{"id":1572,"date":"2026-07-05T20:47:12","date_gmt":"2026-07-05T20:47:12","guid":{"rendered":"https:\/\/functional48.com\/?p=1572"},"modified":"2026-07-05T20:47:12","modified_gmt":"2026-07-05T20:47:12","slug":"vibevoice-asr-on-amd-nvidia-gpu-no-python-required-dummy-proof-guide","status":"publish","type":"post","link":"https:\/\/functional48.com\/index.php\/2026\/07\/05\/vibevoice-asr-on-amd-nvidia-gpu-no-python-required-dummy-proof-guide\/","title":{"rendered":"VibeVoice-ASR on AMD\/Nvidia GPU No Python Required Dummy Proof Guide"},"content":{"rendered":"<p><img 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alt=\"VibeVoice-ASR on AMD\/Nvidia GPU No Python Required Dummy Proof Guide\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>Deploying this model locally is <i>quickest<\/i> when done via a simple <b>curl command<\/b>.<\/p>\n<p>Proceed by following the <b>technical instructions<\/b> below.<\/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>Without any user input, the software <b>calibrates parameters for optimal hardware usage<\/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 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across a wide range of accents and domains. Built on a transformer\u2011based architecture, it supports <b>over 30 languages<\/b> and adapts seamlessly to both noisy and clean audio environments. Its <b>low\u2011latency pipeline<\/b> enables <i>real\u2011time transcription<\/i> with end\u2011to\u2011end processing times under 50\u202fms per utterance. Integrated with a proprietary language\u2011model fine\u2011tuning layer, the system maintains high contextual coherence while keeping computational requirements modest. Developers can easily integrate the model via a unified API that provides streaming support, confidence scores, and customizable vocabularies. The model has been benchmarked against leading open\u2011source alternatives, consistently achieving superior Word Error Rate (WER) scores in multilingual scenarios.    <\/p>\n<table>\n<tr>\n<td><b>Parameter<\/b><\/td>\n<td><b>VibeVoice-ASR<\/b><\/td>\n<td><b>Competing Model<\/b><\/td>\n<\/tr>\n<tr>\n<td>Supported Languages<\/td>\n<td>30+<\/td>\n<td>15<\/td>\n<\/tr>\n<tr>\n<td>Average WER (%)<\/td>\n<td><8<\/td>\n<td>12<\/td>\n<\/tr>\n<tr>\n<td>Real\u2011time Latency (ms)<\/td>\n<td><50<\/td>\n<td>70<\/td>\n<\/tr>\n<tr>\n<td>API Streaming<\/td>\n<td>Yes<\/td>\n<td>Yes<\/td>\n<\/tr>\n<\/table>\n<ol>\n<li>Downloader pulling calibrated Flux.1-Schnell safetensors for rapid image prototyping runs<\/li>\n<li>How to Launch VibeVoice-ASR 100% Private PC One-Click Setup Step-by-Step Windows<\/li>\n<li>Downloader pulling optimized segmentation models for local medical imaging<\/li>\n<li>VibeVoice-ASR on AMD\/Nvidia GPU One-Click Setup Step-by-Step<\/li>\n<li>Script downloading custom face-swapping weights for offline video suites<\/li>\n<li>How to Launch VibeVoice-ASR 100% Private PC with 1M Context<\/li>\n<li>Installer pre-loading tokenizers for offline text processing<\/li>\n<li>VibeVoice-ASR Zero Config Local Guide<\/li>\n<li>Installer deploying local bark audio generation pipelines with custom speaker tokens<\/li>\n<li>How to Autostart VibeVoice-ASR on Your PC with 1M Context Step-by-Step Windows FREE<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Deploying this model locally is quickest when done via a simple curl command. Proceed by following the technical instructions below. Be patient as the system self-retrieves massive model weights dynamically. Without any user input, the software calibrates parameters for optimal hardware usage. \ud83d\udcc4 Hash Value: 1fe7d69500c054648fa69814536d1af1 | \ud83d\udcc6 Update: 2026-06-29 Verify CPU: 8-core \/ 16-thread recommended for orchestration RAM: 32 GB highly recommended