Instructions to use TableCheck/gemma-3-27b-it-ft-query-extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TableCheck/gemma-3-27b-it-ft-query-extraction with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-3-27b-it-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "TableCheck/gemma-3-27b-it-ft-query-extraction") - Transformers
How to use TableCheck/gemma-3-27b-it-ft-query-extraction with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TableCheck/gemma-3-27b-it-ft-query-extraction", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use TableCheck/gemma-3-27b-it-ft-query-extraction 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 TableCheck/gemma-3-27b-it-ft-query-extraction:BF16 # Run inference directly in the terminal: llama cli -hf TableCheck/gemma-3-27b-it-ft-query-extraction:BF16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf TableCheck/gemma-3-27b-it-ft-query-extraction:BF16 # Run inference directly in the terminal: llama cli -hf TableCheck/gemma-3-27b-it-ft-query-extraction:BF16
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 TableCheck/gemma-3-27b-it-ft-query-extraction:BF16 # Run inference directly in the terminal: ./llama-cli -hf TableCheck/gemma-3-27b-it-ft-query-extraction:BF16
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 TableCheck/gemma-3-27b-it-ft-query-extraction:BF16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf TableCheck/gemma-3-27b-it-ft-query-extraction:BF16
Use Docker
docker model run hf.co/TableCheck/gemma-3-27b-it-ft-query-extraction:BF16
- LM Studio
- Jan
- Ollama
How to use TableCheck/gemma-3-27b-it-ft-query-extraction with Ollama:
ollama run hf.co/TableCheck/gemma-3-27b-it-ft-query-extraction:BF16
- Unsloth Desktop
- Docker Model Runner
How to use TableCheck/gemma-3-27b-it-ft-query-extraction with Docker Model Runner:
docker model run hf.co/TableCheck/gemma-3-27b-it-ft-query-extraction:BF16
- Lemonade
How to use TableCheck/gemma-3-27b-it-ft-query-extraction with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull TableCheck/gemma-3-27b-it-ft-query-extraction:BF16
Run and chat with the model
lemonade run user.gemma-3-27b-it-ft-query-extraction-BF16
List all available models
lemonade list
- Atomic Chat
Commit History
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