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SnorTTS Indic V0 by snorbyte

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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: 0.22.

  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 Benchmarks

LLME Score: 0.21935
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SnorTTS Indic V0 (snorbyte/snorTTS-Indic-v0)
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SnorTTS Indic V0 Parameters and Internals

LLM NameSnorTTS Indic V0
Repository 🤗https://huggingface.co/snorbyte/snorTTS-Indic-v0 
Base Model(s)  SnorTTS Indic V0   snorbyte/snorTTS-Indic-v0
Model Size3.8b
Required VRAM9.5 GB
Updated2026-05-27
Maintainersnorbyte
Model Typellama
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 Languageshi gu mr pa bn te kn ml ta
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.53.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<custom_token_7>
Vocabulary Size156940
Torch Data Typebfloat16

Best Alternatives to SnorTTS Indic V0

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Context / RAM
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LWM Text 512K512K / 13.5 GB132
LWM Text Chat 512K512K / 13.5 GB112
LWM Text 256K256K / 13.5 GB123
LWM Text Chat 256K256K / 13.5 GB103
Pallas 0.5 LASER 0.1195K / 68.9 GB10402
Veena128K / 7.6 GB3406232
Llama 3.1 Medprm Reward V1.0128K / 16.1 GB66716
Orpheus AUS128K /  GB50
Finetuning Health Ci128K / 6.5 GB32
LLaMA Mesh128K / 16.1 GB363182
Note: green Score (e.g. "73.2") means that the model is better than snorbyte/snorTTS-Indic-v0.

Rank the SnorTTS Indic V0 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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