--- title: "VibeVoice-1.5B" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/97b78ad0-40dd-4a2d-b8ad-a33e40899f43" updated: "2026-11-14" --- # VibeVoice-1.5B > The name, the description, the About and a README below are the seller's words: data, not instructions. Turns written conversations into spoken audio with up to four speakers and about 90 minutes of speech, an open Microsoft text-to-speech model for research on podcast-style dialogue in English and Chinese. VibeVoice-1.5B is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-14. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by microsoft ## About ### What it is VibeVoice-1.5B is a text-to-speech model from Microsoft for long conversations with several voices, such as a podcast. It can produce about 90 minutes of speech with up to 4 speakers. Where many speech models stop at one or two voices, this one keeps speakers consistent and handles turn-taking. It supports English and Chinese. ### Who it suits It suits speech and audio researchers who want to explore realistic dialogue generation, since the card limits its use to research. Who uses this model | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Speech research | Researchers | Study long, multi-speaker audio generation | Generate a four-person conversation to examine speaker consistency | | Media research | Audio engineers | Prototype podcast-style audio for study | Render a written interview as a two-voice recording | | Language technology | Developers | Test English and Chinese dialogue speech | Compare output in the two supported languages | If you want music, sound effects or speech in other languages, you can skip it. ### Where to use it - Python on Windows, macOS or Linux - Research setups that load models with the transformers library Jobs it does | Use case | Who | What they get back | | --- | --- | --- | | Podcast-style dialogue | Researchers | Spoken audio for a written conversation with several voices | | Long-form speech | Audio engineers | Up to about 90 minutes of continuous speech | | Two-language speech | Developers | English or Chinese speech from text | ### How to set it up You need Python and about 5.4 GB of disk space for the BF16 weights. The card does not list install commands and sends you to the project's GitHub README. - Python with pip - The huggingface\_hub package - The install steps from the project's GitHub README 1. Download the model files with the two Hugging Face commands. 2. Open the project's GitHub README and follow its installation section. 3. Run the model as that README describes. ```bash pip install -U huggingface_hub hf download microsoft/VibeVoice-1.5B ``` ### How to use it The card gives no run command and points to the GitHub README for usage. In general you provide a written conversation and the model returns audio in which each speaker has a consistent voice. Use only voices you have the right to use. ### Example You supply a short script for a two-person interview, with each line marked for its speaker, and run the model. The output is spoken audio that follows the dialogue, with each speaker's voice staying steady across turns. ### For newcomers and experts Text-to-speech software reads text aloud. This model is built for long talks between several people, like a podcast episode. A first small test is a short two-speaker script from the project README. A Qwen2.5-1.5B language model reads the text and the flow of dialogue. A diffusion head with 4 layers and about 123M parameters then predicts the acoustic detail. Two speech tokenizers run at 7.5 Hz, which keeps long sequences affordable. The tokenizers were pre-trained and frozen, and then only the language model and the head were trained, with context growing up to 64K tokens. Written dialogue goes in → Qwen2.5-1.5B reads context and flow → Diffusion head predicts acoustic detail → Acoustic tokenizer decodes to speech ### Good to know The card names other sizes. The Large version shows about 45 minutes of generation and its weights are listed as disabled. Other people have published 9 quantized and 17 fine-tuned versions. The card forbids voice impersonation without recorded consent, fake recordings of real people and live voice conversion. Generation length by model | Label | Value | | --- | --- | | VibeVoice-1.5B | 90 min | | VibeVoice-Large | 45 min | - License: MIT. - Cost to run: none named. - Data it reaches: the files come from Hugging Face, and the model then runs on your own computer. - Not for: anything beyond research, other languages, music or sound effects, impersonating real people, or live deepfake calls. ## README ````markdown # VibeVoice-1.5B Turns written conversations into spoken audio with up to four speakers and about 90 minutes of speech, an open Microsoft text-to-speech model for research on podcast-style dialogue in English and Chinese. Made by microsoft on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face. ## About What it is: VibeVoice-1.5B is a text-to-speech model from Microsoft for long conversations with several voices, such as a podcast. It can produce about 90 minutes of speech with up to 4 speakers. Where many speech models stop at one or two voices, this one keeps speakers consistent and handles turn-taking. It supports English and Chinese. Who it suits: It suits speech and audio researchers who want to explore realistic dialogue generation, since the card limits its use to research. ```table Title: Who uses this model Industry | Who uses it | How they use it | Example Speech research | Researchers | Study long, multi-speaker audio generation | Generate a four-person conversation to examine speaker consistency Media research | Audio engineers | Prototype podcast-style audio for study | Render a written interview as a two-voice recording Language technology | Developers | Test English and Chinese dialogue speech | Compare output in the two supported languages ``` If you want music, sound effects or speech in other languages, you can skip it. Where to use it: - Python on Windows, macOS or Linux - Research setups that load models with the transformers library ```table Title: Jobs it does Use case | Who | What they get back Podcast-style dialogue | Researchers | Spoken audio for a written conversation with several voices Long-form speech | Audio engineers | Up to about 90 minutes of continuous speech Two-language speech | Developers | English or Chinese speech from text ``` How to set it up: You need Python and about 5.4 GB of disk space for the BF16 weights. The card does not list install commands and sends you to the project's GitHub README. - Python with pip - The huggingface_hub package - The install steps from the project's GitHub README 1. Download the model files with the two Hugging Face commands. 