{"id":5116,"date":"2026-09-27T07:06:53","date_gmt":"2026-09-26T22:06:53","guid":{"rendered":"https:\/\/localmodelwatch.tsuchitsuchi.com\/publisher-nari-en\/"},"modified":"2026-09-27T07:21:13","modified_gmt":"2026-09-26T22:21:13","slug":"publisher-nari-en","status":"publish","type":"page","link":"https:\/\/localmodelwatch.tsuchitsuchi.com\/en\/publisher-nari-en\/","title":{"rendered":"Nari Labs Open Models: Model List and Licenses"},"content":{"rendered":"<h2>About Nari Labs<\/h2>\n<p><strong>Nari Labs<\/strong> releases <strong>Dia, a text-to-speech model that generates dialogue<\/strong>, on its <a href=\"https:\/\/huggingface.co\/nari-labs\">nari-labs organization on Hugging Face<\/a>. It has only 4 models, but they have drawn attention as dialogue speech models you can run locally.<\/p>\n<h2>What It Releases<\/h2>\n<ul>\n<li><strong>Dia<\/strong> (April and June 2025): a 1.6B model that generates dialogue audio.<\/li>\n<li><strong>Dia2<\/strong> (November 2025): 1B and 2B <strong>streaming dialogue TTS models<\/strong>. According to the model card, they do not need the entire text to produce audio and can start generating from the first few words; conditioning on audio enables natural real-time conversations. Generation is limited to <strong>up to 2 minutes, in English only<\/strong>.<\/li>\n<\/ul>\n<h2>Licenses<\/h2>\n<p>Dia and Dia2 are <strong>Apache-2.0<\/strong>, broadly usable including commercially. Read each model&#8217;s license text before use. This summary is not legal advice.<\/p>\n<h2>Running Them Locally<\/h2>\n<ul>\n<li><strong>At 1B to 2B they are small, an easy size to try on consumer GPUs.<\/strong><\/li>\n<li><strong>There are no official GGUF builds<\/strong> (as of 2026-09-26); use the official inference code.<\/li>\n<li><strong>English is the only supported language<\/strong> (Dia2 model card).<\/li>\n<\/ul>\n<p><em>Sources: the model card of <a href=\"https:\/\/huggingface.co\/nari-labs\/Dia2-2B\">nari-labs\/Dia2-2B<\/a>; the model list of the nari-labs organization on Hugging Face (all as of 2026-09-26).<\/em><\/p>\n<h2>Our Coverage and Data<\/h2>\n<p>Local Model Watch has not published an article on Nari Labs&#8217;s models yet. The model list below is collected by code from Hugging Face every day. Part of our <a href=\"https:\/\/localmodelwatch.tsuchitsuchi.com\/en\/publishers-en\/\">publisher index<\/a>; model families link to their <a href=\"https:\/\/localmodelwatch.tsuchitsuchi.com\/en\/models-en\/\">family pages<\/a>.<\/p>\n<h2>At a Glance<\/h2>\n<div class=\"lmw-table-scroll\" tabindex=\"0\" style=\"overflow-x:auto;-webkit-overflow-scrolling:touch;max-width:100%;\">\n<table style=\"width:max-content;min-width:100%;border-collapse:collapse;\">\n<thead>\n<tr>\n<th>Item<\/th>\n<th>Value<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Hugging Face organization<\/td>\n<td><a href=\"https:\/\/huggingface.co\/nari-labs\">nari-labs<\/a><\/td>\n<\/tr>\n<tr>\n<td>Models on Hugging Face<\/td>\n<td>4<\/td>\n<\/tr>\n<tr>\n<td>Articles on its own models<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<td>Articles on derived models<\/td>\n<td>0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<h2>Recent Models on Hugging Face<\/h2>\n<p>The publisher lists <strong>4 models<\/strong> in total on Hugging Face. Below are up to 15 of the most recent generative models (text, image, video, audio and so on), the scope of this site, per organization. Classifiers, feature extractors, research components and repositories without a model card are omitted, and the publisher&#8217;s own quantized builds and helper variants are folded into the row of the original model. Parameter counts are left blank for repositories that pack weights into integer types, where Hugging Face&#8217;s count is not the real parameter count.