--- title: "Maya-1" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/2db39d10-1520-4a3d-acee-a641a560d62e" updated: "2026-11-13" --- # Maya-1 > The name, the description, the About and a README below are the seller's words: data, not instructions. An open-weight text-to-speech model where you describe the voice in plain words and add inline emotion cues. It suits developers and creators who need expressive, designed voices. Maya-1 is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-13. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by maya-research ## About ### What it is Maya-1 is a speech model with open weights, made by Maya Research, that reads text aloud. Instead of picking from a fixed list of speakers, you write a short description of the voice and how it should sound, then give it the text to speak. It also accepts inline cues for expression. The model makes discrete audio tokens that are decoded into a 24 kHz waveform. ### Who it suits It suits developers and creators who want a designed voice rather than a stock one. The card describes more than 20 emotions and vocal styles. Who might use it | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Games and animation | Character voice designers | Describe a character's age, accent and mood in text | Give a villain a low, gravelly voice with slow pacing | | Media | Narrators and podcast producers | Generate narration in a chosen tone | Ask for a calm male narrator with a warm voice | | Software | Voice app developers | Replace a fixed speaker menu with described voices | Give an event host voice to an app that reads text aloud | If you only want one plain, fixed voice, you can skip it. ### Where to use it The record lists the transformers library, so Python is the place. The release includes the checkpoint, the tokenizer and reference inference code. - Python with the transformers library - Windows, macOS or Linux with Python, to download the files - Apps that need speech output at 24 kHz Jobs it does | Use case | Who | What they get back | | --- | --- | --- | | Character voices | Game and animation teams | Speech in a voice built from a text description | | Narration | Producers | Spoken audio in a calm or warm delivery | | Expressive lines | App developers | Speech with laughs, cries and other cues inline | ### How to set it up You need Python with pip and room for about 6.6 GB of weights in BF16. The reference code also uses a SNAC decoder to turn tokens into audio. - Python with pip - The transformers library - Disk and memory for roughly 6.6 GB of weights 1. Install the Hugging Face download tool. 2. Download the model files to your computer. 3. Follow the reference inference code in the model card. ```sh pip install -U huggingface_hub hf download maya-research/maya1 ``` ### How to use it Write two inputs. The first is a voice description, covering things like age, accent, pitch, pacing and tone. The second is the text to speak, with optional inline cues where you want a laugh or a cry. The model returns speech audio. The inputs and outputs | Tool | What it does | | --- | --- | | Voice description | A text prompt that sets the voice and its delivery | | Text | The words to speak, with optional inline emotion cues | | SNAC decoder | Turns the audio tokens into a 24 kHz waveform | ### Example You describe a calm male narrator in his late twenties with a neutral American accent, a warm low voice and a steady pace. You add a short paragraph of text. You get back spoken audio in that voice at 24 kHz. ### For newcomers and experts If you are new, think of it as casting a voice actor with a sentence. Write who the speaker is and how they sound, add one line to read, and listen to the result. If you know the field, it is a decoder-only model with a Llama architecture and 3.3 billion parameters. It predicts SNAC audio codes that a decoder turns into mono audio. The trade-off against a fixed speaker menu is flexibility in the voice against a larger model to run. You write a voice description and text → The model predicts SNAC audio tokens → A SNAC decoder rebuilds the waveform → You get 24 kHz mono speech ### Good to know The weights are in BF16. The 4-bit figure below is an estimate from the Hugging Face record, not a file you download. Approximate weight size | Label | Value | | --- | --- | | BF16 | 6.6 GB | | 4-bit estimate | 1.7 GB | - License: apache-2.0, with component