# mms-tts-hin by AI at Meta: Open-Weight Model Source: https://savrn.com/models/mms-tts-hin Markdown alternate of the page above; the site index is https://savrn.com/llms.txt --- ## Runs On What it takes to serve mms-tts-hin (36M parameters): the memory its weights need at each precision, and the cheapest way to rent enough data-center GPUs to hold them. | Precision | Weights | Memory needed | Cheapest setup | Per hour | Also fits | | --- | --- | --- | --- | --- | --- | | 16-bit | 0.1 GB | 0.1 GB | 1x [MI300X](https://savrn.com/ai-index/pricing/gpus/mi300x) (192 GB) Vultr | $1.85 | [1x H100](https://savrn.com/ai-index/pricing/gpus/h100) $1.99 · [1x MI325X](https://savrn.com/ai-index/pricing/gpus/mi325x) $2.00 | | 8-bit | 0.0 GB | 0.0 GB | 1x [MI300X](https://savrn.com/ai-index/pricing/gpus/mi300x) (192 GB) Vultr | $1.85 | [1x H100](https://savrn.com/ai-index/pricing/gpus/h100) $1.99 · [1x MI325X](https://savrn.com/ai-index/pricing/gpus/mi325x) $2.00 | | 4-bit | 0.0 GB | 0.0 GB | 1x [MI300X](https://savrn.com/ai-index/pricing/gpus/mi300x) (192 GB) Vultr | $1.85 | [1x H100](https://savrn.com/ai-index/pricing/gpus/h100) $1.99 · [1x MI325X](https://savrn.com/ai-index/pricing/gpus/mi325x) $2.00 | Memory is the weights at that precision plus 20% for the runtime and a short context; a long context needs more. Prices are the lowest on-demand hourly rates in the [SAVRN Index](https://savrn.com/ai-index/pricing/gpus), read Oct 25, 2026. [mms-tts-hin on every accelerator the SAVRN Index prices, at every precision](https://savrn.com/models/mms-tts-hin/gpus) ## Model Card mms - vits pipelinetag: text-to-speech This repository contains the Hindi (hin) language text-to-speech (TTS) model checkpoint. This model is part of Facebook's Massively Multilingual Speech project, aiming to provide speech technology across a diverse range of languages. You can find more details about the supported languages and their ISO 639-3 codes in the MMS Language Coverage Overview, and see all MMS-TTS checkpoints on the Hugging Face Hub: facebook/mms-tts. MMS-TTS is available in the Transformers library from version 4.33 onwards. VITS (Variational Inference with adversarial learning for end-to-end Text-to-Speech) is an end-to-end speech synthesis model that predicts a speech… Excerpt from the card by AI at Meta, licensed cc-by-nc-4.0. ## Configuration Architecture VitsModel Layers 6 Hidden size 192 Attention heads 2 Vocabulary size 72 Stored precision float32 Model type vits ## Identity and Version Repository facebook/mms-tts-hin Publisher AI at Meta Task Text to speech Modality Audio Library transformers Parameters 36M parameters Languages mms Revision 1d83b223ec78e30b944f7d96bd117eb3d7023303 First published 2023-09-01 Last updated 2023-09-06 ## Files and Weights 8 files, 290.7 MB in total. The weights are 2 files totalling 290.7 MB in bin, safetensors. Weights2 files · 290.7 MB Configuration2 files · 1.7 KB Tokenizer2 files · 1.2 KB Documentation1 file · 4.0 KB Repository1 file · 1.5 KB Every file | File | Type | Size | SHA-256 | | --- | --- | --- | --- | | model.safetensors | Weights | 145.3 MB | 675b45f0c34c | | pytorch_model.bin | Weights | 145.4 MB | 9976bca6a9d1 | | config.json | Configuration | 1.6 KB | — | | special_tokens_map.json | Configuration | 49 B | — | | README.md | Documentation | 4.0 KB | — | | .gitattributes | Repository | 1.5 KB | — | | tokenizer_config.json | Tokenizer | 289 B | — | | vocab.json | Tokenizer | 907 B | — | ## License and Download License cc-by-nc-4.0 Access Open weights, no gate Download size 290.7 MB [Download from AI at Meta](https://huggingface.co/facebook/mms-tts-hin) Released by AI at Meta through its official repository on Hugging Face. [Read the