Instructions to use ViorikaAI-org/CalmaCatCoder-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 ViorikaAI-org/CalmaCatCoder-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 ViorikaAI-org/CalmaCatCoder-GGUF:F16 # Run inference directly in the terminal: llama cli -hf ViorikaAI-org/CalmaCatCoder-GGUF:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf ViorikaAI-org/CalmaCatCoder-GGUF:F16 # Run inference directly in the terminal: llama cli -hf ViorikaAI-org/CalmaCatCoder-GGUF:F16
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 ViorikaAI-org/CalmaCatCoder-GGUF:F16 # Run inference directly in the terminal: ./llama-cli -hf ViorikaAI-org/CalmaCatCoder-GGUF:F16
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 ViorikaAI-org/CalmaCatCoder-GGUF:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf ViorikaAI-org/CalmaCatCoder-GGUF:F16
Use Docker
docker model run hf.co/ViorikaAI-org/CalmaCatCoder-GGUF:F16
- LM Studio
- Jan
- vLLM
How to use ViorikaAI-org/CalmaCatCoder-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ViorikaAI-org/CalmaCatCoder-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ViorikaAI-org/CalmaCatCoder-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/ViorikaAI-org/CalmaCatCoder-GGUF:F16
- Ollama
How to use ViorikaAI-org/CalmaCatCoder-GGUF with Ollama:
ollama run hf.co/ViorikaAI-org/CalmaCatCoder-GGUF:F16
- Unsloth Desktop
- Docker Model Runner
How to use ViorikaAI-org/CalmaCatCoder-GGUF with Docker Model Runner:
docker model run hf.co/ViorikaAI-org/CalmaCatCoder-GGUF:F16
- Lemonade
How to use ViorikaAI-org/CalmaCatCoder-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull ViorikaAI-org/CalmaCatCoder-GGUF:F16
Run and chat with the model
lemonade run user.CalmaCatCoder-GGUF-F16
List all available models
lemonade list
- Atomic Chat
Download CalmaCatCoder-280M-f16.gguf from ViorikaAI-org/CalmaCatCoder-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 564 MB
-
https://huggingface.co/ViorikaAI-org/CalmaCatCoder-GGUF/resolve/main/CalmaCatCoder-280M-f16.gguf
- Command line
-
hf download hf://ViorikaAI-org/CalmaCatCoder-GGUF/CalmaCatCoder-280M-f16.gguf
-
curl -L -o CalmaCatCoder-280M-f16.gguf https://huggingface.co/ViorikaAI-org/CalmaCatCoder-GGUF/resolve/main/CalmaCatCoder-280M-f16.gguf
564 MB
- Xet hash:
- c35e4436292bd4eb717f6860ff8be1d612f7bf260db4726ef5845e058cd76518
- Size of remote file:
- 564 MB
- SHA256:
- 657b8d804ac11dcdb1dc784b4d7fd3044f1eb11b32d006973e534761415e4026
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