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\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alt=\"Qwen3-VL-8B-Instruct-FP8 via WebGPU (Browser) Full Speed NPU Mode\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>If you need a <i>near-instant local setup<\/i>, just fetch files via a basic <b>curl request<\/b>.<\/p>\n<p>Please <b>follow the instructions<\/b> listed below to get started.<\/p>\n<p> <\/p>\n<p><i>The engine will automatically fetch large dependencies in the background.<\/i><\/p>\n<p> <\/p>\n<p>The setup file includes a feature that <b>instantly optimizes all configurations<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:0 auto 50px;border-collapse:collapse;border-radius:18px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#f4f4f5;box-shadow:0 14px 28px rgba(0,0,0,0.06);\">\n<tr>\n<td style=\"padding:45px 55px;text-align:center;font-size:19px;color:#27272a;line-height:2.3;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:28px;padding-left:23px;margin-left:0;\">\n<li><b>Processor:<\/b> 6-core <b>3.5 GHz<\/b> minimum required<\/li>\n<li><strong>RAM:<\/strong> required: 16 GB <strong>absolute minimum<\/strong> for small models<\/li>\n<li><b>Disk Space:<\/b> 100 GB for multi-modal model vision components<\/li>\n<li><b>Graphics:<\/b> stable <b>30+ tk\/s<\/b> at 4-bit quantization on medium setup<\/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>Setup utility enabling DirectML acceleration in WebUI for Intel GPUs<\/li>\n<li>How to Launch Qwen3-VL-8B-Instruct-FP8 Windows 11 For Beginners<\/li>\n<li>Setup tool for automated flash-decoding setup on local GPUs<\/li>\n<li>How to Setup Qwen3-VL-8B-Instruct-FP8 on Your PC Uncensored Edition Offline Setup<\/li>\n<li>Installer configuring localized autogen multi-agent spaces with internal model nodes<\/li>\n<li>Quick Run Qwen3-VL-8B-Instruct-FP8 No Python Required FREE<\/li>\n<li>Installer configuring secure sandboxed execution for code models<\/li>\n<li>How to Deploy Qwen3-VL-8B-Instruct-FP8 Windows 11 Quantized GGUF 2026\/2027 Tutorial FREE<\/li>\n<li>Downloader pulling calibrated Flux.1-Lite safetensors for rapid image prototyping<\/li>\n<li>How to Install Qwen3-VL-8B-Instruct-FP8 Locally via LM Studio Full Method<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>If you need a near-instant local setup, just fetch files via a basic curl request. Please follow the instructions listed below to get started. The engine will automatically fetch large dependencies in the background. The setup file includes a feature that instantly optimizes all configurations. \ud83d\udcd8 Build Hash: f379d3ea7de25e27d834f8d4d95e6d46 \u2022 \ud83d\uddd3 2026-07-02 Verify Processor: 6-core &hellip; <a href=\"https:\/\/bepannam.com\/index.php\/2026\/07\/09\/qwen3-vl-8b-instruct-fp8-via-webgpu-browser-full-speed-npu-mode\/\">Readmore<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[],"class_list":["post-1624","post","type-post","status-publish","format-standard","hentry","category-weights"],"_links":{"self":[{"href":"https:\/\/bepannam.com\/index.php\/wp-json\/wp\/v2\/posts\/1624","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bepannam.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/bepannam.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/bepannam.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/bepannam.com\/index.php\/wp-json\/wp\/v2\/comments?post=1624"}],"version-history":[{"count":1,"href":"https:\/\/bepannam.com\/index.php\/wp-json\/wp\/v2\/posts\/1624\/revisions"}],"predecessor-version":[{"id":1625,"href":"https:\/\/bepannam.com\/index.php\/wp-json\/wp\/v2\/posts\/1624\/revisions\/1625"}],"wp:attachment":[{"href":"https:\/\/bepannam.com\/index.php\/wp-json\/wp\/v2\/media?parent=1624"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/bepannam.com\/index.php\/wp-json\/wp\/v2\/categories?post=1624"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/bepannam.com\/index.php\/wp-json\/wp\/v2\/tags?post=1624"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}