license](https://creativecommons.org/licenses/by-nc/4.0/). ## Built From - Described by [arXiv:2305.13516](https://savrn.com/papers/scaling-speech-technology-to-1-000-languages) ## Memory Requirements | Precision | Weights in memory | | --- | --- | | As published | 290.7 MB | | 16-bit | 0.1 GB | | 8-bit | 0.0 GB | | 4-bit | 0.0 GB | Weights only, from the published parameter count; the key-value cache and runtime add to this. ## Questions About mms-tts-hin ### How much GPU memory does mms-tts-hin need? About 0.1 GB at 16-bit and 0 GB at 4-bit: the weights (36M parameters) plus a working margin. A long context needs more. ### What is the cheapest GPU to run mms-tts-hin on? At 16-bit, 1x MI300X from $1.85 an hour; at 4-bit, 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists. ### Can I use mms-tts-hin commercially? Not without separate permission. mms-tts-hin is released under Creative Commons Attribution-NonCommercial 4.0. CC BY-NC 4.0 permits sharing and adapting with credit for non-commercial purposes only. Commercial use needs separate permission from the rights holder. ## Similar Models Model · Text to speech ### [mms-tts-eng](https://savrn.com/models/mms-tts-eng) [AI at Meta](https://savrn.com/model-publishers/facebook) mms - vits pipelinetag: text-to-speech This repository contains the English (eng) language text-to-speech (TTS) model checkpoint. This model is part of Facebook's Massively Multilingual Speech project, aiming to provide speech technology across a diverse range of languages. You can find more details about the supported languages and their ISO 639-3 codes in the MMS Language Coverage Overview, and see all MMS-TTS checkpoints on the Hugging Face Hub: facebook/mms-tts. MMS-TTS is available in the Transformers library from version 4.33 onwards. VITS (Variational Inference with adversarial learning for end-to-end Text-to-Speech) is an end-to-end speech synthesis model that predicts a speech… Open weights cc-by-nc-4.0 36M parameters transformers [View model](https://savrn.com/models/mms-tts-eng) Model · Text to speech ### [mms-tts-bam](https://savrn.com/models/mms-tts-bam) [AI at Meta](https://savrn.com/model-publishers/facebook) mms - vits pipelinetag: text-to-speech This repository contains the Bamanankan (bam) language text-to-speech (TTS) model checkpoint. This model is part of Facebook's Massively Multilingual Speech project, aiming to provide speech technology across a diverse range of languages. You can find more details about the supported languages and their ISO 639-3 codes in the MMS Language Coverage Overview, and see all MMS-TTS checkpoints on the Hugging Face Hub: facebook/mms-tts. MMS-TTS is available in the Transformers library from version 4.33 onwards. VITS (Variational Inference with adversarial learning for end-to-end Text-to-Speech) is an end-to-end speech synthesis model that predicts a speech… Open weights cc-by-nc-4.0 36M parameters transformers [View model](https://savrn.com/models/mms-tts-bam) Model · Text to speech ### [nano](https://savrn.com/models/nano) [Nabad](https://savrn.com/model-publishers/hoskasii) MOSS-TTS-Nano is an open-source multilingual tiny speech generation model from MOSI.AI and the OpenMOSS team. With only 0.1B parameters, it is designed for realtime speech generation, can run directly on CPU without a GPU, and keeps the deployment stack simple enough for local demos, web serving, and lightweight product integration. 