM-T3100|SGH-I467|XE500|SM-T110|GT-P5220|GT-I9200X|GT-N5110X|GT-N5120|SM-P905|SM-T111|SM-T2105|SM-T315|SM-T320|SM-T320X|SM-T321|SM-T520|SM-T525|SM-T530NU|SM-T230NU|SM-T330NU|SM-T900|XE500T1C|SM-P605V|SM-P905V|SM-T337V|SM-T537V|SM-T707V|SM-T807V|SM-P600X|SM-P900X|SM-T210X|SM-T230|SM-T230X|SM-T325|GT-P7503|SM-T531|SM-T330|SM-T530|SM-T705|SM-T705C|SM-T535|SM-T331|SM-T800|SM-T700|SM-T537|SM-T807|SM-P907A|SM-T337A|SM-T537A|SM-T707A|SM-T807A|SM-T237|SM-T807P|SM-P607T|SM-T217T|SM-T337T|SM-T807T|SM-T116NQ|SM-T116BU|SM-P550|SM-T350|SM-T550|SM-T9000|SM-P9000|SM-T705Y|SM-T805|GT-P3113|SM-T710|SM-T810|SM-T815|SM-T360|SM-T533|SM-T113|SM-T335|SM-T715|SM-T560|SM-T670|SM-T677|SM-T377|SM-T567|SM-T357T|SM-T555|SM-T561|SM-T713|SM-T719|SM-T813|SM-T819|SM-T580|SM-T355Y?|SM-T280|SM-T817A|SM-T820|SM-W700|SM-P580|SM-T587|SM-P350|SM-P555M|SM-P355M|SM-T113NU|SM-T815Y|SM-T585|SM-T285|SM-T825|SM-W708|SM-T835|SM-T830|SM-T837V|SM-T720|SM-T510|SM-T387V|SM-P610|SM-T290|SM-T515|SM-T590|SM-T595|SM-T725|SM-T817P|SM-P585N0|SM-T395|SM-T295|SM-T865|SM-P610N|SM-P615|SM-T970|SM-T380|SM-T5950|SM-T905|SM-T231|SM-T500|SM-T860",Kindle:"Kindle|Silk.*Accelerated|Android.*\\b(KFOT|KFTT|KFJWI|KFJWA|KFOTE|KFSOWI|KFTHWI|KFTHWA|KFAPWI|KFAPWA|WFJWAE|KFSAWA|KFSAWI|KFASWI|KFARWI|KFFOWI|KFGIWI|KFMEWI)\\b|Android.*Silk/[0-9.]+ like Chrome/[0-9.]+ (?!Mobile)",SurfaceTablet:"Windows NT [0-9.]+; ARM;.*(Tablet|ARMBJS)",HPTablet:"HP Slate (7|8|10)|HP ElitePad 900|hp-tablet|EliteBook.*Touch|HP 8|Slate 21|HP SlateBook 10",AsusTablet:"^.*PadFone((?!Mobile).)*$|Transformer|TF101|TF101G|TF300T|TF300TG|TF300TL|TF700T|TF700KL|TF701T|TF810C|ME171|ME301T|ME302C|ME371MG|ME370T|ME372MG|ME172V|ME173X|ME400C|Slider SL101|\\bK00F\\b|\\bK00C\\b|\\bK00E\\b|\\bK00L\\b|TX201LA|ME176C|ME102A|\\bM80TA\\b|ME372CL|ME560CG|ME372CG|ME302KL| K010 | K011 | K017 | K01E |ME572C|ME103K|ME170C|ME171C|\\bME70C\\b|ME581C|ME581CL|ME8510C|ME181C|P01Y|PO1MA|P01Z|\\bP027\\b|\\bP024\\b|\\bP00C\\b",BlackBerryTablet:"PlayBook|RIM Tablet",HTCtablet:"HTC_Flyer_P512|HTC Flyer|HTC Jetstream|HTC-P715a|HTC EVO View 4G|PG41200|PG09410",MotorolaTablet:"xoom|sholest|MZ615|MZ605|MZ505|MZ601|MZ602|MZ603|MZ604|MZ606|MZ607|MZ608|MZ609|MZ615|MZ616|MZ617",NookTablet:"Android.*Nook|NookColor|nook browser|BNRV200|BNRV200A|BNTV250|BNTV250A|BNTV400|BNTV600|LogicPD Zoom2",AcerTablet:"Android.*; \\b(A100|A101|A110|A200|A210|A211|A500|A501|A510|A511|A700|A701|W500|W500P|W501|W501P|W510|W511|W700|G100|G100W|B1-A71|B1-710|B1-711|A1-810|A1-811|A1-830)\\b|W3-810|\\bA3-A10\\b|\\bA3-A11\\b|\\bA3-A20\\b|\\bA3-A30|A3-A40",ToshibaTablet:"Android.*(AT100|AT105|AT200|AT205|AT270|AT275|AT300|AT305|AT1S5|AT500|AT570|AT700|AT830)|TOSHIBA.*FOLIO",LGTablet:"\\bL-06C|LG-V909|LG-V900|LG-V700|LG-V510|LG-V500|LG-V410|LG-V400|LG-VK810\\b",FujitsuTablet:"Android.