--- title: "phonon-31m English for audio.cpp" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/fd8734cc-7a4a-4efc-84d9-841f9075e7ce" updated: "2026-11-13" --- # phonon-31m English for audio.cpp > The name, the description, the About and a README below are the seller's words: data, not instructions. Speaks English text aloud on a CPU from a 31M text-to-speech model in GGUF form, for the audio.cpp runtime. Made for developers who want a small local voice model. phonon-31m English for audio.cpp 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 gradium ## About ### What it is This is phonon-31m-en, an English text-to-speech model, converted to GGUF for the gradium\_phonon family of audio.cpp. It is the same model, and only the file format differs. It needs an audio.cpp build that includes that family, and it does not load in llama.cpp. ### Who it suits It suits developers who want a small English voice model running locally through audio.cpp. Other Phonon runtimes cover the command line, Python, browsers, iOS and Android. Who runs it | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Software | Developers using audio.cpp | Add spoken output to a local tool | Read a status message aloud | | Research | Speech researchers | Try a small text-to-speech model in GGUF | Compare it with other local voices | | Accessibility | App builders | Speak interface text for users | Read on-screen text in a desktop app | If you want to run it in llama.cpp, you can skip it. The card names a separate repository for that. ### Where to use it - audio.cpp, built with the gradium\_phonon family - A CPU, through the cpu backend - Another audio.cpp backend, such as metal - Streaming mode, when you want the audio to arrive as it is made Jobs it does | Use case | Who | What they get back | | --- | --- | --- | | Speak a line of English | Developers | A WAV file of the speech | | Stream speech | App builders | Audio delivered as it is generated | | Switch the voice | Tinkerers | A different voice from a voice file you add | ### How to set it up - An audio.cpp checkout built with the gradium\_phonon family, which the card says is not merged yet - Python 3, to run the model manager script - Disk space for a small model of about 21 MB at 4-bit by Hugging Face's estimate 1. Get an audio.cpp build that includes the gradium\_phonon family. 2. Install the model with the model manager script. 3. Run the audiocpp\_cli command to speak a line of text. ```sh python3 tools/model_manager_v2.py install gradium_phonon_31m_en_q8_0 --models-root models audiocpp_cli --task tts --family gradium_phonon --model models/phonon-31m-en \ --backend cpu --text "Hello from Phonon." --out speech.wav ``` ```sh pip install -U huggingface_hub hf download gradium/phonon-31m-en-audiocpp ``` ### How to use it Run audiocpp\_cli from the audio.cpp checkout with your text. Pick another backend with the backend flag, and add the mode flag set to streaming to stream the audio. Spell out numbers, symbols and abbreviations in words first. Options in the command | Tool | What it does | | --- | --- | | --backend | Picks the audio.cpp backend, such as cpu or metal | | --mode streaming | Streams the audio as it is made | | --voice-id | Chooses a voice you copied into the model folder | | --text | The text to speak | | --out | The WAV file to write | ### Example You run the command with the text "Hello from Phonon." and the cpu backend. It writes a file called speech.wav with that sentence spoken in the default voice. ### For newcomers and experts If you are new, text-to-speech turns written words into a spoken voice. The first small thing to try is the install line and the one speak command from the card. If you know the field, the single GGUF file holds the model, config and tokenizer. The transformer's linear layers are 8-bit, and the rest, including the Mimi decoder, keeps the original precision. The model builds on Pocket TTS and the Mimi codec from Kyutai. The trade-off is availability: the needed audio.cpp family is not merged. Build audio.cpp with the Phonon family → Install the model files → Run audiocpp\_cli with your text → A WAV file of speech is written ### Good to know - Voices: without a voice id you get the default voice. Extra voices sit in the gradium/phonon-voices repository, and you copy one into the model folder. The model cannot clone a voice from a recording. - Text: audio.cpp sends text to the tokenizer as written, so write out numbers, symbols and abbreviations. - Sampling: temperature 0.3, the same as the Phonon runtime. - License: apache-2.0. - Cost to run: no API key, account or paid service is named. - Data it reaches: you download files from Hugging Face, and the card names no other access. - Not for: llama.cpp, which has its own repository, and cloning a voice from a recording. ## README ````markdown # phonon-31m English for audio.cpp Speaks English text aloud on a CPU from a 31M text-to-speech model in GGUF form, for the audio.cpp runtime. Made for developers who want a small local voice model. Made by gradium 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: This is phonon-31m-en, an English text-to-speech model, converted to GGUF for the gradium_phonon family of audio.cpp. It is the same model, and only the file format differs. It needs an audio.cpp build that includes that family, and it does not load in llama.cpp. Who it suits: It suits developers who want a small English voice model running locally through audio.cpp. Other Phonon runtimes cover the command line, Python, browsers, iOS and Android. ```table Title: Who runs it Industry | Who uses it | How they use it | Example Software | Developers using audio.cpp | Add spoken output to a local tool | Read