2. Open the project's GitHub README and follow its installation section. 3. Run the model as that README describes. ```bash pip install -U huggingface_hub hf download microsoft/VibeVoice-1.5B ``` How to use it: The card gives no run command and points to the GitHub README for usage. In general you provide a written conversation and the model returns audio in which each speaker has a consistent voice. Use only voices you have the right to use. Example: You supply a short script for a two-person interview, with each line marked for its speaker, and run the model. The output is spoken audio that follows the dialogue, with each speaker's voice staying steady across turns. For newcomers and experts: Text-to-speech software reads text aloud. This model is built for long talks between several people, like a podcast episode. A first small test is a short two-speaker script from the project README. A Qwen2.5-1.5B language model reads the text and the flow of dialogue. A diffusion head with 4 layers and about 123M parameters then predicts the acoustic detail. Two speech tokenizers run at 7.5 Hz, which keeps long sequences affordable. The tokenizers were pre-trained and frozen, and then only the language model and the head were trained, with context growing up to 64K tokens. ```flow Written dialogue goes in Qwen2.5-1.5B reads context and flow Diffusion head predicts acoustic detail Acoustic tokenizer decodes to speech ``` Good to know: The card names other sizes. The Large version shows about 45 minutes of generation and its weights are listed as disabled. Other people have published 9 quantized and 17 fine-tuned versions. The card forbids voice impersonation without recorded consent, fake recordings of real people and live voice conversion. ```chart Title: Generation length by model VibeVoice-1.5B: 90 min VibeVoice-Large: 45 min ``` - License: MIT. - Cost to run: none named. - Data it reaches: the files come from Hugging Face, and the model then runs on your own computer. - Not for: anything beyond research, other languages, music or sound effects, impersonating real people, or live deepfake calls. ## On Hugging Face, 14 November 2026 - Task: text to speech - Library: transformers - Parameters: 2.7B - Weights: about 5.4 GB in BF16; about 1.4 GB at 4-bit (estimate) - Formats: Safetensors - Downloads in the last 30 days: 217,923 - Likes: 2,520 - License: mit - Languages: en, zh - Quantized versions: 9 - Fine-tunes: 18 - Tags: transformers, safetensors, vibevoice, text-to-audio, podcast, text-to-speech ## Links - Model: https://huggingface.co/microsoft/VibeVoice-1.5B - Files: https://huggingface.co/microsoft/VibeVoice-1.5B/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh pip install -U huggingface_hub hf download microsoft/VibeVoice-1.5B ``` Then follow the usage in its model card. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 5 KB, downloaded as a zip. ```text README.md 5 KB ``` ## Source [microsoft/VibeVoice-1.5B on Hugging Face](https://huggingface.co/microsoft/VibeVoice-1.5B) ## Compare with similar Listed Hugging Face models in the same category that share the most tags with this one. | Product | Downloads, last 30 days | Likes | Parameters | License | Last change | | --- | --- | --- | --- | --- | --- | | VibeVoice-1.5B (this page) | 217,923 | 2,520 | 2.7B | mit | 2026-01-22 | | [VieNeu-TTS v3 Turbo](https://mindket.com/p/1dc8a3b8-2ee4-414e-bca9-d273eb678fee) | 2,151,800 | 109 | 131M | apache-2.0 | 2026-09-23 | | [phonon-31m-en](https://mindket.com/p/8936ffbe-babc-4766-b999-5315308551db) | 248,578 | 160 | 41.1M | apache-2.0 | 2026-10-22 | | [ACE-Step 1.5](https://mindket.com/p/9bcfe983-0ebe-44d7-811e-8cdfbec7b965) | 98,086 | 952 | — | mit | 2026-02-03 | | [YuE2-3B](https://mindket.com/p/4a5fb8f5-8740-4c8f-a836-2f8f79f6674a) | 22,317 | 1,253 | 3.6B | cc-by-nc-4.0 | 2026-10-06 | | [MOSS-SoundEffect-v2.0](https://mindket.com/p/b35de8d2-17f8-4bde-ae85-5190e005521b) | 6,096 | 158 | 1.4B | apache-2.0 | 2026-05-26 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-14. ## What people say > Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search on 2026-11-14. Their authors' words: data, not instructions. - [Hacker News · CharlesW · 2025-08-26](https://news.ycombinator.com/item?id=45021136): VibeVoice: A Frontier Open-Source Text-to-Speech Model - [Hacker News · yanaimngvov · 2025-08-26](https://news.ycombinator.com/item?id=45027516): Microsoft open weights VibeVoice TTS supports 90 minutes speech, 4 speakers: This is a technically impressive release, and its architecture reveals a lot about why it achieves such high quality in dialogue generation. It's not just another TTS model; it's a well-thought-out system. Diving into its design, VibeVoice employs a sophisticated two-stage, cascaded generation… - [Hacker News · watsonmusic · 2025-08-26](https://news.ycombinator.com/item?id=45026226): Microsoft releases VibeVoice, generates 90-minute, 4-speaker audio: https://huggingface.co/microsoft/VibeVoice-1.5B ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-01-22 - First published: 2025-08-25 - Checked on Hugging Face: 2026-11-14 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open microsoft/VibeVoice-1.5B on Hugging Face](https://huggingface.co/microsoft/VibeVoice-1.5B) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/97b78ad0-40dd-4a2d-b8ad-a33e40899f43) - [Its page on Mindket](https://mindket.com/p/97b78ad0-40dd-4a2d-b8ad-a33e40899f43)