*\\b(F-01D|F-02F|F-05E|F-10D|M532|Q572)\\b",PrestigioTablet:"PMP3170B|PMP3270B|PMP3470B|PMP7170B|PMP3370B|PMP3570C|PMP5870C|PMP3670B|PMP5570C|PMP5770D|PMP3970B|PMP3870C|PMP5580C|PMP5880D|PMP5780D|PMP5588C|PMP7280C|PMP7280C3G|PMP7280|PMP7880D|PMP5597D|PMP5597|PMP7100D|PER3464|PER3274|PER3574|PER3884|PER5274|PER5474|PMP5097CPRO|PMP5097|PMP7380D|PMP5297C|PMP5297C_QUAD|PMP812E|PMP812E3G|PMP812F|PMP810E|PMP880TD|PMT3017|PMT3037|PMT3047|PMT3057|PMT7008|PMT5887|PMT5001|PMT5002",LenovoTablet:"Lenovo TAB|Idea(Tab|Pad)( A1|A10| K1|)|ThinkPad([ ]+)?Tablet|YT3-850M|YT3-X90L|YT3-X90F|YT3-X90X|Lenovo.*(S2109|S2110|S5000|S6000|K3011|A3000|A3500|A1000|A2107|A2109|A1107|A5500|A7600|B6000|B8000|B8080)(-|)(FL|F|HV|H|)|TB-X103F|TB-X304X|TB-X304F|TB-X304L|TB-X505F|TB-X505L|TB-X505X|TB-X605F|TB-X605L|TB-8703F|TB-8703X|TB-8703N|TB-8704N|TB-8704F|TB-8704X|TB-8704V|TB-7304F|TB-7304I|TB-7304X|Tab2A7-10F|Tab2A7-20F|TB2-X30L|YT3-X50L|YT3-X50F|YT3-X50M|YT-X705F|YT-X703F|YT-X703L|YT-X705L|YT-X705X|TB2-X30F|TB2-X30L|TB2-X30M|A2107A-F|A2107A-H|TB3-730F|TB3-730M|TB3-730X|TB-7504F|TB-7504X|TB-X704F|TB-X104F|TB3-X70F|TB-X705F|TB-8504F|TB3-X70L|TB3-710F|TB-X704L",DellTablet:"Venue 11|Venue 8|Venue 7|Dell Streak 10|Dell Streak 7",YarvikTablet:"Android.*\\b(TAB210|TAB211|TAB224|TAB250|TAB260|TAB264|TAB310|TAB360|TAB364|TAB410|TAB411|TAB420|TAB424|TAB450|TAB460|TAB461|TAB464|TAB465|TAB467|TAB468|TAB07-100|TAB07-101|TAB07-150|TAB07-151|TAB07-152|TAB07-200|TAB07-201-3G|TAB07-210|TAB07-211|TAB07-212|TAB07-214|TAB07-220|TAB07-400|TAB07-485|TAB08-150|TAB08-200|TAB08-201-3G|TAB08-201-30|TAB09-100|TAB09-211|TAB09-410|TAB10-150|TAB10-201|TAB10-211|TAB10-400|TAB10-410|TAB13-201|TAB274EUK|TAB275EUK|TAB374EUK|TAB462EUK|TAB474EUK|TAB9-200)\\b",MedionTablet:"Android.*\\bOYO\\b|LIFE.*(P9212|P9514|P9516|S9512)|LIFETAB",ArnovaTablet:"97G4|AN10G2|AN7bG3|AN7fG3|AN8G3|AN8cG3|AN7G3|AN9G3|AN7dG3|AN7dG3ST|AN7dG3ChildPad|AN10bG3|AN10bG3DT|AN9G2",IntensoTablet:"INM8002KP|INM1010FP|INM805ND|Intenso Tab|TAB1004",IRUTablet:"M702pro",MegafonTablet:"MegaFon V9|\\bZTE V9\\b|Android.*\\bMT7A\\b",EbodaTablet:"E-Boda (Supreme|Impresspeed|Izzycomm|Essential)",AllViewTablet:"Allview.*(Viva|Alldro|City|Speed|All TV|Frenzy|Quasar|Shine|TX1|AX1|AX2)",ArchosTablet:"\\b(101G9|80G9|A101IT)\\b|Qilive 97R|Archos5|\\bARCHOS (70|79|80|90|97|101|FAMILYPAD|)(b|c|)(G10| Cobalt| TITANIUM(HD|)| Xenon| Neon|XSK| 2| XS 2| PLATINUM| CARBON|GAMEPAD)\\b",AinolTablet:"NOVO7|NOVO8|NOVO10|Novo7Aurora|Novo7Basic|NOVO7PALADIN|novo9-Spark",NokiaLumiaTablet:"Lumia 2520",SonyTablet:"Sony.*Tablet|Xperia Tablet|Sony Tablet S|SO-03E|SGPT12|SGPT13|SGPT114|SGPT121|SGPT122|SGPT123|SGPT111|SGPT112|SGPT113|SGPT131|SGPT132|SGPT133|SGPT211|SGPT212|SGPT213|SGP311|SGP312|SGP321|EBRD1101|EBRD1102|EBRD1201|SGP351|SGP341|SGP511|SGP512|SGP521|SGP541|SGP551|SGP621|SGP641|SGP612|SOT31|SGP771|SGP611|SGP612|SGP712",PhilipsTablet:"\\b(PI2010|PI3000|PI3100|PI3105|PI3110|PI3205|PI3210|PI3900|PI4010|PI7000|PI7100)\\b",CubeTablet:"Android.