{"id":7617,"date":"2025-07-15T14:03:40","date_gmt":"2025-07-15T13:03:40","guid":{"rendered":"https:\/\/overdriven.fr\/overdriven\/?p=7617"},"modified":"2025-12-26T17:04:59","modified_gmt":"2025-12-26T16:04:59","slug":"nam-july-2025-progress-report","status":"publish","type":"post","link":"https:\/\/overdriven.fr\/overdriven\/index.php\/2025\/07\/15\/nam-july-2025-progress-report\/","title":{"rendered":"NAM: July 2025 Progress Report"},"content":{"rendered":"\n<p><strong>Neural Amp Modeler<\/strong> <strong>(NAM)<\/strong>, the AI-powered amp and gear modeling system created by Steve Atkinson, continues its steady evolution. The ecosystem is growing, and this post offers an overview of recent updates\u2014both to the system itself and to the software and hardware now compatible with NAM models.<br><\/p>\n\n\n\n\n\n\n<h2 class=\"wp-block-heading\"><strong>System &amp; Plugin: What\u2019s New<\/strong><\/h2>\n\n\n\n<p>My last <a href=\"https:\/\/overdriven.fr\/overdriven\/index.php\/2023\/05\/25\/nam-0-7-3-review\/\">review<\/a> of NAM dates back to May 2023, based on plugin version 0.7.3 (which was released May 12, 2023). Since then, the plugin has seen 10 updates, with the latest being version 0.7.13 released in December 2024. <\/p>\n\n\n\n<p>The model training system has also evolved significantly\u2014from version 0.5.2 (April 27, 2023) to version 0.12, across 15 updates.<\/p>\n\n\n\n<p>You can access the plugin and modeler repos here : <\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/github.com\/sdatkinson\/NeuralAmpModelerPlugin\/releases\">Github plugin repository<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/github.com\/sdatkinson\/neural-amp-modeler\/releases\">Github modeler repository<\/a><\/li>\n<\/ul>\n\n\n\n<p><strong>Quick Recap: How NAM Works<\/strong> <\/p>\n\n\n\n<p>As a reminder, the general workflow for creating and using a NAM model goes like this:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Re-amp a reference audio file<\/strong> using your gear (amp only, pedal, amp+cab, or other hardware).<\/li>\n\n\n\n<li><strong>Train the model<\/strong>, either:\n<ul class=\"wp-block-list\">\n<li>Locally (using Python and the NAM modeler)*,<\/li>\n\n\n\n<li>Through a Google Colab workspace (<a href=\"https:\/\/www.neuralampmodeler.com\/users\">link here<\/a>), or<\/li>\n\n\n\n<li>On <a href=\"https:\/\/www.tone3000.com\/\">tone3000.com<\/a> (see T3K section below).<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Load the model<\/strong> using:\n<ul class=\"wp-block-list\">\n<li>The NAM standalone app,<\/li>\n\n\n\n<li>The NAM plugin in your DAW,<\/li>\n\n\n\n<li>Or third-party platforms like <strong>Two-Notes Genome<\/strong>.<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n<p>While custom input files are supported, it\u2019s recommended to retain the intro and outro from the standard input file. The modeler expects specific signal markers to ensure accurate calibration.<\/p>\n\n\n\n<p>Note (*): two modeler options exist for local use: a GUI version and a CLI (command line) version. A GPU (such as an NVIDIA card) is strongly recommended.<\/p>\n\n\n\n<p><strong>Key System Improvements (Beyond Bug Fixes)<\/strong>  <\/p>\n\n\n\n<p>Here is a summary of major enhancements:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Addition of <strong>calibration metadata<\/strong>: lets users and plugins adjust gain levels to better match the source gear or the model creator&rsquo;s settings<\/li>\n\n\n\n<li>Introduction of <strong>V3 training files<\/strong> and robust file hash recognition<\/li>\n\n\n\n<li>Expanded metadata storage (e.g., sample rate now recorded in models)<\/li>\n\n\n\n<li>Support for <strong>Proteus training files<\/strong><\/li>\n\n\n\n<li><strong>Pre-training checks<\/strong> to flag input issues before processing<\/li>\n\n\n\n<li>Compatibility