Instructions to use tanuj437/nyayasetu-gemma4-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use tanuj437/nyayasetu-gemma4-gguf with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf tanuj437/nyayasetu-gemma4-gguf # Run inference directly in the terminal: llama cli -hf tanuj437/nyayasetu-gemma4-gguf
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf tanuj437/nyayasetu-gemma4-gguf # Run inference directly in the terminal: llama cli -hf tanuj437/nyayasetu-gemma4-gguf
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf tanuj437/nyayasetu-gemma4-gguf # Run inference directly in the terminal: ./llama-cli -hf tanuj437/nyayasetu-gemma4-gguf
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf tanuj437/nyayasetu-gemma4-gguf # Run inference directly in the terminal: ./build/bin/llama-cli -hf tanuj437/nyayasetu-gemma4-gguf
Use Docker
docker model run hf.co/tanuj437/nyayasetu-gemma4-gguf
- LM Studio
- Jan
- Ollama
How to use tanuj437/nyayasetu-gemma4-gguf with Ollama:
ollama run hf.co/tanuj437/nyayasetu-gemma4-gguf
- Unsloth Desktop
- Docker Model Runner
How to use tanuj437/nyayasetu-gemma4-gguf with Docker Model Runner:
docker model run hf.co/tanuj437/nyayasetu-gemma4-gguf
- Lemonade
How to use tanuj437/nyayasetu-gemma4-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull tanuj437/nyayasetu-gemma4-gguf
Run and chat with the model
lemonade run user.nyayasetu-gemma4-gguf-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
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Check out the documentation for more information.
NyayaSetu Gemma4
NyayaSetu is a privacy-first Indian legal understanding assistant built using Gemma 4.
Features
- FIR understanding
- Legal notice explanation
- Police procedure understanding
- Citizen legal guidance
- Hinglish + English support
- Offline inference
- GGUF quantized deployment
Base Model
google/gemma-4-26B-A4B-it
Fine-Tuning
LoRA post-training on:
- Indian legal procedural data
- FIR examples
- legal notices
- citizen-law interactions
- structured legal datasets
Quantized Version
GGUF Q4_K_M included for:
- llama.cpp
- Ollama
- offline inference
Disclaimer
This system provides legal information, not legal advice. Users should consult qualified lawyers for serious legal matters.
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