*(K8GT|U9GT|U10GT|U16GT|U17GT|U18GT|U19GT|U20GT|U23GT|U30GT)|CUBE U8GT",CobyTablet:"MID1042|MID1045|MID1125|MID1126|MID7012|MID7014|MID7015|MID7034|MID7035|MID7036|MID7042|MID7048|MID7127|MID8042|MID8048|MID8127|MID9042|MID9740|MID9742|MID7022|MID7010",MIDTablet:"M9701|M9000|M9100|M806|M1052|M806|T703|MID701|MID713|MID710|MID727|MID760|MID830|MID728|MID933|MID125|MID810|MID732|MID120|MID930|MID800|MID731|MID900|MID100|MID820|MID735|MID980|MID130|MID833|MID737|MID960|MID135|MID860|MID736|MID140|MID930|MID835|MID733|MID4X10",MSITablet:"MSI \\b(Primo 73K|Primo 73L|Primo 81L|Primo 77|Primo 93|Primo 75|Primo 76|Primo 73|Primo 81|Primo 91|Primo 90|Enjoy 71|Enjoy 7|Enjoy 10)\\b",SMiTTablet:"Android.*(\\bMID\\b|MID-560|MTV-T1200|MTV-PND531|MTV-P1101|MTV-PND530)",RockChipTablet:"Android.*(RK2818|RK2808A|RK2918|RK3066)|RK2738|RK2808A",FlyTablet:"IQ310|Fly Vision",bqTablet:"Android.*(bq)?.*\\b(Elcano|Curie|Edison|Maxwell|Kepler|Pascal|Tesla|Hypatia|Platon|Newton|Livingstone|Cervantes|Avant|Aquaris ([E|M]10|M8))\\b|Maxwell.*Lite|Maxwell.*Plus",HuaweiTablet:"MediaPad|MediaPad 7 Youth|IDEOS S7|S7-201c|S7-202u|S7-101|S7-103|S7-104|S7-105|S7-106|S7-201|S7-Slim|M2-A01L|BAH-L09|BAH-W09|AGS-L09|CMR-AL19",NecTablet:"\\bN-06D|\\bN-08D",PantechTablet:"Pantech.*P4100",BronchoTablet:"Broncho.*(N701|N708|N802|a710)",VersusTablet:"TOUCHPAD.*[78910]|\\bTOUCHTAB\\b",ZyncTablet:"z1000|Z99 2G|z930|z990|z909|Z919|z900",PositivoTablet:"TB07STA|TB10STA|TB07FTA|TB10FTA",NabiTablet:"Android.*\\bNabi",KoboTablet:"Kobo Touch|\\bK080\\b|\\bVox\\b Build|\\bArc\\b Build",DanewTablet:"DSlide.*\\b(700|701R|702|703R|704|802|970|971|972|973|974|1010|1012)\\b",TexetTablet:"NaviPad|TB-772A|TM-7045|TM-7055|TM-9750|TM-7016|TM-7024|TM-7026|TM-7041|TM-7043|TM-7047|TM-8041|TM-9741|TM-9747|TM-9748|TM-9751|TM-7022|TM-7021|TM-7020|TM-7011|TM-7010|TM-7023|TM-7025|TM-7037W|TM-7038W|TM-7027W|TM-9720|TM-9725|TM-9737W|TM-1020|TM-9738W|TM-9740|TM-9743W|TB-807A|TB-771A|TB-727A|TB-725A|TB-719A|TB-823A|TB-805A|TB-723A|TB-715A|TB-707A|TB-705A|TB-709A|TB-711A|TB-890HD|TB-880HD|TB-790HD|TB-780HD|TB-770HD|TB-721HD|TB-710HD|TB-434HD|TB-860HD|TB-840HD|TB-760HD|TB-750HD|TB-740HD|TB-730HD|TB-722HD|TB-720HD|TB-700HD|TB-500HD|TB-470HD|TB-431HD|TB-430HD|TB-506|TB-504|TB-446|TB-436|TB-416|TB-146SE|TB-126SE",PlaystationTablet:"Playstation.*(Portable|Vita)",TrekstorTablet:"ST10416-1|VT10416-1|ST70408-1|ST702xx-1|ST702xx-2|ST80208|ST97216|ST70104-2|VT10416-2|ST10216-2A|SurfTab",PyleAudioTablet:"\\b(PTBL10CEU|PTBL10C|PTBL72BC|PTBL72BCEU|PTBL7CEU|PTBL7C|PTBL92BC|PTBL92BCEU|PTBL9CEU|PTBL9CUK|PTBL9C)\\b",AdvanTablet:"Android.* \\b(E3A|T3X|T5C|T5B|T3E|T3C|T3B|T1J|T1F|T2A|T1H|T1i|E1C|T1-E|T5-A|T4|E1-B|T2Ci|T1-B|T1-D|O1-A|E1-A|T1-A|T3A|T4i)\\b ",DanyTechTablet:"Genius Tab G3|Genius Tab S2|Genius Tab Q3|Genius Tab G4|Genius Tab Q4|Genius Tab G-II|Genius TAB GII|Genius TAB GIII|Genius Tab S1",GalapadTablet:"Android [0-9.]+; [a-z-]+; \\bG1\\b",MicromaxTablet:"Funbook|Micromax.*\\b(P250|P560|P360|P362|P600|P300|P350|P500|P275)\\b",KarbonnTablet:"Android.