with <strong>non-24-bit\/48kHz<\/strong> training files<\/li>\n<\/ul>\n\n\n\n<p>So, the plugin now includes three output modes:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Raw<\/strong>: untouched model output<\/li>\n\n\n\n<li><strong>Normalized<\/strong>: NAM-standard volume<\/li>\n\n\n\n<li><strong>Calibrated<\/strong>: uses model\u2019s embedded calibration data (if available)<\/li>\n<\/ul>\n\n\n\n<p><\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img decoding=\"async\" src=\"https:\/\/overdriven.fr\/overdriven\/wp-content\/uploads\/2025\/07\/plugin_settings.png\" alt=\"\"\/><\/figure>\n<\/div>\n\n\n<p><\/p>\n\n\n\n<p>Steve Atkinson has documented the approach for calibration and provides advices on the NAM documentation site : \u00a0<a href=\"https:\/\/neural-amp-modeler.readthedocs.io\/en\/latest\/tutorials\/calibration.html\">https:\/\/neural-amp-modeler.readthedocs.io\/en\/latest\/tutorials\/calibration.html<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>NAM-Compatible Hardware &amp; Software<\/strong><\/h2>\n\n\n\n<p>The list of gear that can load or convert NAM models keeps growing. Some support NAM <strong>natively<\/strong>, others through <strong>conversion<\/strong>:<\/p>\n\n\n\n<p><strong>Hardware highlights<\/strong>:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Dimehead<\/strong> guitar loader (native)<\/li>\n\n\n\n<li><strong>Anagram<\/strong> by Darkglass for bass (native)<\/li>\n\n\n\n<li><strong>Hotone Ampero II<\/strong>, <strong>Valeton GP-200<\/strong>, <strong>Valeton GP-5<\/strong>, <strong>Sonicake Pocketmaster<\/strong>, and <strong>Sonicake Matribox II<\/strong> (via conversion)<\/li>\n\n\n\n<li><strong>Sonulab Stomptstation<\/strong> (conversion)<\/li>\n\n\n\n<li><strong>PolyEffects Ample<\/strong> (NAM models preloaded)<\/li>\n<\/ul>\n\n\n\n<p>And interestingly, <strong>Line6<\/strong> has hinted at possible open-source model support for the <strong>Helix Stadium<\/strong>\u2014though nothing is confirmed yet.<\/p>\n\n\n\n<p><\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img decoding=\"async\" src=\"https:\/\/overdriven.fr\/overdriven\/wp-content\/uploads\/2025\/07\/sonulab_stompstation.png\" alt=\"\"\/><figcaption class=\"wp-element-caption\">Sonulab Stompstation : a NAM-capable player in pedal format<\/figcaption><\/figure>\n<\/div>\n\n\n<p><\/p>\n\n\n\n<p><strong>Software highlights<\/strong>:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Sophisticated NAM-compatible players like <strong>WaveMind<\/strong> (unreviewed) and <strong>Tonocracy<\/strong>\u2014akin to <strong>Genome<\/strong> by Two-Notes<\/li>\n\n\n\n<li>Plugins that use NAM under the hood (closed-source implementations)<\/li>\n\n\n\n<li>Paid model collections from third-party developers<\/li>\n<\/ul>\n\n\n\n<p>A growing list of these companies and tools is available on the official NAM site: \u00a0<a href=\"https:\/\/www.neuralampmodeler.com\/\">https:\/\/www.neuralampmodeler.com\/<\/a>\u00a0<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img decoding=\"async\" src=\"https:\/\/overdriven.fr\/overdriven\/wp-content\/uploads\/2025\/07\/nam_partner_list-272x300.png\" alt=\"\"\/><\/figure>\n<\/div>\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Tone3000.com (a.k.a \u201cT3K\u201d)<\/strong><\/h2>\n\n\n\n<p>The community site formerly known as <strong>tonehunt.org<\/strong> wad relaunched in <strong>December 2024<\/strong> as <strong>tone3000.com<\/strong>. The platform is thriving, with over <strong>90,000 NAM models<\/strong> and <strong>1.3 million downloads<\/strong> as of June 2025 (<a href=\"https:\/\/www.thegearpage.net\/board\/index.php?threads\/i-built-something-free-gear-capture-with-tonezone3000.2603553\/page-2\">Source<\/a>).