Bharat-Tiny-LLM
v3Apache 2.0Frontier Vernacular Edge LLM Powered by Brahmi Tokenizer
Bharat-Tiny-LLM v3 is a frontier vernacular edge llm powered by brahmi tokenizer. Operates across Tokenizer: Brahmi Tokenizer (Eulogik) · Token Efficiency: 33–45% fewer tokens · Base Model: Qwen3-1.7B · Languages: Hindi · Hinglish · English · Formats: GGUF · WebGPU · SafeTensors · Deployment: llama.cpp · In-browser · CPU · Features: Tool-Use · Math (GSM8K) · RAG · License: Apache 2.0. License: Apache 2.0.
Edge-first Hindi/Hinglish foundation model powered by our proprietary Brahmi Tokenizer. Delivers 33–45% fewer tokens on Indic scripts with zero byte-fragmentation. Supports GGUF, WebGPU, llama.cpp, and transformers.js. Tool-use capable with GSM8K Hindi math reasoning. 100% on-device and air-gapped.
- ✓Powered by Eulogik Brahmi Tokenizer: eliminates Devanagari byte fragmentation
- ✓33–45% token compression over standard LLaMA/GPT tokenizers on Indic text
- ✓Full offline sovereignty: runs via WebGPU in browser and llama.cpp on edge CPU
- ✓Purpose-engineered for vernacular banking, legal, and citizen service workflows
Get started in minutes
pip install transformersfrom transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("eulogik/Bharat-Tiny-LLM-v3")
model = AutoModelForCausalLM.from_pretrained("eulogik/Bharat-Tiny-LLM-v3")
# Native Brahmi tokenization preserves morphology with zero fragmentation
inputs = tokenizer("नमस्ते! आज का मौसम कैसा है?", return_tensors="pt")
output = model.generate(**inputs, max_new_tokens=200)
print(tokenizer.decode(output[0], skip_special_tokens=True))Cite this Model & Architecture
If you utilize Bharat-Tiny-LLM in your academic research, benchmarks, or enterprise deployments, please cite our open-weight publication:
@misc{eulogik2026bharattinyllmv3,
title = {Bharat-Tiny-LLM v3: Frontier Vernacular Edge LLM Powered by Brahmi Tokenizer},
author = {Kishore, Gautam and Eulogik Systems Engineering},
year = {2026},
publisher = {Eulogik},
howpublished = {\url{https://eulogik.com/models/bharat-tiny-llm-v3}}
}Need help deploying Bharat-Tiny-LLM?
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