*\\b(A39|A37|A34|ST8|ST10|ST7|Smart Tab3|Smart Tab2)\\b",AllFineTablet:"Fine7 Genius|Fine7 Shine|Fine7 Air|Fine8 Style|Fine9 More|Fine10 Joy|Fine11 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1027",HCLTablet:"HCL.*Tablet|Connect-3G-2.0|Connect-2G-2.0|ME Tablet U1|ME Tablet U2|ME Tablet G1|ME Tablet X1|ME Tablet Y2|ME Tablet Sync",DPSTablet:"DPS Dream 9|DPS Dual 7",VistureTablet:"V97 HD|i75 3G|Visture V4( HD)?|Visture V5( HD)?|Visture V10",CrestaTablet:"CTP(-)?810|CTP(-)?818|CTP(-)?828|CTP(-)?838|CTP(-)?888|CTP(-)?978|CTP(-)?980|CTP(-)?987|CTP(-)?988|CTP(-)?989",MediatekTablet:"\\bMT8125|MT8389|MT8135|MT8377\\b",ConcordeTablet:"Concorde([ ]+)?Tab|ConCorde ReadMan",GoCleverTablet:"GOCLEVER TAB|A7GOCLEVER|M1042|M7841|M742|R1042BK|R1041|TAB A975|TAB A7842|TAB A741|TAB A741L|TAB M723G|TAB M721|TAB A1021|TAB I921|TAB R721|TAB I720|TAB T76|TAB R70|TAB R76.2|TAB R106|TAB R83.2|TAB M813G|TAB I721|GCTA722|TAB I70|TAB I71|TAB S73|TAB R73|TAB R74|TAB R93|TAB R75|TAB R76.1|TAB A73|TAB A93|TAB A93.2|TAB T72|TAB R83|TAB R974|TAB R973|TAB A101|TAB A103|TAB A104|TAB A104.2|R105BK|M713G|A972BK|TAB A971|TAB R974.2|TAB R104|TAB R83.3|TAB A1042",ModecomTablet:"FreeTAB 9000|FreeTAB 7.4|FreeTAB 7004|FreeTAB 7800|FreeTAB 2096|FreeTAB 7.5|FreeTAB 1014|FreeTAB 1001 |FreeTAB 8001|FreeTAB 9706|FreeTAB 9702|FreeTAB 7003|FreeTAB 7002|FreeTAB 1002|FreeTAB 7801|FreeTAB 1331|FreeTAB 1004|FreeTAB 8002|FreeTAB 8014|FreeTAB 9704|FreeTAB 1003",VoninoTablet:"\\b(Argus[ _]?S|Diamond[ _]?79HD|Emerald[ _]?78E|Luna[ _]?70C|Onyx[ _]?S|Onyx[ _]?Z|Orin[ _]?HD|Orin[ _]?S|Otis[ _]?S|SpeedStar[ _]?S|Magnet[ _]?M9|Primus[ _]?94[ _]?3G|Primus[ _]?94HD|Primus[ _]?QS|Android.*\\bQ8\\b|Sirius[ _]?EVO[ _]?QS|Sirius[ _]?QS|Spirit[ _]?S)\\b",ECSTablet:"V07OT2|TM105A|S10OT1|TR10CS1",StorexTablet:"eZee[_']?(Tab|Go)[0-9]+|TabLC7|Looney Tunes Tab",VodafoneTablet:"SmartTab([ ]+)?[0-9]+|SmartTabII10|SmartTabII7|VF-1497|VFD 1400",EssentielBTablet:"Smart[ ']?TAB[ ]+?[0-9]+|Family[ ']?TAB2",RossMoorTablet:"RM-790|RM-997|RMD-878G|RMD-974R|RMT-705A|RMT-701|RME-601|RMT-501|RMT-711",iMobileTablet:"i-mobile i-note",TolinoTablet:"tolino tab [0-9.]+|tolino shine",AudioSonicTablet:"\\bC-22Q|T7-QC|T-17B|T-17P\\b",AMPETablet:"Android.* A78 ",SkkTablet:"Android.* (SKYPAD|PHOENIX|CYCLOPS)",TecnoTablet:"TECNO P9|TECNO DP8D",JXDTablet:"Android.* \\b(F3000|A3300|JXD5000|JXD3000|JXD2000|JXD300B|JXD300|S5800|S7800|S602b|S5110b|S7300|S5300|S602|S603|S5100|S5110|S601|S7100a|P3000F|P3000s|P101|P200s|P1000m|P200m|P9100|P1000s|S6600b|S908|P1000|P300|S18|S6600|S9100)\\b",iJoyTablet:"Tablet (Spirit 7|Essentia|Galatea|Fusion|Onix 7|Landa|Titan|Scooby|Deox|Stella|Themis|Argon|Unique 7|Sygnus|Hexen|Finity 7|Cream|Cream X2|Jade|Neon 7|Neron 7|Kandy|Scape|Saphyr 7|Rebel|Biox|Rebel|Rebel 8GB|Myst|Draco 7|Myst|Tab7-004|Myst|Tadeo Jones|Tablet Boing|Arrow|Draco Dual Cam|Aurix|Mint|Amity|Revolution|Finity 9|Neon 9|T9w|Amity 4GB Dual Cam|Stone 