Model reference · open weights
svara-tts is an open-weight audio or speech model from kenpath, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.
About
svara-TTS v1 — Open Multilingual TTS for India’s Voices [](https://huggingface.co/kenpath/svara-tts-v1) [](https://huggingface.co/spaces/kenpath/svara-tts) [](https://colab.research.google.com/drive/15YxFo1DzdQNbFUIZ1HJA4AN4oHqKxGtg) [](https://github.com/Kenpath/svara-tts-inference) svara-TTS is a developer-first multilingual TTS model for 19 languages (18 Indic + Indian English). Built on an Orpheus-style discrete audio token approach, it targets clarity, expressiveness, and low-latency on commodity GPUs/CPUs. It supports light-weight emotion/style control (e.g., <happy, <sad, <anger, <fear) and simple speaker identities (Language (Gender)), with zero-shot adaptation paths. At a Glance - Languages (19): Hindi, Bengali, Marathi, Telugu, Kannada, Bhojpuri, Magahi, Chhattisgarhi, Maithili, Assamese, Bodo, Dogri, Gujarati, Malayalam, Punjabi, Tamil, Nepali, Sanskrit, Indian English. - Expressivity: End-of-utterance style tags; natural prosody; code-switch aware. - Latency & Deployment: Works well with GGUF exports; suitable for edge/CPU scenarios. - Adaptability: LoRA-friendly for quick speaker/domain specialization. Try it live on the Demo Space, or on Colab Deployment scripts and inference repo will be available soon. Watch our Github for updates Prompting (Orpheus-style) - Place style/emotion tags at the end of the sentence: आज... सच में अच्छी खबर है — शाम को मिलते हैं! <happy - Use punctuation to hint prosody (ellipses, commas, exclamation). - For technical or dense text, end with <clear to prioritize intelligibility. Speaker IDs follow a simple convention: Language (Gender) (e.g., Marathi (Male)). Training Data Summary Trained on 2000+ hours of open, high-quality speech from SYSPIN, RASA, IndicTTS, and SPICOR, covering ~50 speakers (balanced male/female) across 19 languages. Data was curated to encourage natural prosody, broad coverage, and stable multilingual transfer. See Acknowledgments for provenance. Intended Uses - Multilingual assistants, IVR, learning apps, reading aids, accessibility tools - Content localization (education, public-information, civic services) - Research on Indic prosody, emotion control, cross-lingual transfer Out-of-Scope / Not Inte
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | kenpath |
|---|---|
| Type | Audio & music |
| Parameters (lead) | 3.3B |
| Variants | 1 |
| Runs with | transformers |
| Based on | canopylabs/3b-hi-ft-research_release |
| Released | 2025-10-26 |
| Popularity | 191k downloads / month |
| Likes | 55 |
| Licence | Open weights |
How it works
Variants
Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.
| Variant | Params | Precision | VRAM | Fits 16 GB | Weights |
|---|---|---|---|---|---|
| svara-tts-v1 | 3.3B | BF16 | ~7.6 GB | ✓ | Weights ↗ |
Using it via the API
Once AxForge deploys svara-tts for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (svara-tts below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/audio/transcriptions \ -H "Authorization: Bearer $AXFORGE_API_KEY" \ -F model="svara-tts" -F file=@audio.mp3
Details
Languages
Trained / evaluated on
Tags
Licence
Open weights under apache-2.0 — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