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alt=\"Full Deployment Qwen3.5-122B-A10B-FP8 Locally (No Cloud) Quantized GGUF Offline Setup\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/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 style=\"font-size:15px;color:#263238;font-family:'Fira Code';\">\ud83d\udee1\ufe0f Checksum: bad42098a50e3484ad118b58feb18be7 \u2014 <span style=\"color:#666;\">\u23f0 Updated on: 2026-07-21<\/span><\/div>\n<table style=\"width:100%;border-collapse:separate;border-spacing:0 15px;font-family:'Segoe UI',sans-serif;margin-top:30px;\">\n<tr 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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:22px;padding-left:17px;margin-left:0;\">\n<li><strong>Processor:<\/strong> high <strong>single-core<\/strong> performance needed for token latency<\/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><b>Graphics:<\/b> TensorRT-LLM \/ vLLM <b>inference engine<\/b> compatible chip<\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<h4>The Qwen3.5-122B-A10B-FP8 Model: A Performance Powerhouse for Large Language Tasks<\/h4>\n<p>The Qwen3.5-122B-A10B-FP8 model is a cutting-edge language processing architecture designed to tackle the most complex large language tasks with ease. Its massive 122 billion parameters and optimized A10B architecture make it a formidable opponent in NLP competitions.\u2022 **Advantages**:     \u2022 High-performance computing capabilities    \u2022 Optimized for efficient memory usage\u2022 **Disadvantages**:    \u2022 Requires significant computational resources    \u2022 May be sensitive to noise or outliers<\/p>\n<h4>Benchmarks and Performance<\/h4>\n<p>The Qwen3.5-122B-A10B-FP8 model has demonstrated exceptional performance across various NLP tasks, outperforming its predecessors by a substantial margin. Its strengths in reasoning and code generation have made it an attractive choice for applications that require high-quality outputs.\u2022 **Reasoning**:     \u2022 Exhibits strong ability to understand complex relationships    \u2022 Produces accurate and coherent responses\u2022 **Code Generation**:    \u2022 Generates high-quality, readable code    \u2022 Supports various programming languages<\/p>\n<h4>Technical Specifications<\/h4>\n<table>\n<tr>\n<th>Specification<\/th>\n<th>Value<\/th>\n<\/tr>\n<tr>\n<td>Parameters<\/td>\n<td>122 B<\/td>\n<\/tr>\n<tr>\n<td>Precision<\/td>\n<td>FP8<\/td>\n<\/tr>\n<tr>\n<td>Architecture<\/td>\n<td>A10B<\/td>\n<\/tr>\n<\/table>\n<h4>Conclusion and Future Directions<\/h4>\n<p>The Qwen3.5-122B-A10B-FP8 model offers unparalleled performance for large language tasks, making it an attractive choice for developers and researchers alike. As the field of NLP continues to evolve, this model will undoubtedly play a significant role in shaping its future.\u2022 **Future Developments**:    \u2022 Continued optimization for improved efficiency    \u2022 Integration with other AI models for enhanced capabilities\u2022 **Challenges Ahead**:    \u2022 Addressing issues related to data quality and bias<\/p>\n<ul>\n<li>Downloader pulling vision-encoder model layers for local automated drone testing frameworks<\/li>\n<li>How to Run Qwen3.5-122B-A10B-FP8 Locally via Ollama 2 Windows<\/li>\n<li>Installer configuring localized guardrail classification models for input-output filtering layers<\/li>\n<li>How to Launch Qwen3.5-122B-A10B-FP8 Direct EXE Setup<\/li>\n<li>Script downloading modern cross-encoder weights for refining local RAG pipelines<\/li>\n<li>Quick Run Qwen3.5-122B-A10B-FP8 100% Private PC Zero Config 5-Minute Setup<\/li>\n<li>Installer setting up SillyTavern interface optimized for KoboldCPP 2.00+ nodes<\/li>\n<li>Qwen3.5-122B-A10B-FP8 PC with NPU One-Click Setup Offline Setup FREE<\/li>\n<li>Installer configuring localized context shift parameters for massive documentation enterprise data pipelines<\/li>\n<li>How to Setup Qwen3.5-122B-A10B-FP8 PC with NPU Step-by-Step<\/li>\n<\/ul>\n<p><a href='https:\/\/anantaseva.org\/category\/lite\/'>https:\/\/anantaseva.org\/category\/lite\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ud83d\udee1\ufe0f Checksum: bad42098a50e3484ad118b58feb18be7 \u2014 \u23f0 Updated on: 2026-07-21 Verify Processor: high single-core performance needed for token latency RAM: at least 32 GB in dual-channel mode [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","footnotes":""},"categories":[26],"tags":[],"class_list":["post-1126","post","type-post","status-publish","format-standard","hentry","category-loaders"],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"Guenot Francois","author_link":"https:\/\/toitilux.com\/index.php\/author\/toitilux\/"},"uagb_comment_info":0,"uagb_excerpt":"\ud83d\udee1\ufe0f Checksum: bad42098a50e3484ad118b58feb18be7 \u2014 \u23f0 Updated on: 2026-07-21 Verify Processor: high single-core performance needed for token latency RAM: at least 32 GB in dual-channel mode [&hellip;]","_links":{"self":[{"href":"https:\/\/toitilux.com\/index.php\/wp-json\/wp\/v2\/posts\/1126","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/toitilux.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/toitilux.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/toitilux.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/toitilux.com\/index.php\/wp-json\/wp\/v2\/comments?post=1126"}],"version-history":[{"count":1,"href":"https:\/\/toitilux.com\/index.php\/wp-json\/wp\/v2\/posts\/1126\/revisions"}],"predecessor-version":[{"id":1127,"href":"https:\/\/toitilux.com\/index.php\/wp-json\/wp\/v2\/posts\/1126\/revisions\/1127"}],"wp:attachment":[{"href":"https:\/\/toitilux.com\/index.php\/wp-json\/wp\/v2\/media?parent=1126"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/toitilux.com\/index.php\/wp-json\/wp\/v2\/categories?post=1126"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/toitilux.com\/index.php\/wp-json\/wp\/v2\/tags?post=1126"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}