4GB|Stone 8GB|Andromeda|Silken|X2|Andromeda II|Halley|Flame|Saphyr 9,7|Touch 8|Planet|Triton|Unique 10|Hexen 10|Memphis 4GB|Memphis 8GB|Onix 10)",FX2Tablet:"FX2 PAD7|FX2 PAD10",XoroTablet:"KidsPAD 701|PAD[ ]?712|PAD[ ]?714|PAD[ ]?716|PAD[ ]?717|PAD[ ]?718|PAD[ ]?720|PAD[ ]?721|PAD[ ]?722|PAD[ ]?790|PAD[ ]?792|PAD[ ]?900|PAD[ ]?9715D|PAD[ ]?9716DR|PAD[ ]?9718DR|PAD[ ]?9719QR|PAD[ ]?9720QR|TelePAD1030|Telepad1032|TelePAD730|TelePAD731|TelePAD732|TelePAD735Q|TelePAD830|TelePAD9730|TelePAD795|MegaPAD 1331|MegaPAD 1851|MegaPAD 2151",ViewsonicTablet:"ViewPad 10pi|ViewPad 10e|ViewPad 10s|ViewPad E72|ViewPad7|ViewPad E100|ViewPad 7e|ViewSonic VB733|VB100a",VerizonTablet:"QTAQZ3|QTAIR7|QTAQTZ3|QTASUN1|QTASUN2|QTAXIA1",OdysTablet:"LOOX|XENO10|ODYS[ -](Space|EVO|Xpress|NOON)|\\bXELIO\\b|Xelio10Pro|XELIO7PHONETAB|XELIO10EXTREME|XELIOPT2|NEO_QUAD10",CaptivaTablet:"CAPTIVA PAD",IconbitTablet:"NetTAB|NT-3702|NT-3702S|NT-3702S|NT-3603P|NT-3603P|NT-0704S|NT-0704S|NT-3805C|NT-3805C|NT-0806C|NT-0806C|NT-0909T|NT-0909T|NT-0907S|NT-0907S|NT-0902S|NT-0902S",TeclastTablet:"T98 4G|\\bP80\\b|\\bX90HD\\b|X98 Air|X98 Air 3G|\\bX89\\b|P80 3G|\\bX80h\\b|P98 Air|\\bX89HD\\b|P98 3G|\\bP90HD\\b|P89 3G|X98 3G|\\bP70h\\b|P79HD 3G|G18d 3G|\\bP79HD\\b|\\bP89s\\b|\\bA88\\b|\\bP10HD\\b|\\bP19HD\\b|G18 3G|\\bP78HD\\b|\\bA78\\b|\\bP75\\b|G17s 3G|G17h 3G|\\bP85t\\b|\\bP90\\b|\\bP11\\b|\\bP98t\\b|\\bP98HD\\b|\\bG18d\\b|\\bP85s\\b|\\bP11HD\\b|\\bP88s\\b|\\bA80HD\\b|\\bA80se\\b|\\bA10h\\b|\\bP89\\b|\\bP78s\\b|\\bG18\\b|\\bP85\\b|\\bA70h\\b|\\bA70\\b|\\bG17\\b|\\bP18\\b|\\bA80s\\b|\\bA11s\\b|\\bP88HD\\b|\\bA80h\\b|\\bP76s\\b|\\bP76h\\b|\\bP98\\b|\\bA10HD\\b|\\bP78\\b|\\bP88\\b|\\bA11\\b|\\bA10t\\b|\\bP76a\\b|\\bP76t\\b|\\bP76e\\b|\\bP85HD\\b|\\bP85a\\b|\\bP86\\b|\\bP75HD\\b|\\bP76v\\b|\\bA12\\b|\\bP75a\\b|\\bA15\\b|\\bP76Ti\\b|\\bP81HD\\b|\\bA10\\b|\\bT760VE\\b|\\bT720HD\\b|\\bP76\\b|\\bP73\\b|\\bP71\\b|\\bP72\\b|\\bT720SE\\b|\\bC520Ti\\b|\\bT760\\b|\\bT720VE\\b|T720-3GE|T720-WiFi",OndaTablet:"\\b(V975i|Vi30|VX530|V701|Vi60|V701s|Vi50|V801s|V719|Vx610w|VX610W|V819i|Vi10|VX580W|Vi10|V711s|V813|V811|V820w|V820|Vi20|V711|VI30W|V712|V891w|V972|V819w|V820w|Vi60|V820w|V711|V813s|V801|V819|V975s|V801|V819|V819|V818|V811|V712|V975m|V101w|V961w|V812|V818|V971|V971s|V919|V989|V116w|V102w|V973|Vi40)\\b[\\s]+|V10 \\b4G\\b",JaytechTablet:"TPC-PA762",BlaupunktTablet:"Endeavour 800NG|Endeavour 1010",DigmaTablet:"\\b(iDx10|iDx9|iDx8|iDx7|iDxD7|iDxD8|iDsQ8|iDsQ7|iDsQ8|iDsD10|iDnD7|3TS804H|iDsQ11|iDj7|iDs10)\\b",EvolioTablet:"ARIA_Mini_wifi|Aria[ _]Mini|Evolio X10|Evolio X7|Evolio X8|\\bEvotab\\b|\\bNeura\\b",LavaTablet:"QPAD E704|\\bIvoryS\\b|E-TAB IVORY|\\bE-TAB\\b",AocTablet:"MW0811|MW0812|MW0922|MTK8382|MW1031|MW0831|MW0821|MW0931|MW0712",MpmanTablet:"MP11 OCTA|MP10 OCTA|MPQC1114|MPQC1004|MPQC994|MPQC974|MPQC973|MPQC804|MPQC784|MPQC780|\\bMPG7\\b|MPDCG75|MPDCG71|MPDC1006|MP101DC|MPDC9000|MPDC905|MPDC706HD|MPDC706|MPDC705|MPDC110|MPDC100|MPDC99|MPDC97|MPDC88|MPDC8|MPDC77|MP709|MID701|MID711|MID170|MPDC703|MPQC1010",CelkonTablet:"CT695|CT888|CT[\\s]?910|CT7 