Instructions to use adamwhite625/gemma-2-2b-text2sql-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 adamwhite625/gemma-2-2b-text2sql-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 adamwhite625/gemma-2-2b-text2sql-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf adamwhite625/gemma-2-2b-text2sql-gguf:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf adamwhite625/gemma-2-2b-text2sql-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf adamwhite625/gemma-2-2b-text2sql-gguf:Q4_K_M
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 adamwhite625/gemma-2-2b-text2sql-gguf:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf adamwhite625/gemma-2-2b-text2sql-gguf:Q4_K_M
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 adamwhite625/gemma-2-2b-text2sql-gguf:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf adamwhite625/gemma-2-2b-text2sql-gguf:Q4_K_M
Use Docker
docker model run hf.co/adamwhite625/gemma-2-2b-text2sql-gguf:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use adamwhite625/gemma-2-2b-text2sql-gguf with Ollama:
ollama run hf.co/adamwhite625/gemma-2-2b-text2sql-gguf:Q4_K_M
- Unsloth Studio
How to use adamwhite625/gemma-2-2b-text2sql-gguf with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for adamwhite625/gemma-2-2b-text2sql-gguf to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for adamwhite625/gemma-2-2b-text2sql-gguf to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for adamwhite625/gemma-2-2b-text2sql-gguf to start chatting
- Docker Model Runner
How to use adamwhite625/gemma-2-2b-text2sql-gguf with Docker Model Runner:
docker model run hf.co/adamwhite625/gemma-2-2b-text2sql-gguf:Q4_K_M
- Lemonade
How to use adamwhite625/gemma-2-2b-text2sql-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull adamwhite625/gemma-2-2b-text2sql-gguf:Q4_K_M
Run and chat with the model
lemonade run user.gemma-2-2b-text2sql-gguf-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Trained with Unsloth - Ollama Modelfile
Browse files
Modelfile
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FROM gemma-2-2b-it.Q4_K_M.gguf
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TEMPLATE """<start_of_turn>user
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{{ if .System }}{{ .System }} {{ end }}{{ .Prompt }}<end_of_turn>
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<start_of_turn>model
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{{ .Response }}<end_of_turn>
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"""
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PARAMETER repeat_penalty 1
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PARAMETER stop "<start_of_turn>"
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PARAMETER stop "<end_of_turn>"
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PARAMETER penalize_newline false
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PARAMETER temperature 1.5
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PARAMETER min_p 0.1
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PARAMETER num_ctx 4096
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