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alt=\"Run gemma-4-26B-A4B-it Full Speed NPU Mode Windows\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>The <i>fastest way<\/i> to get this model running locally is via <b>Optional Features<\/b>.<\/p>\n<p>Please <b>follow the instructions<\/b> listed below to get started.<\/p>\n<p> <\/p>\n<p><i>The system automatically triggers a cloud download for all heavy weights.<\/i><\/p>\n<p> <\/p>\n<p>The program scans your VRAM and RAM to <b>seamlessly apply optimal 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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architecture with optimized inference performance. It leverages an attention-sparse design that reduces computational load while maintaining high fidelity in both factual and creative tasks. The model supports a 2048-token context window and incorporates a refined instruction-tuning pipeline that improves alignment with user intent.\u2022 Advanced features include:\t+ Multi-task learning for improved generalization\t+ Pre-training on web-scale multilingual corpus\t+ Fine-tuned for specific domains and languages<\/p>\n<h4>Key Performance Metrics<\/h4>\n<table>\n<tr>\n<th>Metric<\/th>\n<th>Value<\/th>\n<\/tr>\n<tr>\n<td>Parameters<\/td>\n<td>26 B<\/td>\n<\/tr>\n<tr>\n<td>Context Length<\/td>\n<td>2048 tokens<\/td>\n<\/tr>\n<tr>\n<td>Training Data<\/td>\n<td>Web-scale multilingual corpus<\/td>\n<\/tr>\n<tr>\n<td>Inference Speed<\/td>\n<td>~120 tokens\/s on GPU<\/td>\n<\/tr>\n<\/table>\n<h3>Potential Applications and Use Cases<\/h3>\n<p>1. Technical writing and documentation2. Conversational AI for customer support3. Language translation and localization4. Content generation for social mediaQ: What makes the gemma-4-26B-A4B-it model unique?A: Its attention-sparse design reduces computational load while maintaining high fidelity in both factual and creative tasks.Q: Can I integrate this model into my existing production environment?A: Yes, users can integrate the model via standard APIs, benefiting from its balanced trade-off between size, speed, and capability.<\/p>\n<ol>\n<li>Downloader pulling calibrated Flux.1-Schnell safetensors for rapid high-resolution image prototyping<\/li>\n<li>Zero-Click Run gemma-4-26B-A4B-it Offline on PC Direct EXE Setup FREE<\/li>\n<li>Installer deploying deep semantic index tools requiring zero cloud configurations or lookups<\/li>\n<li>gemma-4-26B-A4B-it PC with NPU Step-by-Step FREE<\/li>\n<li>Setup tool installing LocalAI runtime with full DeepSeek-Coder support<\/li>\n<li>How to Setup gemma-4-26B-A4B-it 100% Private PC Full Speed NPU Mode<\/li>\n<li>Setup utility adjusting flash-decoding memory buffers within local runtime space architecture configurations<\/li>\n<li>Setup gemma-4-26B-A4B-it on Copilot+ PC Local Guide FREE<\/li>\n<li>Setup tool tweaking Windows paging files for heavy VRAM offloading tasks<\/li>\n<li>Full Deployment gemma-4-26B-A4B-it PC with NPU Zero Config FREE<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>The fastest way to get this model running locally is via Optional Features. Please follow the instructions listed below to get started. The system automatically triggers a cloud download for all heavy weights. The program scans your VRAM and RAM to seamlessly apply optimal configurations. \ud83d\udcc4 Hash Value: c99bc5b4773a5366dbcb830ca43f3906 | \ud83d\udcc6 Update: 2026-07-08 Verify CPU: &hellip; <a href=\"https:\/\/bepannam.com\/index.php\/2026\/07\/12\/run-gemma-4-26b-a4b-it-full-speed-npu-mode-windows\/\">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-1652","post","type-post","status-publish","format-standard","hentry","category-weights"],"_links":{"self":[{"href":"https:\/\/bepannam.com\/index.php\/wp-json\/wp\/v2\/posts\/1652","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=1652"}],"version-history":[{"count":1,"href":"https:\/\/bepannam.com\/index.php\/wp-json\/wp\/v2\/posts\/1652\/revisions"}],"predecessor-version":[{"id":1653,"href":"https:\/\/bepannam.com\/index.php\/wp-json\/wp\/v2\/posts\/1652\/revisions\/1653"}],"wp:attachment":[{"href":"https:\/\/bepannam.com\/index.php\/wp-json\/wp\/v2\/media?parent=1652"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/bepannam.com\/index.php\/wp-json\/wp\/v2\/categories?post=1652"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/bepannam.com\/index.php\/wp-json\/wp\/v2\/tags?post=1652"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}