Tab|CT9 Tab|CT3 Tab|CT2 Tab|CT1 Tab|C820|C720|\\bCT-1\\b",WolderTablet:"miTab \\b(DIAMOND|SPACE|BROOKLYN|NEO|FLY|MANHATTAN|FUNK|EVOLUTION|SKY|GOCAR|IRON|GENIUS|POP|MINT|EPSILON|BROADWAY|JUMP|HOP|LEGEND|NEW AGE|LINE|ADVANCE|FEEL|FOLLOW|LIKE|LINK|LIVE|THINK|FREEDOM|CHICAGO|CLEVELAND|BALTIMORE-GH|IOWA|BOSTON|SEATTLE|PHOENIX|DALLAS|IN 101|MasterChef)\\b",MediacomTablet:"M-MPI10C3G|M-SP10EG|M-SP10EGP|M-SP10HXAH|M-SP7HXAH|M-SP10HXBH|M-SP8HXAH|M-SP8MXA",MiTablet:"\\bMI PAD\\b|\\bHM NOTE 1W\\b",NibiruTablet:"Nibiru M1|Nibiru Jupiter One",NexoTablet:"NEXO NOVA|NEXO 10|NEXO AVIO|NEXO FREE|NEXO GO|NEXO EVO|NEXO 3G|NEXO SMART|NEXO KIDDO|NEXO MOBI",LeaderTablet:"TBLT10Q|TBLT10I|TBL-10WDKB|TBL-10WDKBO2013|TBL-W230V2|TBL-W450|TBL-W500|SV572|TBLT7I|TBA-AC7-8G|TBLT79|TBL-8W16|TBL-10W32|TBL-10WKB|TBL-W100",UbislateTablet:"UbiSlate[\\s]?7C",PocketBookTablet:"Pocketbook",KocasoTablet:"\\b(TB-1207)\\b",HisenseTablet:"\\b(F5281|E2371)\\b",Hudl:"Hudl HT7S3|Hudl 2",TelstraTablet:"T-Hub2",GenericTablet:"Android.*\\b97D\\b|Tablet(?!.*PC)|BNTV250A|MID-WCDMA|LogicPD Zoom2|\\bA7EB\\b|CatNova8|A1_07|CT704|CT1002|\\bM721\\b|rk30sdk|\\bEVOTAB\\b|M758A|ET904|ALUMIUM10|Smartfren Tab|Endeavour 1010|Tablet-PC-4|Tagi Tab|\\bM6pro\\b|CT1020W|arc 10HD|\\bTP750\\b|\\bQTAQZ3\\b|WVT101|TM1088|KT107"},oss:{AndroidOS:"Android",BlackBerryOS:"blackberry|\\bBB10\\b|rim tablet os",PalmOS:"PalmOS|avantgo|blazer|elaine|hiptop|palm|plucker|xiino",SymbianOS:"Symbian|SymbOS|Series60|Series40|SYB-[0-9]+|\\bS60\\b",WindowsMobileOS:"Windows CE.*(PPC|Smartphone|Mobile|[0-9]{3}x[0-9]{3})|Windows Mobile|Windows Phone [0-9.]+|WCE;",WindowsPhoneOS:"Windows Phone 10.0|Windows Phone 8.1|Windows Phone 8.0|Windows Phone OS|XBLWP7|ZuneWP7|Windows NT 6.[23]; ARM;",iOS:"\\biPhone.*Mobile|\\biPod|\\biPad|AppleCoreMedia",iPadOS:"CPU OS 13",SailfishOS:"Sailfish",MeeGoOS:"MeeGo",MaemoOS:"Maemo",JavaOS:"J2ME/|\\bMIDP\\b|\\bCLDC\\b",webOS:"webOS|hpwOS",badaOS:"\\bBada\\b",BREWOS:"BREW"},uas:{Chrome:"\\bCrMo\\b|CriOS|Android.*Chrome/[.0-9]* (Mobile)?",Dolfin:"\\bDolfin\\b",Opera:"Opera.*Mini|Opera.*Mobi|Android.*Opera|Mobile.*OPR/[0-9.]+$|Coast/[0-9.]+",Skyfire:"Skyfire",Edge:"\\bEdgiOS\\b|Mobile Safari/[.0-9]* Edge",IE:"IEMobile|MSIEMobile",Firefox:"fennec|firefox.*maemo|(Mobile|Tablet).*Firefox|Firefox.*Mobile|FxiOS",Bolt:"bolt",TeaShark:"teashark",Blazer:"Blazer",Safari:"Version((?!\\bEdgiOS\\b).)*Mobile.*Safari|Safari.*Mobile|MobileSafari",WeChat:"\\bMicroMessenger\\b",UCBrowser:"UC.*Browser|UCWEB",baiduboxapp:"baiduboxapp",baidubrowser:"baidubrowser",DiigoBrowser:"DiigoBrowser",Mercury:"\\bMercury\\b",ObigoBrowser:"Obigo",NetFront:"NF-Browser",GenericBrowser:"NokiaBrowser|OviBrowser|OneBrowser|TwonkyBeamBrowser|SEMC.*Browser|FlyFlow|Minimo|NetFront|Novarra-Vision|MQQBrowser|MicroMessenger",PaleMoon:"Android.