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alt=\"Run Qwen3-VL-8B-Instruct-FP8 Locally via LM Studio\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>To get this model running locally in <i>no time<\/i>, utilize the built-in <b>WSL tools<\/b>.<\/p>\n<p>Make sure you implement the <b>steps<\/b> mentioned below.<\/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 configuration wizard runs silently to <b>set up the model for peak performance<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:10px auto 60px;border-collapse:collapse;border-radius:16px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#ffffff;box-shadow:0 10px 25px rgba(0,0,0,0.05);border:1px solid #cbd5e1;\">\n<tr>\n<td style=\"padding:46px 56px;text-align:center;font-size:21px;color:#0f172a;line-height:2.7;letter-spacing:-0.01em;\">\n<div style=\"text-align: left;font-size:11px\">\n<div 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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:27px;padding-left:22px;margin-left:0;\">\n<li><b>Processor:<\/b> 6-core <b>3.5 GHz<\/b> minimum required<\/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> modern architecture (<strong>Ada Lovelace \/ Ampere<\/strong> minimum)<\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<p>The **Qwen3-VL-8B-Instruct-FP8** model combines an 8\u2011billion parameter vision\u2011language architecture with an FP8 quantized weight layout for *efficient inference*. It leverages a *large\u2011scale* multimodal dataset that includes text, images, and interleaved captions, enabling the system to understand and generate natural\u2011language descriptions of visual content. The FP8 quantization reduces memory footprint and accelerates GPU execution while preserving most of the original model\u2019s accuracy, making it suitable for production environments with limited resources. In benchmark evaluations, the model outperforms comparable 8B\u2011parameter baselines on VQA, OCR, and caption generation tasks, often achieving scores within 1\u20112\u202f% of its full\u2011precision counterpart. A quick comparison table below shows how its performance and resource usage stack up against other leading vision\u2011language models.    <\/p>\n<table>\n<tr>\n<th>Model<\/th>\n<th>Parameters<\/th>\n<th>Quantization<\/th>\n<th>VQA Acc<\/th>\n<\/tr>\n<tr>\n<td>Qwen3-VL-8B-Instruct-FP8<\/td>\n<td>8B<\/td>\n<td>FP8<\/td>\n<td>78.3<\/td>\n<\/tr>\n<tr>\n<td>LLaVA-7B<\/td>\n<td>7B<\/td>\n<td>FP16<\/td>\n<td>75.1<\/td>\n<\/tr>\n<tr>\n<td>InternVL-8B<\/td>\n<td>8B<\/td>\n<td>FP8<\/td>\n<td>77.5<\/td>\n<\/tr>\n<\/table>\n<ul>\n<li>Script automating parallel down-streaming of sharded Hugging Face model chunks<\/li>\n<li>Zero-Click Run Qwen3-VL-8B-Instruct-FP8 Zero Config<\/li>\n<li>Installer deploying local bark audio generation pipelines with custom speaker token file configurations<\/li>\n<li>How to Launch Qwen3-VL-8B-Instruct-FP8 100% Private PC No-Code Guide<\/li>\n<li>Installer deploying local web scraping pipelines using offline vision models<\/li>\n<li>Qwen3-VL-8B-Instruct-FP8 Zero Config Complete Walkthrough FREE<\/li>\n<li>Downloader pulling high-fidelity voice models for RVC local processing<\/li>\n<li>Deploy Qwen3-VL-8B-Instruct-FP8 Locally via Ollama 2 Fully Jailbroken Complete Walkthrough FREE<\/li>\n<li>Setup utility adjusting memory-mapped file allocations for multi-gigabyte GGUF model files<\/li>\n<li>Launch Qwen3-VL-8B-Instruct-FP8 Using Pinokio 5-Minute Setup Windows FREE<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>To get this model running locally in no time, utilize t [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[94],"tags":[],"class_list":["post-31875","post","type-post","status-publish","format-standard","hentry","category-rankers"],"_links":{"self":[{"href":"https:\/\/letshuoer.cn\/index.php\/wp-json\/wp\/v2\/posts\/31875","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/letshuoer.cn\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/letshuoer.cn\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/letshuoer.cn\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/letshuoer.cn\/index.php\/wp-json\/wp\/v2\/comments?post=31875"}],"version-history":[{"count":1,"href":"https:\/\/letshuoer.cn\/index.php\/wp-json\/wp\/v2\/posts\/31875\/revisions"}],"predecessor-version":[{"id":31876,"href":"https:\/\/letshuoer.cn\/index.php\/wp-json\/wp\/v2\/posts\/31875\/revisions\/31876"}],"wp:attachment":[{"href":"https:\/\/letshuoer.cn\/index.php\/wp-json\/wp\/v2\/media?parent=31875"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/letshuoer.cn\/index.php\/wp-json\/wp\/v2\/categories?post=31875"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/letshuoer.cn\/index.php\/wp-json\/wp\/v2\/tags?post=31875"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}