{"id":623,"date":"2026-07-06T12:59:11","date_gmt":"2026-07-06T12:59:11","guid":{"rendered":"https:\/\/middletv.com\/?p=623"},"modified":"2026-07-06T12:59:11","modified_gmt":"2026-07-06T12:59:11","slug":"how-to-deploy-lfm2-5-vl-450m-pc-with-npu-for-low-vram-6gb-8gb","status":"publish","type":"post","link":"https:\/\/middletv.com\/?p=623","title":{"rendered":"How to Deploy LFM2.5-VL-450M PC with NPU For Low VRAM (6GB\/8GB)"},"content":{"rendered":"<p><img decoding=\"async\" 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alt=\"How to Deploy LFM2.5-VL-450M PC with NPU For Low VRAM (6GB\/8GB)\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>To install this model locally in the <i>shortest time<\/i>, opt for a direct <b>curl execution<\/b>.<\/p>\n<p>Refer to the <b>instructions below<\/b> to proceed.<\/p>\n<p> <\/p>\n<p><i>Be patient as the system self-retrieves massive model weights dynamically.<\/i><\/p>\n<p> <\/p>\n<p>There is no manual tuning required; the builder <b>deploys the best matching configuration<\/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: 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\/><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><b>RAM:<\/b> 48 GB needed to <b>prevent memory swapping<\/b> to disk<\/li>\n<li><strong>Disk Space:<\/strong> at least 100 GB for <strong>multiple local<\/strong> LLM variants<\/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<p>The <b>LFM2.5-VL-450M<\/b> is a state\u2011of\u2011the\u2011art multimodal language model that combines advanced vision and language understanding in a single unified architecture. It leverages a <i>large\u2011scale contrastive pre\u2011training<\/i> regimen that aligns image embeddings with textual representations, enabling precise cross\u2011modal retrieval. With <b>450 million parameters<\/b>, the model achieves competitive performance on benchmark datasets while maintaining a relatively small memory footprint. Its design incorporates a <i>hierarchical attention mechanism<\/i> that dynamically focuses on salient visual regions and contextual words, improving coherence in generated captions. The model supports real\u2011time inference on consumer\u2011grade hardware and is optimized for integration into applications requiring robust visual\u2011language tasks such as image captioning, visual question answering, and content moderation. It was trained on a diverse collection of publicly available image\u2011text pairs and curated domain\u2011specific datasets, ensuring broad coverage and reduced bias.    <\/p>\n<table>\n<tr>\n<td><b>Parameters<\/b><\/td>\n<td>450\u202fM<\/td>\n<\/tr>\n<tr>\n<td><b>Input Modalities<\/b><\/td>\n<td>Text, Images<\/td>\n<\/tr>\n<tr>\n<td><b>Output Modalities<\/b><\/td>\n<td>Text (captions, Q&#038;A), Image tags<\/td>\n<\/tr>\n<tr>\n<td><b>Training Data<\/b><\/td>\n<td>Public image\u2011text pairs + curated datasets<\/td>\n<\/tr>\n<tr>\n<td><b>Inference Speed<\/b><\/td>\n<td>Real\u2011time on consumer GPUs<\/td>\n<\/tr>\n<\/table>\n<ul>\n<li>Installer pre-loading tokenizers for offline text processing<\/li>\n<li>LFM2.5-VL-450M 100% Private PC with Native FP4 Step-by-Step<\/li>\n<li>Script downloading custom LoRA weights for high-fidelity SDXL cinematic designs<\/li>\n<li>How to Run LFM2.5-VL-450M For Low VRAM (6GB\/8GB) Offline Setup<\/li>\n<li>Script automating download of Stable Diffusion 3.5 Turbo hyper-networks locally<\/li>\n<li>LFM2.5-VL-450M Offline on PC<\/li>\n<li>Script automating parallel down-streaming of sharded Hugging Face model chunks safely<\/li>\n<li>Install LFM2.5-VL-450M Locally (No Cloud) FREE<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>To install this model locally in the shortest time, opt for a direct curl execution. Refer to the instructions below to proceed. [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[39],"tags":[],"class_list":["post-623","post","type-post","status-publish","format-standard","hentry","category-webuis"],"_links":{"self":[{"href":"https:\/\/middletv.com\/index.php?rest_route=\/wp\/v2\/posts\/623","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/middletv.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/middletv.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/middletv.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/middletv.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=623"}],"version-history":[{"count":1,"href":"https:\/\/middletv.com\/index.php?rest_route=\/wp\/v2\/posts\/623\/revisions"}],"predecessor-version":[{"id":624,"href":"https:\/\/middletv.com\/index.php?rest_route=\/wp\/v2\/posts\/623\/revisions\/624"}],"wp:attachment":[{"href":"https:\/\/middletv.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=623"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/middletv.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=623"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/middletv.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=623"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}