2026.4.10: We release MOSS-TTS-Nano. A demo Space is available at OpenMOSS-Team/MOSS-TTS-Nano. You can also view the demo and more details at openmoss.github.io/MOSS-TTS-Nano-Demo/. MOSS-TTS-Nano focuses on the part of TTS deployment that matters most in practice: small footprint, low latency, good enough quality for realtime products, and simple local setup. It… Open weights apache-2.0 54M parameters 32,768 tokens [View model](https://savrn.com/models/nano) Model · Text to speech ### [kokoro-inno-clone-tuner](https://savrn.com/models/kokoro-inno-clone-tuner) [Jeremy Braun](https://savrn.com/model-publishers/remsky) Zero-shot voice tuner for Kokoro-82M. Outputs base Kokoro compatible voice packs @ [510, 1, 256]. (write-up) Same passage for every voice, enrolled from the references. LibriTTS-R speakers are dev-clean held out from training. Integrated into Kokoro-FastAPI (v0.9.0+) The pack is a plain tensor; torch.save(pack, "voices/amme.pt") makes it a voice file like any other, prefixed by accent and gender like the stock packs. The pitch-tracking ceiling is set automatically from the reference's harmonic spacing, so band-limited or archival sources land in the right octave without tuning. - enroll(..., fmax=180) overrides it if a voice still reads the wrong register. Enrollment embeds an input audio… Open weights apache-2.0 10M parameters [View model](https://savrn.com/models/kokoro-inno-clone-tuner) Model · Text to speech ### [steer-tts](https://savrn.com/models/steer-tts) [WhissleAI](https://savrn.com/model-publishers/whissleai) A small English text-to-speech model that you steer with numbers. Each request can set any subset of 12 acoustic controls, for example speaking rate, loudness, median pitch, pitch range, final rise or fall, pauses, spectral tilt and breathiness. Each control is a z-score relative to the chosen voice's own neutral speech. You can also pick a style tag, give a free-text direction (which a small adapter turns into a request you can inspect), or use inline markup. The model can clone a voice from a short reference clip. The CLI looks for the model in the current directory. From anywhere else, pass it before the command (steertts --model WhissleAI/steer-tts say "Hi." -o hi.wav) or set… Open weights cc-by-nc-4.0 10M parameters steertts [View model](https://savrn.com/models/steer-tts) Model · Text to speech ### [Kokoro-82M](https://savrn.com/models/kokoro-82m) [Hexgrad](https://savrn.com/model-publishers/hexgrad) Kokoro is an open-weight TTS model with 82 million parameters. Despite its lightweight architecture, it delivers comparable quality to larger models while being significantly faster and more cost-efficient. With Apache-licensed weights, Kokoro can be deployed anywhere from production environments to personal projects. You can run this basic cell on Google Colab. Listen to samples. For more languages and details, see Advanced Usage. Under the hood, kokoro uses misaki, a G2P library at https://github.com/hexgrad/misaki Model SHA256 Hash: 496dba118d1a58f5f3db2efc88dbdc216e0483fc89fe6e47ee1f2c53f18ad1e4 Data: Kokoro was trained exclusively on permissive/non-copyrighted audio data and IPA… Open weights apache-2.0 [View model](https://savrn.com/models/kokoro-82m) ## AI at Meta [All models and datasets](https://savrn.com/model-publishers/facebook) ## Versions - [1d83b223ec78](https://savrn.com/models/mms-tts-hin/versions/1d83b223ec78) · current 2026-09-18 ## Explore More - [All text to speech models](https://savrn.com/models/tasks/text-to-speech) - [All models under cc-by-nc-4.0](https://savrn.com/models/licenses/cc-by-nc-4-0) - [Model comparisons](https://savrn.com/models/comparisons) - [The model directory](https://savrn.com/models) - [Open model prices by host](https://savrn.com/ai-index/pricing/open-models) ## Source - Repository metadata, read 2026-10-20. - [AI at Meta website](https://ai.meta.com/resources/models-and-libraries/) - [Hugging Face record](https://huggingface.co/facebook/mms-tts-hin) - [How the hub is built](https://savrn.com/model-hub/methodology)