What are the hardware requirements for SnorTTS Indic V0?

SnorTTS Indic V0 requires approximately 9.5 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed SnorTTS Indic V0 and how large is it?

SnorTTS Indic V0 is developed by snorbyte, a model with 3.8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate SnorTTS Indic V0?

SnorTTS Indic V0 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

SnorTTS Indic V0 by snorbyte — VRAM 9.5GB, 128K context

Name: SnorTTS Indic V0
Author: snorbyte

SnorTTS Indic V0 is an open-source language model by snorbyte. Features: 3.8b LLM, VRAM: 9.5GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.2.

Audio Base model:finetune:snorbyte/s... Base model:snorbyte/snortts-in... Bn Endpoints compatible Gu Hi Kn Llama Ml Mr Pa Region:us Safetensors Sharded Speech-synthesis Ta Te Tensorflow Text-to-speech Tts Unsloth

Model Card on HF 🤗: https://huggingface.co/snorbyte/snorTTS-Indic-v0

SnorTTS Indic V0 Parameters and Internals

LLM Name	SnorTTS Indic V0
Repository 🤗	https://huggingface.co/snorbyte/snorTTS-Indic-v0
Base Model(s)	SnorTTS Indic V0 snorbyte/snorTTS-Indic-v0
Model Size	3.8b
Required VRAM	9.5 GB
Updated	2026-07-13
Maintainer	snorbyte
Model Type	llama
Model Files	3.4 GB: 1-of-4 2.5 GB: 2-of-4 1.7 GB: 3-of-4 1.9 GB: 4-of-4
Supported Languages	hi gu mr pa bn te kn ml ta
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.53.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<custom_token_7>
Vocabulary Size	156940
Torch Data Type	bfloat16

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Instruction Following and Task Automation
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Data Analysis and Insight Generation
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