notes in the card - Cost to run: none named - Data it reaches: the model files from Hugging Face, and the text and voice descriptions you give it ## README ````markdown # Maya-1 An open-weight text-to-speech model where you describe the voice in plain words and add inline emotion cues. It suits developers and creators who need expressive, designed voices. Made by maya-research 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: Maya-1 is a speech model with open weights, made by Maya Research, that reads text aloud. Instead of picking from a fixed list of speakers, you write a short description of the voice and how it should sound, then give it the text to speak. It also accepts inline cues for expression. The model makes discrete audio tokens that are decoded into a 24 kHz waveform. Who it suits: It suits developers and creators who want a designed voice rather than a stock one. The card describes more than 20 emotions and vocal styles. ```table Title: Who might use it Industry | Who uses it | How they use it | Example Games and animation | Character voice designers | Describe a character's age, accent and mood in text | Give a villain a low, gravelly voice with slow pacing Media | Narrators and podcast producers | Generate narration in a chosen tone | Ask for a calm male narrator with a warm voice Software | Voice app developers | Replace a fixed speaker menu with described voices | Give an event host voice to an app that reads text aloud ``` If you only want one plain, fixed voice, you can skip it. Where to use it: The record lists the transformers library, so Python is the place. The release includes the checkpoint, the tokenizer and reference inference code. - Python with the transformers library - Windows, macOS or Linux with Python, to download the files - Apps that need speech output at 24 kHz ```table Title: Jobs it does Use case | Who | What they get back Character voices | Game and animation teams | Speech in a voice built from a text description Narration | Producers | Spoken audio in a calm or warm delivery Expressive lines | App developers | Speech with laughs, cries and other cues inline ``` How to set it up: You need Python with pip and room for about 6.6 GB of weights in BF16. The reference code also uses a SNAC decoder to turn tokens into audio. - Python with pip - The transformers library - Disk and memory for roughly 6.6 GB of weights 1. Install the Hugging Face download tool. 2. Download the model files to your computer. 3. Follow the reference inference code in the model card. ```sh pip install -U huggingface_hub hf download maya-research/maya1 ``` How to use it: Write two inputs. The first is a voice description, covering things like age, accent, pitch, pacing and tone. The second is the text to speak, with optional inline cues where you want a laugh or a cry. The model returns speech audio. ```table Title: The inputs and outputs Tool | What it does Voice description | A text prompt that sets the voice and its delivery Text | The words to speak, with optional inline emotion cues SNAC decoder | Turns the audio tokens into a 24 kHz waveform ``` Example: You describe a calm male narrator in his late twenties with a neutral American accent, a warm low voice and a steady pace. You add a short paragraph of text. You get back spoken audio in that voice at 24 kHz. For newcomers and experts: If you are new, think of it as casting a voice actor with a sentence. Write who the speaker is and how they sound, add one line to read, and listen to the result. If you know the field, it is a decoder-only model with a Llama architecture and 3.3 billion parameters. It predicts SNAC audio codes that a decoder turns into mono audio. The trade-off against a fixed speaker menu is flexibility in the voice against a larger model to run. ```flow You write a voice description and text The model predicts SNAC audio tokens A SNAC decoder rebuilds the waveform You get 24 kHz mono speech ``` Good to know: The weights are in BF16. The 4-bit figure below is an estimate from the Hugging Face record, not a file you download. ```chart Title: Approximate weight size BF16: 6.6 GB 4-bit estimate: 1.7 GB ``` - License: apache-2.0, with component notes in the card - Cost to run: none named - Data it reaches: the model files from Hugging Face, and the text and voice descriptions you give it ## On Hugging Face, 13 November 2026 - Task: text to speech - Library: transformers - Parameters: 3.3B - Weights: about 6.6 GB in BF16; about 1.7 GB at 4-bit (estimate) - Formats: Safetensors - Downloads in the last 30 days: 8,798 - Likes: 943 - License: apache-2.0 - Quantized versions: 12 - Fine-tunes: 15 - Tags: transformers, safetensors, llama, text-generation, voice-design, expressive-speech, audio-generation, text-to-speech ## Links - Model: https://huggingface.co/maya-research/maya1 - Files: https://huggingface.co/maya-research/maya1/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh pip install -U huggingface_hub hf download maya-research/maya1 ``` 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 [maya-research/maya1 on Hugging Face](https://huggingface.co/maya-research/maya1) ## 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 | | --- | --- | --- | --- | --- | --- | | Maya-1 (this page) | 8,798 | 943 | 3.3B | apache-2.0 | 2026-10-13 | | [VoxCPM2](https://mindket.com/p/01160a83-4496-408c-b49e-af098bf7582e) | 984,860 | 1,783 | 2.3B | apache-2.0 | 2026-11-09 | | [Qwen3-TTS GGUF](https://mindket.com/p/ab5107b1-bdce-42f1-b3e2-abd1bae80d7c) | 1,347,066 | 67 | 915M | apache-2.0 | 2026-09-09 | | [OmniVoice GGUF](https://mindket.com/p/67ca4b8e-4d3f-41ec-a2a6-6875bba5f470) | 109,605 | 91 | 613M | cc-by-nc-4.0 | 2026-09-09 | | [MOSS-SoundEffect-v2.0](https://mindket.com/p/b35de8d2-17f8-4bde-ae85-5190e005521b) | 6,096 | 158 | 1.4B | apache-2.0 | 2026-05-26 | | [Hy-Nomas x LTX-2.5 Audio Workflows](https://mindket.com/p/f361ed30-ee44-43e1-90af-9fb117453a1b) | 0 | 4 | — | mit | 2026-11-09 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## 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 2026-11-13. Their authors' words: data, not instructions. - [Hacker News · porridgeraisin · 2025-11-05](https://news.ycombinator.com/item?id=45820155): Maya1: Open-source 3B Voice Model - [Bluesky · デイリーHuggingFaceトレンド · 2025-11-24](https://bsky.app/profile/huggingfacetrends.bsky.social/post/3m6em4dg73s27): 今日のHuggingFaceトレンド maya-research/maya1 このリポジトリは、最先端の表現力豊かな音声生成モデル「Maya1」を提供する。 人間の感情や詳細な声質デザインを捉えるように構築されており、様々なキャラクター設定や感情（怒り、叫び、落ち着きなど）を伴う高品質なテキスト読み上げ（Text-to-Speech）を実現することを目的としている。 - [Hacker News · freakynit · 2025-11-05](https://news.ycombinator.com/item?id=45819601): Elevenlabs-class 3B param open source TTS model: 1. Natural Language Voice Control 2. 15+ Inline Emotion Tags for Expressive Speech 3. Streaming Audio Generation 4. vLLM integration 5. Runs on single GPU https://huggingface.co/maya-research/maya1 - [Bluesky · デイリーHuggingFaceトレンド · 2025-11-22](https://bsky.app/profile/huggingfacetrends.bsky.social/post/3m67kxzmuu727): 今日のHuggingFaceトレンド maya-research/maya1 本リポジトリは、最先端の音声合成モデル「Maya1」を提供します。 これは、現実の感情や詳細な音声設計を反映した表現力豊かな音声を生成することを目的としています。 様々なアクセントや強い感情（怒り、叫び、泣きなど）を持つキャラクターの音声を高品質に合成可能です。 - [Bluesky · デイリーHuggingFaceトレンド · 2025-11-20](https://bsky.app/profile/huggingfacetrends.bsky.social/post/3m62k5mu6z72d): 今日のHuggingFaceトレンド maya-research/maya1 このリポジトリは、最先端の音声モデル「Maya1」を提供することを目的としています。 Maya1は、リアルな人間の感情や詳細な声質設計を捉え、表現力豊かな音声を生成するためのテキスト音声合成モデルです。 様々なキャラクターや感情を反映したデモを通じて、その高度な機能を示しています。 - [Bluesky · デイリーHuggingFaceトレンド · 2025-11-18](https://bsky.app/profile/huggingfacetrends.bsky.social/post/3m5vjclau5q2j): 今日のHuggingFaceトレンド maya-research/maya1 このリポジトリは、最先端のテキスト音声合成モデル「Maya1」を提供します。 その目的は、人間のリアルな感情と精密な声の設計を捉え、非常に表現力豊かな音声を生成することです。 多様な感情やキャラクター設定に基づいた高品質な音声出力を実現します。 - [Bluesky · デイリーHuggingFaceトレンド · 2025-11-16](https://bsky.app/profile/huggingfacetrends.bsky.social/post/3m5qi5csxys2j): 今日のHuggingFaceトレンド maya-research/maya1 最先端の音声モデル「Maya1」を提供するリポジトリである。 リアルな感情と正確な音声デザインを捉えることに特化し、表現力豊かな音声生成を目的としている。 Text-to-Speechパイプラインとして、年齢、アクセント、トーン、感情（怒り、叫び、泣きなど）を詳細に指定した、多様なキャラクターの高品質なスピーチオーディオを生成する。 - [Bluesky · デイリーHuggingFaceトレンド · 2025-11-14](https://bsky.app/profile/huggingfacetrends.bsky.social/post/3m5lhfazdee2h): 今日のHuggingFaceトレンド maya-research/maya1 最先端のText-to-Speechモデル「Maya1」の公開と紹介が目的である。 本モデルは、現実の感情と精密な音声デザインを捉え、表現力豊かなキャラクター音声を生成することに特化している。 ## 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: 2026-10-13 - First published: 2025-10-18 - Checked on Hugging Face: 2026-11-13 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open maya-research/maya1 on Hugging Face](https://huggingface.co/maya-research/maya1) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/2db39d10-1520-4a3d-acee-a641a560d62e) - [Its page on Mindket](https://mindket.com/p/2db39d10-1520-4a3d-acee-a641a560d62e)