Instructions to use Alevnokc/Gemma-3-27B-Roblox-Luau 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 Alevnokc/Gemma-3-27B-Roblox-Luau 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 Alevnokc/Gemma-3-27B-Roblox-Luau:Q4_K_M # Run inference directly in the terminal: llama cli -hf Alevnokc/Gemma-3-27B-Roblox-Luau:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Alevnokc/Gemma-3-27B-Roblox-Luau:Q4_K_M # Run inference directly in the terminal: llama cli -hf Alevnokc/Gemma-3-27B-Roblox-Luau: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 Alevnokc/Gemma-3-27B-Roblox-Luau:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Alevnokc/Gemma-3-27B-Roblox-Luau: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 Alevnokc/Gemma-3-27B-Roblox-Luau:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Alevnokc/Gemma-3-27B-Roblox-Luau:Q4_K_M
Use Docker
docker model run hf.co/Alevnokc/Gemma-3-27B-Roblox-Luau:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use Alevnokc/Gemma-3-27B-Roblox-Luau with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Alevnokc/Gemma-3-27B-Roblox-Luau" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Alevnokc/Gemma-3-27B-Roblox-Luau", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Alevnokc/Gemma-3-27B-Roblox-Luau:Q4_K_M
- Ollama
How to use Alevnokc/Gemma-3-27B-Roblox-Luau with Ollama:
ollama run hf.co/Alevnokc/Gemma-3-27B-Roblox-Luau:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use Alevnokc/Gemma-3-27B-Roblox-Luau with Docker Model Runner:
docker model run hf.co/Alevnokc/Gemma-3-27B-Roblox-Luau:Q4_K_M
- Lemonade
How to use Alevnokc/Gemma-3-27B-Roblox-Luau with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Alevnokc/Gemma-3-27B-Roblox-Luau:Q4_K_M
Run and chat with the model
lemonade run user.Gemma-3-27B-Roblox-Luau-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download model-00016-of-00023.safetensors from Alevnokc/Gemma-3-27B-Roblox-Luau: direct link, hf CLI and curl.
- Browser
- Download file 4.95 GB
-
https://huggingface.co/Alevnokc/Gemma-3-27B-Roblox-Luau/resolve/main/model-00016-of-00023.safetensors
- Command line
-
hf download hf://Alevnokc/Gemma-3-27B-Roblox-Luau/model-00016-of-00023.safetensors
-
curl -L -o model-00016-of-00023.safetensors https://huggingface.co/Alevnokc/Gemma-3-27B-Roblox-Luau/resolve/main/model-00016-of-00023.safetensors
4.95 GB
- Xet hash:
- c5e97b8e5aed6a604931bc8058d96e475b43e3d9abba5f1d76523784c5ad2487
- Size of remote file:
- 4.95 GB
- SHA256:
- 13654758718093fa41d428e7ec9c2bf877a1b330ff70daf16817ea2224ca5ed7
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