<\/p>\n\n\n\n<p><strong>Key Updates on T3K:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Built-in web player<\/strong> for instant previewing of NAM models and IRs<\/li>\n\n\n\n<li>Online <strong>model training with GPU support<\/strong><\/li>\n\n\n\n<li>Better Tone Pack tools: add\/edit models, upload promo images, tag links, refined filters<\/li>\n\n\n\n<li>Faster hosting and site performance<\/li>\n\n\n\n<li>Developer <strong>APIs<\/strong> for integration in plugins\/apps<\/li>\n\n\n\n<li><strong>Paid subscriptions<\/strong> coming for batch uploads and model training<\/li>\n\n\n\n<li>Upcoming <strong>T3K plugin<\/strong> to load models directly from the platform (probably similar to Tonex plugin\/Tone.net)<\/li>\n\n\n\n<li>T3K was involved in launching <strong>Darkglass Anagram<\/strong><\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Training Models on T3K<\/strong><\/h2>\n\n\n\n<p>As mentioned earlier in this article, Tone3000 now allows you to calculate your models online, and you will have the option to share them or not: there is a private\/public toggle switch on the collection for this.<\/p>\n\n\n\n<p>Uploading and training models on T3K is simple:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Upload input and reamped files<\/li>\n\n\n\n<li>Enter metadata<\/li>\n\n\n\n<li>Choose your settings<\/li>\n\n\n\n<li>The system queues your model for training, then it shows real-time progress bars and logs during processing<\/li>\n\n\n\n<li>Once completed, you can download your model and decide whether to keep it public or private<\/li>\n<\/ul>\n\n\n\n<p>The screen below shows a custom model calculated on T3K, with a preview of the result: <\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img decoding=\"async\" src=\"https:\/\/overdriven.fr\/overdriven\/wp-content\/uploads\/2025\/07\/t3K_model_preview-768x907.png\" alt=\"\"\/><\/figure>\n<\/div>\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Community power: NAM \u201cHD\u201d Models &amp; Anti-Aliasing<\/strong><\/h2>\n\n\n\n<p>One of the major advantages of open source\u2014and free\u2014solutions is that they generate significant interest and generate significant momentum. This is the case for users passionate about the NAM system, who invest a lot of time in experimentation and are responsible for some very interesting improvements. Since the model is open, it is possible to specify the NAM system&rsquo;s learning network parameters as well as the different layers desired in the calculated model, which impacts their complexity and accuracy.<\/p>\n\n\n\n<p>This approach was used by the system&rsquo;s designer to offer models that are simpler and less CPU-intensive than the standard NAM model (these are the Lite, Feather, and Nano models).<\/p>\n\n\n\n<p>But some users have gone the other way \ud83d\ude42 and are offering more accurate models: two new types of models are emerging: <strong>xStandard<\/strong>, a variant of Standard that consumes roughly the same CPU power, and the <strong>Complex<\/strong> model, promoted in particular by SlamminMofo (<a href=\"https:\/\/www.tone3000.com\/slamminmofo\">https:\/\/www.tone3000.com\/slamminmofo<\/a>), an experienced user of the system and very active on ToneGear.net.<\/p>\n\n\n\n<p>These complex models\u2014which could be described as \u00ab\u00a0<strong>NAM HD<\/strong>\u00ab\u00a0\u2014allow for very low ESRs and offer frequency reproduction with increased fidelity (according to my own tests). You&rsquo;ll find them on T3K by searching for the \u00ab\u00a0<strong>HyperAccuracy<\/strong>\u00a0\u00bb and \u00ab\u00a0<strong>HyperAccuracy+<\/strong>\u00a0\u00bb TonePacks. <strong><em>Be careful<\/em><\/strong>: you need a fast CPU to run them, and it&rsquo;s not certain that current hardware loaders will be able to keep up.