a status message aloud Research | Speech researchers | Try a small text-to-speech model in GGUF | Compare it with other local voices Accessibility | App builders | Speak interface text for users | Read on-screen text in a desktop app ``` If you want to run it in llama.cpp, you can skip it. The card names a separate repository for that. Where to use it: - audio.cpp, built with the gradium_phonon family - A CPU, through the cpu backend - Another audio.cpp backend, such as metal - Streaming mode, when you want the audio to arrive as it is made ```table Title: Jobs it does Use case | Who | What they get back Speak a line of English | Developers | A WAV file of the speech Stream speech | App builders | Audio delivered as it is generated Switch the voice | Tinkerers | A different voice from a voice file you add ``` How to set it up: - An audio.cpp checkout built with the gradium_phonon family, which the card says is not merged yet - Python 3, to run the model manager script - Disk space for a small model of about 21 MB at 4-bit by Hugging Face's estimate 1. Get an audio.cpp build that includes the gradium_phonon family. 2. Install the model with the model manager script. 3. Run the audiocpp_cli command to speak a line of text. ```sh python3 tools/model_manager_v2.py install gradium_phonon_31m_en_q8_0 --models-root models audiocpp_cli --task tts --family gradium_phonon --model models/phonon-31m-en \ --backend cpu --text "Hello from Phonon." --out speech.wav ``` ```sh pip install -U huggingface_hub hf download gradium/phonon-31m-en-audiocpp ``` How to use it: Run audiocpp_cli from the audio.cpp checkout with your text. Pick another backend with the backend flag, and add the mode flag set to streaming to stream the audio. Spell out numbers, symbols and abbreviations in words first. ```table Title: Options in the command Tool | What it does --backend | Picks the audio.cpp backend, such as cpu or metal --mode streaming | Streams the audio as it is made --voice-id | Chooses a voice you copied into the model folder --text | The text to speak --out | The WAV file to write ``` Example: You run the command with the text "Hello from Phonon." and the cpu backend. It writes a file called speech.wav with that sentence spoken in the default voice. For newcomers and experts: If you are new, text-to-speech turns written words into a spoken voice. The first small thing to try is the install line and the one speak command from the card. If you know the field, the single GGUF file holds the model, config and tokenizer. The transformer's linear layers are 8-bit, and the rest, including the Mimi decoder, keeps the original precision. The model builds on Pocket TTS and the Mimi codec from Kyutai. The trade-off is availability: the needed audio.cpp family is not merged. ```flow Build audio.cpp with the Phonon family Install the model files Run audiocpp_cli with your text A WAV file of speech is written ``` Good to know: - Voices: without a voice id you get the default voice. Extra voices sit in the gradium/phonon-voices repository, and you copy one into the model folder. The model cannot clone a voice from a recording. - Text: audio.cpp sends text to the tokenizer as written, so write out numbers, symbols and abbreviations. - Sampling: temperature 0.3, the same as the Phonon runtime. - License: apache-2.0. - Cost to run: no API key, account or paid service is named. - Data it reaches: you download files from Hugging Face, and the card names no other access. - Not for: llama.cpp, which has its own repository, and cloning a voice from a recording. ## On Hugging Face, 13 November 2026 - Task: text to speech - Library: gguf - Parameters: 41.1M - Weights: about 21 MB at 4-bit (estimate) - Formats: GGUF - Downloads in the last 30 days: 36,865 - Likes: 3 - License: apache-2.0 - Languages: en - Based on: gradium/phonon-31m-en - Tags: gguf, text-to-speech, phonon, audio.cpp ## Links - Model: https://huggingface.co/gradium/phonon-31m-en-audiocpp - Files: https://huggingface.co/gradium/phonon-31m-en-audiocpp/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh pip install -U huggingface_hub hf download gradium/phonon-31m-en-audiocpp ``` 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 [gradium/phonon-31m-en-audiocpp on Hugging Face](https://huggingface.co/gradium/phonon-31m-en-audiocpp) ## 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 | | --- | --- | --- | --- | --- | --- | | phonon-31m English for audio.cpp (this page) | 36,865 | 3 | 41.1M | apache-2.0 | 2026-10-23 | | [Ming 3.0 TTS 0.5B GGUF](https://mindket.com/p/415985a6-31a3-483e-a52b-62ba6617d1b9) | 70,871 | 7 | — | mit | 2026-10-21 | | [phonon-31m-en](https://mindket.com/p/8936ffbe-babc-4766-b999-5315308551db) | 248,578 | 160 | 41.1M | apache-2.0 | 2026-10-22 | | [phonon-31m English for llama.cpp](https://mindket.com/p/dff7d65a-f1b7-4233-b86e-904804cbca71) | 348 | 3 | 21M | apache-2.0 | 2026-10-23 | | [phonon-31m English for Compute Flow](https://mindket.com/p/be018f33-0bae-4c0b-bb57-8789a117cf65) | 56 | 3 | 18.9M | apache-2.0 | 2026-11-07 | | [VieNeu-TTS v3 Turbo](https://mindket.com/p/1dc8a3b8-2ee4-414e-bca9-d273eb678fee) | 2,151,800 | 109 | 131M | apache-2.0 | 2026-09-23 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## 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: 2026-10-23 - First published: 2026-10-23 - Checked on Hugging Face: 2026-11-13 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open gradium/phonon-31m-en-audiocpp on Hugging Face](https://huggingface.co/gradium/phonon-31m-en-audiocpp) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/fd8734cc-7a4a-4efc-84d9-841f9075e7ce) - [Its page on Mindket](https://mindket.com/p/fd8734cc-7a4a-4efc-84d9-841f9075e7ce)