Svara TTS v1 (FP8 Quantized)
FP8-quantized version of Svara TTS for lower VRAM usage (~6-8GB).
Original Developer: Kenpath
Base Model: kenpath/svara-tts-v1
Features
- 12 Indian Languages: Hindi, English, Telugu, Tamil, Marathi, Bengali, Kannada, Malayalam, Gujarati, Punjabi, Odia, Assamese
- Male/Female Voices: Support for both genders
- Low VRAM: ~6-8GB memory usage (FP8)
- OpenAI-Compatible:
/v1/audio/speechendpoint
Supported Languages
| Language | Code |
|---|---|
| Hindi | hi |
| English | en |
| Telugu | te |
| Tamil | ta |
| Marathi | mr |
| Bengali | bn |
| Kannada | kn |
| Malayalam | ml |
| Gujarati | gu |
| Punjabi | pa |
| Odia | or |
| Assamese | as |
Voice Format
Voice IDs: {language_code}_{gender}
Examples: hi_male, ta_female, en_male, bn_female
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
model = AutoModelForCausalLM.from_pretrained(
"srikantp/svara-tts-v1-fp8",
torch_dtype=torch.bfloat16,
device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained("srikantp/svara-tts-v1-fp8")
Requirements
- NVIDIA GPU with 8GB+ VRAM
- CUDA drivers
- transformers, torch
Inference Code
For inference code, server, and web UI, see: svara-tts-inference-fp8
License
Apache 2.0 - See LICENSE file.
Citation
@misc{svara-tts-v1-fp8,
title={Svara TTS v1 FP8},
author={srikantp},
year={2025},
url={https://huggingface.co/srikantp/svara-tts-v1-fp8}
}