<\/p>\n\n\n\n<p>For comparison, a standard NAM model weighs <strong>285 KB<\/strong>, a complex model <strong>2.9 MB<\/strong>. I have successfully tested them on recent OSX machines, with the NAM plugin and with Two-Notes Genome. Note also that &#8211; at this stage &#8211; you will need a local installation of the training system to create your own complex models.<\/p>\n\n\n\n<p>Another spectacular advance, also promoted &#8211; and notably &#8211; by SlamminMofo, is an approach to <strong>limiting aliasing<\/strong> in models. This approach consists &#8211; broadly speaking &#8211; of adding signals to the input file that allow the learning engine to eliminate frequencies generated by aliasing. This version of the input file is based on the standard NAM V3 input file to which these specific signals are added and is known as \u00ab\u00a0<strong>superinput<\/strong>\u00a0\u00bb or \u00ab\u00a0<strong>TTSV10<\/strong>\u00ab\u00a0:<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img decoding=\"async\" src=\"https:\/\/overdriven.fr\/overdriven\/wp-content\/uploads\/2025\/07\/ttsv10_reaper-768x92.png\" alt=\"\"\/><\/figure>\n<\/div>\n\n\n<p><\/p>\n\n\n\n<p>The result on the models are quite spectacular: below a model calculated with the standard input and a model calculated from TTSV10:<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img decoding=\"async\" src=\"https:\/\/overdriven.fr\/overdriven\/wp-content\/uploads\/2025\/07\/mt15v3_vs_mt15tts10-768x295.png\" alt=\"\"\/><\/figure>\n<\/div>\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Conclusion<\/h2>\n\n\n\n<p>Launched three years ago, NAM has undergone many developments and many improvements, and the system now unites a strong community of players: hardware and software companies, content creators, and both casual and advanced users. It also boasts a very extensive collection of models accessible through tone3000.com. Without a doubt, NAM has established itself as a benchmark system in the modeling world and will likely continue to become more and more accessible.<\/p>\n\n\n\n<p><strong>Congratulations to the members of this community, especially Steve Atkinson<\/strong>, who continues to develop NAM, and <strong>to Tone3000<\/strong>, who contributes significantly to making NAM accessible, as well as t<strong>o enthusiasts<\/strong> for their testing and sharing their recording techniques!<\/p>\n\n\n\n<p>If you&rsquo;re a bassist or guitarist and haven&rsquo;t tried it yet, I encourage you to do so without delay!<\/p>\n\n\n\n<p>David.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Neural Amp Modeler (NAM), the AI-powered amp and gear modeling system created by Steve Atkinson, continues its steady evolution. The ecosystem is growing, and this post offers an overview of recent updates\u2014both to the system itself and to the software&#8230; <a class=\"more-link\" href=\"https:\/\/overdriven.fr\/overdriven\/index.php\/2025\/07\/15\/nam-july-2025-progress-report\/\">Continue Reading &rarr;<\/a><\/p>\n","protected":false},"author":1,"featured_media":7763,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9],"tags":[12,168],"class_list":["post-7617","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-postsandnews","tag-english","tag-news-en"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>NAM: July 2025 Progress Report - Overdriven.fr<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/overdriven.fr\/overdriven\/index.php\/2025\/07\/15\/nam-july-2025-progress-report\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"NAM: July 2025 Progress Report - Overdriven.fr\" \/>\n<meta property=\"og:description\" content=\"Neural Amp Modeler (NAM), the AI-powered amp and gear modeling system created by Steve Atkinson, continues its steady evolution. 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The ecosystem is growing, and this post offers an overview of recent updates\u2014both to the system itself and to the software... 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