for 26B+ GGUF models Storage: extra room for future model updates and datasets GPU: 16 GB+ video memory highly recommended for exl2 \/ AWQ formats The VibeVoice-ASR model delivers state\u2011of\u2011the\u2011art speech recognition with exceptional accuracy across a\u2026<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0},"categories":[22],"tags":[],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":4}},"featured_image_urls":{"full":"","thumbnail":"","medium":"","medium_large":"","large":"","1536x1536":"","2048x2048":""},"post_excerpt_stackable":"<p>Deploying this model locally is quickest when done via a simple curl command. Proceed by following the technical instructions below. Be patient as the system self-retrieves massive model weights dynamically. Without any user input, the software calibrates parameters for optimal hardware usage. \ud83d\udcc4 Hash Value: 1fe7d69500c054648fa69814536d1af1 | \ud83d\udcc6 Update: 2026-06-29 Verify CPU: 8-core \/ 16-thread recommended for orchestration RAM: 32 GB highly recommended for 26B+ GGUF models Storage: extra room for future model updates and datasets GPU: 16 GB+ video memory highly recommended for exl2 \/ AWQ formats The VibeVoice-ASR model delivers state\u2011of\u2011the\u2011art speech recognition with exceptional accuracy across a&hellip;<\/p>\n","category_list":"<a href=\"https:\/\/functional48.com\/index.php\/category\/webuis\/\" rel=\"category tag\">WebUIs<\/a>","author_info":{"name":"jmeraz661","url":"https:\/\/functional48.com\/index.php\/author\/jmeraz661\/"},"comments_num":"0 comments","featured_image_urls_v2":{"full":"","thumbnail":"","medium":"","medium_large":"","large":"","1536x1536":"","2048x2048":""},"post_excerpt_stackable_v2":"<p>Deploying this model locally is quickest when done via a simple curl command. Proceed by following the technical instructions below. Be patient as the system self-retrieves massive model weights dynamically. Without any user input, the software calibrates parameters for optimal hardware usage. \ud83d\udcc4 Hash Value: 1fe7d69500c054648fa69814536d1af1 | \ud83d\udcc6 Update: 2026-06-29 Verify CPU: 8-core \/ 16-thread recommended for orchestration RAM: 32 GB highly recommended for 26B+ GGUF models Storage: extra room for future model updates and datasets GPU: 16 GB+ video memory highly recommended for exl2 \/ AWQ formats The VibeVoice-ASR model delivers state\u2011of\u2011the\u2011art speech recognition with exceptional accuracy across a&hellip;<\/p>\n","category_list_v2":"<a href=\"https:\/\/functional48.com\/index.php\/category\/webuis\/\" rel=\"category tag\">WebUIs<\/a>","author_info_v2":{"name":"jmeraz661","url":"https:\/\/functional48.com\/index.php\/author\/jmeraz661\/"},"comments_num_v2":"0 comments","_links":{"self":[{"href":"https:\/\/functional48.com\/index.php\/wp-json\/wp\/v2\/posts\/1572"}],"collection":[{"href":"https:\/\/functional48.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/functional48.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/functional48.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/functional48.com\/index.php\/wp-json\/wp\/v2\/comments?post=1572"}],"version-history":[{"count":1,"href":"https:\/\/functional48.com\/index.php\/wp-json\/wp\/v2\/posts\/1572\/revisions"}],"predecessor-version":[{"id":1573,"href":"https:\/\/functional48.com\/index.php\/wp-json\/wp\/v2\/posts\/1572\/revisions\/1573"}],"wp:attachment":[{"href":"https:\/\/functional48.com\/index.php\/wp-json\/wp\/v2\/media?parent=1572"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/functional48.com\/index.php\/wp-json\/wp\/v2\/categories?post=1572"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/functional48.com\/index.php\/wp-json\/wp\/v2\/tags?post=1572"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}