Instructions to use pmysl/c4ai-command-r-plus-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 pmysl/c4ai-command-r-plus-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 pmysl/c4ai-command-r-plus-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf pmysl/c4ai-command-r-plus-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 pmysl/c4ai-command-r-plus-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf pmysl/c4ai-command-r-plus-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 pmysl/c4ai-command-r-plus-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf pmysl/c4ai-command-r-plus-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 pmysl/c4ai-command-r-plus-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf pmysl/c4ai-command-r-plus-GGUF:Q4_K_M
Use Docker
docker model run hf.co/pmysl/c4ai-command-r-plus-GGUF:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use pmysl/c4ai-command-r-plus-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "pmysl/c4ai-command-r-plus-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": "pmysl/c4ai-command-r-plus-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/pmysl/c4ai-command-r-plus-GGUF:Q4_K_M
- Ollama
How to use pmysl/c4ai-command-r-plus-GGUF with Ollama:
ollama run hf.co/pmysl/c4ai-command-r-plus-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use pmysl/c4ai-command-r-plus-GGUF with Docker Model Runner:
docker model run hf.co/pmysl/c4ai-command-r-plus-GGUF:Q4_K_M
- Lemonade
How to use pmysl/c4ai-command-r-plus-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull pmysl/c4ai-command-r-plus-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.c4ai-command-r-plus-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
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Download README.md from pmysl/c4ai-command-r-plus-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 414 Bytes
-
https://huggingface.co/pmysl/c4ai-command-r-plus-GGUF/resolve/86918a8a50b048eaf41a61cfc96b134194382598/README.md
- Command line
-
hf download hf://pmysl/c4ai-command-r-plus-GGUF@86918a8a50b048eaf41a61cfc96b134194382598/README.md
-
curl -L -o README.md https://huggingface.co/pmysl/c4ai-command-r-plus-GGUF/resolve/86918a8a50b048eaf41a61cfc96b134194382598/README.md
414 Bytes
metadata
license: cc-by-nc-4.0
Command R+ GGUF
This repository contains experimental GGUF weights that are currently compatible only with the following fork: https://github.com/Noeda/llama.cpp/tree/53f71f0026cbed4588b2ad16c51db630d2745794. I will update them once support for Command R+ is merged into the llama.cpp repository