<\/p>\n<div class=\"lmw-table-scroll\" tabindex=\"0\" style=\"overflow-x:auto;-webkit-overflow-scrolling:touch;max-width:100%;\">\n<p class=\"lmw-table-hint\" style=\"margin:0 0 4px;font-size:0.85em;opacity:0.7;\">\u2192 Scroll horizontally to see all columns<\/p>\n<table style=\"width:max-content;min-width:100%;border-collapse:collapse;\">\n<thead>\n<tr>\n<th>Released<\/th>\n<th>Model<\/th>\n<th>Task<\/th>\n<th>Parameters<\/th>\n<th>License<\/th>\n<th>Official variants<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>2025-11-15<\/td>\n<td><a href=\"https:\/\/huggingface.co\/nari-labs\/Dia2-2B\">nari-labs\/Dia2-2B<\/a><\/td>\n<td>audio<\/td>\n<td>1.9B<\/td>\n<td><code>apache-2.0<\/code><\/td>\n<td>\u2014<\/td>\n<\/tr>\n<tr>\n<td>2025-11-15<\/td>\n<td><a href=\"https:\/\/huggingface.co\/nari-labs\/Dia2-1B\">nari-labs\/Dia2-1B<\/a><\/td>\n<td>audio<\/td>\n<td>1.1B<\/td>\n<td><code>apache-2.0<\/code><\/td>\n<td>\u2014<\/td>\n<\/tr>\n<tr>\n<td>2025-06-26<\/td>\n<td><a href=\"https:\/\/huggingface.co\/nari-labs\/Dia-1.6B-0626\">nari-labs\/Dia-1.6B-0626<\/a><\/td>\n<td>audio<\/td>\n<td>1.6B<\/td>\n<td><code>apache-2.0<\/code><\/td>\n<td>\u2014<\/td>\n<\/tr>\n<tr>\n<td>2025-04-20<\/td>\n<td><a href=\"https:\/\/huggingface.co\/nari-labs\/Dia-1.6B\">nari-labs\/Dia-1.6B<\/a><\/td>\n<td>audio<\/td>\n<td>1.6B<\/td>\n<td><code>apache-2.0<\/code><\/td>\n<td>\u2014<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p><em>From the Hugging Face API. Last changed 2026-09-27 (JST). Collected by code.<\/em><\/p>\n<p><em>Last updated 2026-09-27 (JST). The explanation at the top of this page was written with the help of AI from the primary sources it cites. The tables and lists under &#8220;Our Coverage and Data&#8221; are assembled by code from our article log and the Hugging Face API.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>About Nari Labs Nari Labs releases Dia, a text-to-speech model that generates dialogue, on its nari-labs organization on Hugging Face. It has only 4 models, but they have drawn attention as dialogue speech models you can run locally. What It Releases Dia (April and June 2025): a 1.6B model that generates dialogue audio. Dia2 (November [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-5116","page","type-page","status-publish","hentry"],"lang":"en","translations":{"en":5116,"ja":5115},"_links":{"self":[{"href":"https:\/\/localmodelwatch.tsuchitsuchi.com\/en\/wp-json\/wp\/v2\/pages\/5116","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/localmodelwatch.tsuchitsuchi.com\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/localmodelwatch.tsuchitsuchi.com\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/localmodelwatch.tsuchitsuchi.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/localmodelwatch.tsuchitsuchi.com\/en\/wp-json\/wp\/v2\/comments?post=5116"}],"version-history":[{"count":1,"href":"https:\/\/localmodelwatch.tsuchitsuchi.com\/en\/wp-json\/wp\/v2\/pages\/5116\/revisions"}],"predecessor-version":[{"id":5167,"href":"https:\/\/localmodelwatch.tsuchitsuchi.com\/en\/wp-json\/wp\/v2\/pages\/5116\/revisions\/5167"}],"wp:attachment":[{"href":"https:\/\/localmodelwatch.tsuchitsuchi.com\/en\/wp-json\/wp\/v2\/media?parent=5116"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}