*PaleMoon|Mobile.*PaleMoon"},props:{Mobile:"Mobile/[VER]",Build:"Build/[VER]",Version:"Version/[VER]",VendorID:"VendorID/[VER]",iPad:"iPad.*CPU[a-z ]+[VER]",iPhone:"iPhone.*CPU[a-z ]+[VER]",iPod:"iPod.*CPU[a-z ]+[VER]",Kindle:"Kindle/[VER]",Chrome:["Chrome/[VER]","CriOS/[VER]","CrMo/[VER]"],Coast:["Coast/[VER]"],Dolfin:"Dolfin/[VER]",Firefox:["Firefox/[VER]","FxiOS/[VER]"],Fennec:"Fennec/[VER]",Edge:"Edge/[VER]",IE:["IEMobile/[VER];","IEMobile [VER]","MSIE [VER];","Trident/[0-9.]+;.*rv:[VER]"],NetFront:"NetFront/[VER]",NokiaBrowser:"NokiaBrowser/[VER]",Opera:[" OPR/[VER]","Opera Mini/[VER]","Version/[VER]"],"Opera Mini":"Opera Mini/[VER]","Opera Mobi":"Version/[VER]",UCBrowser:["UCWEB[VER]","UC.*Browser/[VER]"],MQQBrowser:"MQQBrowser/[VER]",MicroMessenger:"MicroMessenger/[VER]",baiduboxapp:"baiduboxapp/[VER]",baidubrowser:"baidubrowser/[VER]",SamsungBrowser:"SamsungBrowser/[VER]",Iron:"Iron/[VER]",Safari:["Version/[VER]","Safari/[VER]"],Skyfire:"Skyfire/[VER]",Tizen:"Tizen/[VER]",Webkit:"webkit[ /][VER]",PaleMoon:"PaleMoon/[VER]",SailfishBrowser:"SailfishBrowser/[VER]",Gecko:"Gecko/[VER]",Trident:"Trident/[VER]",Presto:"Presto/[VER]",Goanna:"Goanna/[VER]",iOS:" \\bi?OS\\b [VER][ ;]{1}",Android:"Android [VER]",Sailfish:"Sailfish [VER]",BlackBerry:["BlackBerry[\\w]+/[VER]","BlackBerry.*Version/[VER]","Version/[VER]"],BREW:"BREW [VER]",Java:"Java/[VER]","Windows Phone OS":["Windows Phone OS [VER]","Windows Phone [VER]"],"Windows Phone":"Windows Phone [VER]","Windows CE":"Windows CE/[VER]","Windows NT":"Windows NT [VER]",Symbian:["SymbianOS/[VER]","Symbian/[VER]"],webOS:["webOS/[VER]","hpwOS/[VER];"]},utils:{Bot:"Googlebot|facebookexternalhit|Google-AMPHTML|s~amp-validator|AdsBot-Google|Google Keyword Suggestion|Facebot|YandexBot|YandexMobileBot|bingbot|ia_archiver|AhrefsBot|Ezooms|GSLFbot|WBSearchBot|Twitterbot|TweetmemeBot|Twikle|PaperLiBot|Wotbox|UnwindFetchor|Exabot|MJ12bot|YandexImages|TurnitinBot|Pingdom|contentkingapp|AspiegelBot",MobileBot:"Googlebot-Mobile|AdsBot-Google-Mobile|YahooSeeker/M1A1-R2D2",DesktopMode:"WPDesktop",TV:"SonyDTV|HbbTV",WebKit:"(webkit)[ /]([\\w.]+)",Console:"\\b(Nintendo|Nintendo WiiU|Nintendo 3DS|Nintendo Switch|PLAYSTATION|Xbox)\\b",Watch:"SM-V700"}},g.detectMobileBrowsers={fullPattern:/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i, shortPattern:/1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\-(n|u)|c55\/|capi|ccwa|cdm\-|cell|chtm|cldc|cmd\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\-s|devi|dica|dmob|do(c|p)o|ds(12|\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\-|_)|g1 u|g560|gene|gf\-5|g\-mo|go(\.w|od)|gr(ad|un)|haie|hcit|hd\-(m|p|t)|hei\-|hi(pt|ta)|hp( i|ip)|hs\-c|ht(c(\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\-(20|go|ma)|i230|iac( |\-|\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\/)|klon|kpt |kwc\-|kyo(c|k)|le(no|xi)|lg( g|\/(k|l|u)|50|54|\-[a-w])|libw|lynx|m1\-w|m3ga|m50\/|ma(te|ui|xo)|mc(01|21|ca)|m\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\-2|po(ck|rt|se)|prox|psio|pt\-g|qa\-a|qc(07|12|21|32|60|\-[2-7]|i\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\-|oo|p\-)|sdk\/|se(c(\-|0|1)|47|mc|nd|ri)|sgh\-|shar|sie(\-|m)|sk\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\-|v\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\-|tdg\-|tel(i|m)|tim\-|t\-mo|to(pl|sh)|ts(70|m\-|m3|m5)|tx\-9|up(\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\-|your|zeto|zte\-/i,tabletPattern:/android|ipad|playbook|silk/i};var h,i=Object.prototype.hasOwnProperty;return g.FALLBACK_PHONE="UnknownPhone",g.FALLBACK_TABLET="UnknownTablet",g.FALLBACK_MOBILE="UnknownMobile",h="isArray"in Array?Array.isArray:function(a){return"[object Array]"===Object.prototype.toString.call(a)},function(){var a,b,c,e,f,j,k=g.mobileDetectRules;for(a in k.props)if(i.call(k.props,a)){for(b=k.props[a],h(b)||(b=[b]),f=b.length,e=0;e<f;++e)c=b[e],j=c.indexOf("[VER]"),j>=0&&(c=c.substring(0,j)+"([\\w._\\+]+)"+c.substring(j+5)),b[e]=new RegExp(c,"i");k.props[a]=b}d(k.oss),d(k.phones),d(k.tablets),d(k.uas),d(k.utils),k.oss0={WindowsPhoneOS:k.oss.WindowsPhoneOS,WindowsMobileOS:k.oss.WindowsMobileOS}}(),g.findMatch=function(a,b){for(var c in a)if(i.call(a,c)&&a[c].test(b))return c;return null},g.findMatches=function(a,b){var c=[];for(var d in a)i.call(a,d)&&a[d].test(b)&&c.push(d);return c},g.getVersionStr=function(a,b){var c,d,e,f,h=g.mobileDetectRules.props;if(i.call(h,a))for(c=h[a],e=c.length,d=0;d<e;++d)if(f=c[d].exec(b),null!==f)return f[1];return null},g.getVersion=function(a,b){var c=g.getVersionStr(a,b);return c?g.prepareVersionNo(c):NaN},g.prepareVersionNo=function(a){var b;return b=a.split(/[a-z._ \/\-]/i),1===b.length&&(a=b[0]),b.length>1&&(a=b[0]+".",b.shift(),a+=b.join("")),Number(a)},g.isMobileFallback=function(a){return g.detectMobileBrowsers.fullPattern.test(a)||g.detectMobileBrowsers.shortPattern.test(a.substr(0,4))},g.isTabletFallback=function(a){return g.detectMobileBrowsers.tabletPattern.test(a)},g.prepareDetectionCache=function(a,c,d){if(a.mobile===b){var e,h,i;return(h=g.findMatch(g.mobileDetectRules.tablets,c))?(a.mobile=a.tablet=h,void(a.phone=null)):(e=g.findMatch(g.mobileDetectRules.phones,c))?(a.mobile=a.phone=e,void(a.tablet=null)):void(g.isMobileFallback(c)?(i=f.isPhoneSized(d),i===b?(a.mobile=g.FALLBACK_MOBILE,a.tablet=a.phone=null):i?(a.mobile=a.phone=g.FALLBACK_PHONE,a.tablet=null):(a.mobile=a.tablet=g.FALLBACK_TABLET,a.phone=null)):g.isTabletFallback(c)?(a.mobile=a.tablet=g.FALLBACK_TABLET,a.phone=null):a.mobile=a.tablet=a.phone=null)}},g.mobileGrade=function(a){var b=null!==a.mobile();return a.os("iOS")&&a.version("iPad")>=4.3||a.os("iOS")&&a.version("iPhone")>=3.1||a.os("iOS")&&a.version("iPod")>=3.1||a.version("Android")>2.1&&a.is("Webkit")||a.version("Windows Phone 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