Instructions to use iimaginary/livecoding 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 iimaginary/livecoding 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 iimaginary/livecoding:Q4_K_M # Run inference directly in the terminal: llama cli -hf iimaginary/livecoding:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf iimaginary/livecoding:Q4_K_M # Run inference directly in the terminal: llama cli -hf iimaginary/livecoding: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 iimaginary/livecoding:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf iimaginary/livecoding: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 iimaginary/livecoding:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf iimaginary/livecoding:Q4_K_M
Use Docker
docker model run hf.co/iimaginary/livecoding:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use iimaginary/livecoding with Ollama:
ollama run hf.co/iimaginary/livecoding:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use iimaginary/livecoding with Docker Model Runner:
docker model run hf.co/iimaginary/livecoding:Q4_K_M
- Lemonade
How to use iimaginary/livecoding with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull iimaginary/livecoding:Q4_K_M
Run and chat with the model
lemonade run user.livecoding-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download livecoding-unsloth.Q4_K_M.gguf from iimaginary/livecoding: direct link, hf CLI and curl.
- Browser
- Download file 4.92 GB
-
https://huggingface.co/iimaginary/livecoding/resolve/main/livecoding-unsloth.Q4_K_M.gguf
- Command line
-
hf download hf://iimaginary/livecoding/livecoding-unsloth.Q4_K_M.gguf
-
curl -L -o livecoding-unsloth.Q4_K_M.gguf https://huggingface.co/iimaginary/livecoding/resolve/main/livecoding-unsloth.Q4_K_M.gguf
4.92 GB
- Xet hash:
- 74abfd1a5231e461b44b651f4e5c7165d42ac8f9a10ed6776b8e3c951fdcfb4d
- Size of remote file:
- 4.92 GB
- SHA256:
- 36095b170640d8cdd489eb72f7b66ad3eacffadfcaea5c9e7b529e4bc4886214
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