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alt=\"tiny-Qwen2_5_VLForConditionalGeneration on Copilot+ PC Full Method\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>The <i>fastest method<\/i> for installing this model locally is by using <b>Docker<\/b>.<\/p>\n<p>Follow the <b>guidelines<\/b> below to continue.<\/p>\n<p> <\/p>\n<p><i>The setup auto-streams the model assets (expect a multi-GB download).<\/i><\/p>\n<p> <\/p>\n<p>The smart installation system will instantly <b>find the perfect configuration<\/b> for your specific hardware.<\/p>\n<table style=\"width:800px;max-width:800px;margin:0 auto 50px;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 30px rgba(0,0,0,0.06);border:1px solid rgba(0,0,0,0.03);\">\n<tr>\n<td style=\"padding:40px 50px;text-align:center;font-size:18px;color:#2d3748;line-height:1.8;letter-spacing:-0.01em;\">\n<div style=\"text-align: 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It employs a <i>cross\u2011modal attention<\/i> mechanism that tightly aligns textual prompts with visual features while preserving a small memory footprint. With only <b>1.8\u202fB parameters<\/b>, the architecture delivers competitive results on benchmarks such as VQA and text\u2011to\u2011image generation. The model also supports <i>streaming inference<\/i> and can process images up to <b>1024\u00d71024 resolution<\/b> in real time on consumer hardware. A comparison table below illustrates its advantages over larger baselines, highlighting superior accuracy\u2011to\u2011size ratios and lower latency.    <\/p>\n<table>\n<tr>\n<td><b>Model<\/b><\/td>\n<td>tiny\u2011Qwen2_5_VLForConditionalGeneration<\/td>\n<\/tr>\n<tr>\n<td><b>Parameters<\/b><\/td>\n<td>1.8\u202fB<\/td>\n<\/tr>\n<tr>\n<td><b>VQA Accuracy<\/b><\/td>\n<td>73.5%<\/td>\n<\/tr>\n<tr>\n<td><b>Latency (ms)<\/b><\/td>\n<td>45<\/td>\n<\/tr>\n<\/table>\n<ol>\n<li>Downloader pulling enhanced voice profiles for local Fish-Speech voiceover rigs<\/li>\n<li>How to Launch tiny-Qwen2_5_VLForConditionalGeneration PC with NPU For Low VRAM (6GB\/8GB) FREE<\/li>\n<li>Script fetching minimal terminal-based chat client binaries with full markdown logs<\/li>\n<li>How to Install tiny-Qwen2_5_VLForConditionalGeneration Locally via Ollama 2 Dummy Proof Guide<\/li>\n<li>Downloader pulling ultra-dense EXL2 quantizations of complex visual-language structural architectures<\/li>\n<li>How to Setup tiny-Qwen2_5_VLForConditionalGeneration Locally via LM Studio Local Guide FREE<\/li>\n<li>Downloader pulling custom frame-interpolation models for local Stable Video Diffusion stacks<\/li>\n<li>Full Deployment tiny-Qwen2_5_VLForConditionalGeneration Windows 10 Dummy Proof Guide FREE<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>The fastest method for installing this model locally is by using Docker. Follow the guidelines below to continue. The setup auto-streams the model assets (expect a multi-GB download). 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