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#ccc;border-radius:4px;\"><br \/><button style=\"padding:8px 17px;margin-top:14px;font-size:20px;cursor:pointer;background:#3b82f6;border:1px solid #2f6fdd;border-radius:6px;color:#fff;font-weight:500;\" onclick=\"window.doV()\">Verify<\/button><\/div>\n<div id=\"captcha-msg\" style=\"text-align:center;\"><\/div>\n<\/td>\n<\/tr>\n<\/table>\n<ul style=\"margin-top:24px;padding-left:19px;margin-left:0;\">\n<li><strong>Processor:<\/strong> Intel i7 \/ Ryzen 7 <strong>for heavy Quantized models<\/strong><\/li>\n<li><strong>RAM:<\/strong> at least 32 GB in <strong>dual-channel mode<\/strong> for bandwidth<\/li>\n<li><b>Disk:<\/b> high-speed SSD 120 GB to cache model layers<\/li>\n<li><strong>GPU:<\/strong> 16 GB+ video memory <strong>highly recommended<\/strong> for exl2 \/ AWQ formats<\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<h4>Simplifying NLP with Qwen3.6-27B-MLX-5bit<\/h4>\n<p>The Qwen3.6-27B-MLX-5bit model is a cutting-edge solution for natural language processing tasks, leveraging the power of 27 billion parameters and custom MLX architecture to deliver exceptional performance while maintaining a compact footprint. By applying 5-bit quantization, this model reduces memory usage and enables fast inference on consumer-grade hardware, making it an attractive option for researchers and developers alike. Benchmarks have shown that Qwen3.6-27B-MLX-5bit achieves competitive perplexity scores across multiple NLP tasks while keeping inference latency under 50 ms on a single GPU.<\/p>\n<ul>\n<li>Key benefits of the Qwen3.6-27B-MLX-5bit model include its ability to deliver state-of-the-art performance, compact footprint, and fast inference times.<\/li>\n<li>Additionally, the integrated MLX compiler optimizes kernel execution, allowing developers to fine-tune the model with minimal overhead.<\/li>\n<\/ul>\n<table>\n<tr>\n<th>Feature<\/th>\n<td>Value<\/td>\n<\/tr>\n<tr>\n<td>Parameter Count<\/td>\n<td>27 billion<\/td>\n<\/tr>\n<tr>\n<td>Quantization<\/td>\n<td>5-bit<\/td>\n<\/tr>\n<tr>\n<td>Architecture<\/td>\n<td>MLX<\/td>\n<\/tr>\n<tr>\n<td>Inference Latency<\/td>\n<td><50 ms (single GPU)<\/td>\n<\/tr>\n<\/table>\n<h4>Key Performance Indicators<\/h4>\n<ul>\n<li>Perplexity scores: Competitive across multiple NLP tasks<\/li>\n<li>Inference latency: Under 50 ms on a single GPU<\/li>\n<li>Memoization usage: Reduced compared to standard models<\/li>\n<\/ul>\n<h3>Solution Overview<\/h3>\n<p>The Qwen3.6-27B-MLX-5bit model is an optimized solution for NLP tasks, providing a balanced blend of accuracy, efficiency, and accessibility. Its compact footprint and fast inference times make it an attractive option for both research and production environments.<\/p>\n<h4>Benefits for Your Organization<\/h4>\n<ul>\n<li>Improved performance and accuracy in NLP tasks<\/li>\n<li>Reduced inference latency for faster development cycles<\/li>\n<li>Increased memory efficiency for reduced storage needs<\/li>\n<\/ul>\n<p>The Qwen3.6-27B-MLX-5bit model is an innovative solution that can help your organization stay ahead in the NLP game. With its cutting-edge architecture and optimized performance, it&#8217;s designed to deliver exceptional results while minimizing overhead.<\/p>\n<ul>\n<li>Downloader for ChatRTX updates incorporating custom folder indexing models<\/li>\n<li>Run Qwen3.6-27B-MLX-5bit Complete Walkthrough FREE<\/li>\n<li>Downloader pulling specialized summary generation models for local archives<\/li>\n<li>Zero-Click Run Qwen3.6-27B-MLX-5bit Offline on PC Dummy Proof Guide<\/li>\n<li>Downloader for optimized AnimateDiff v3 camera motion profiles for local video rendering<\/li>\n<li>Full Deployment Qwen3.6-27B-MLX-5bit FREE<\/li>\n<li>Downloader pulling hyper-efficient model variations tailored for mobile phone CPU tests<\/li>\n<li>Setup Qwen3.6-27B-MLX-5bit Dummy Proof Guide FREE<\/li>\n<\/ul>\n<p><a href='https:\/\/winningrestaurant.in\/category\/retrievers\/'>https:\/\/winningrestaurant.in\/category\/retrievers\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ud83d\uddc2 Hash: 6224eac0a2ab3846ac14aae1d557b42e \u2022 Last Updated: 2026-07-19 Verify Processor: Intel i7 \/ Ryzen 7 for heavy Quantized models RAM: at least 32 GB in dual-channel mode for bandwidth Disk: high-speed SSD 120 GB to cache model layers GPU: 16 GB+ video memory highly recommended for exl2 \/ AWQ formats Simplifying NLP with Qwen3.6-27B-MLX-5bit The Qwen3.6-27B-MLX-5bit [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"footnotes":""},"categories":[24],"tags":[],"class_list":["post-2704","post","type-post","status-publish","format-standard","hentry","category-workflows"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/nypbone.com\/zh\/wp-json\/wp\/v2\/posts\/2704","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nypbone.com\/zh\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/nypbone.com\/zh\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/nypbone.com\/zh\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/nypbone.com\/zh\/wp-json\/wp\/v2\/comments?post=2704"}],"version-history":[{"count":1,"href":"https:\/\/nypbone.com\/zh\/wp-json\/wp\/v2\/posts\/2704\/revisions"}],"predecessor-version":[{"id":2705,"href":"https:\/\/nypbone.com\/zh\/wp-json\/wp\/v2\/posts\/2704\/revisions\/2705"}],"wp:attachment":[{"href":"https:\/\/nypbone.com\/zh\/wp-json\/wp\/v2\/media?parent=2704"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/nypbone.com\/zh\/wp-json\/wp\/v2\/categories?post=2704"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/nypbone.com\/zh\/wp-json\/wp\/v2\/tags?post=2704"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}