Instructions to use parole-study-viper/gemma3-text-to-sql 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 parole-study-viper/gemma3-text-to-sql 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 parole-study-viper/gemma3-text-to-sql # Run inference directly in the terminal: llama cli -hf parole-study-viper/gemma3-text-to-sql
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf parole-study-viper/gemma3-text-to-sql # Run inference directly in the terminal: llama cli -hf parole-study-viper/gemma3-text-to-sql
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 parole-study-viper/gemma3-text-to-sql # Run inference directly in the terminal: ./llama-cli -hf parole-study-viper/gemma3-text-to-sql
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 parole-study-viper/gemma3-text-to-sql # Run inference directly in the terminal: ./build/bin/llama-cli -hf parole-study-viper/gemma3-text-to-sql
Use Docker
docker model run hf.co/parole-study-viper/gemma3-text-to-sql
- LM Studio
- Jan
- Ollama
How to use parole-study-viper/gemma3-text-to-sql with Ollama:
ollama run hf.co/parole-study-viper/gemma3-text-to-sql
- Unsloth Desktop
- Docker Model Runner
How to use parole-study-viper/gemma3-text-to-sql with Docker Model Runner:
docker model run hf.co/parole-study-viper/gemma3-text-to-sql
- Lemonade
How to use parole-study-viper/gemma3-text-to-sql with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull parole-study-viper/gemma3-text-to-sql
Run and chat with the model
lemonade run user.gemma3-text-to-sql-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Commit History
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Create config.json
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Verified signaturefeat: Add SafeTensors support and prepare for Hugging Face release - Add convert_to_safetensors.py script for model conversion - Create comprehensive HF_README.md for Hugging Face model card - Organize adapter structure with proper SafeTensors format - Update modelfile to use lmstudio-community/gemma-3-27b-it-GGUF base model - Add documentation for SafeTensors usage and conversion This commit prepares the Gemma 3 Text-to-SQL model for publication on Hugging Face, ensuring it follows best practices with SafeTensors format for improved security and performance.df80a2b -
Upload README.md with huggingface_hub
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initial commit
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