Instructions to use TobDeBer/myContainers 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 TobDeBer/myContainers 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 TobDeBer/myContainers # Run inference directly in the terminal: llama cli -hf TobDeBer/myContainers
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf TobDeBer/myContainers # Run inference directly in the terminal: llama cli -hf TobDeBer/myContainers
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 TobDeBer/myContainers # Run inference directly in the terminal: ./llama-cli -hf TobDeBer/myContainers
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 TobDeBer/myContainers # Run inference directly in the terminal: ./build/bin/llama-cli -hf TobDeBer/myContainers
Use Docker
docker model run hf.co/TobDeBer/myContainers
- LM Studio
- Jan
- Ollama
How to use TobDeBer/myContainers with Ollama:
ollama run hf.co/TobDeBer/myContainers
- Unsloth Desktop
- Docker Model Runner
How to use TobDeBer/myContainers with Docker Model Runner:
docker model run hf.co/TobDeBer/myContainers
- Lemonade
How to use TobDeBer/myContainers with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull TobDeBer/myContainers
Run and chat with the model
lemonade run user.myContainers-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Download llama-cli from TobDeBer/myContainers: direct link, hf CLI and curl.
- Browser
- Download file 46.1 MB
-
https://huggingface.co/TobDeBer/myContainers/resolve/main/llama-cli
- Command line
-
hf download hf://TobDeBer/myContainers/llama-cli
-
curl -L -o llama-cli https://huggingface.co/TobDeBer/myContainers/resolve/main/llama-cli
46.1 MB
- Xet hash:
- 708a60e3773c0d54b41de306b99261ceb631c43b27b566a9dc1239e5b530c59c
- Size of remote file:
- 46.1 MB
- SHA256:
- 1f5c7b8bef900b48c28c97e5abfc0ced80b7f1168667e916e11f0dc242ffd089
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