Instructions to use salihbicakci/turkish-recipe-gemma2-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use salihbicakci/turkish-recipe-gemma2-2b with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="salihbicakci/turkish-recipe-gemma2-2b", filename="turkish-recipe-q4_k_m.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use salihbicakci/turkish-recipe-gemma2-2b 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 salihbicakci/turkish-recipe-gemma2-2b:Q4_K_M # Run inference directly in the terminal: llama cli -hf salihbicakci/turkish-recipe-gemma2-2b:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf salihbicakci/turkish-recipe-gemma2-2b:Q4_K_M # Run inference directly in the terminal: llama cli -hf salihbicakci/turkish-recipe-gemma2-2b: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 salihbicakci/turkish-recipe-gemma2-2b:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf salihbicakci/turkish-recipe-gemma2-2b: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 salihbicakci/turkish-recipe-gemma2-2b:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf salihbicakci/turkish-recipe-gemma2-2b:Q4_K_M
Use Docker
docker model run hf.co/salihbicakci/turkish-recipe-gemma2-2b:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use salihbicakci/turkish-recipe-gemma2-2b with Ollama:
ollama run hf.co/salihbicakci/turkish-recipe-gemma2-2b:Q4_K_M
- Unsloth Studio
How to use salihbicakci/turkish-recipe-gemma2-2b 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 salihbicakci/turkish-recipe-gemma2-2b 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 salihbicakci/turkish-recipe-gemma2-2b to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for salihbicakci/turkish-recipe-gemma2-2b to start chatting
- Atomic Chat new
- Docker Model Runner
How to use salihbicakci/turkish-recipe-gemma2-2b with Docker Model Runner:
docker model run hf.co/salihbicakci/turkish-recipe-gemma2-2b:Q4_K_M
- Lemonade
How to use salihbicakci/turkish-recipe-gemma2-2b with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull salihbicakci/turkish-recipe-gemma2-2b:Q4_K_M
Run and chat with the model
lemonade run user.turkish-recipe-gemma2-2b-Q4_K_M
List all available models
lemonade list
How to use from
LemonadeRun and chat with the model
lemonade run user.turkish-recipe-gemma2-2b-Q4_K_MList all available models
lemonade listQuick Links
Turkish Recipe Gemma 2 2B
Gemma 2 2B Instruct modelinin, havva-nur/turkish-food-recipes veri seti ile fine-tune edilmis hali.
Kullanim (Ollama)
# Modelfile olustur
echo 'FROM ./turkish-recipe-q4_k_m.gguf' > Modelfile
ollama create turkish-recipe -f Modelfile
ollama run turkish-recipe "Bana karniyarik tarifi verir misin?"
Egitim Detaylari
- Base model: unsloth/gemma-2-2b-it
- Egitim verisi: havva-nur/turkish-food-recipes (11,755 tarif)
- Yontem: LoRA (r=16) + SFT
- Donanim: RTX 5090 Laptop GPU
- Framework: Unsloth
- Downloads last month
- 10
Hardware compatibility
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Pull the model
# Download Lemonade from https://lemonade-server.ai/