Instructions to use Kernel/ganjar_4 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 Kernel/ganjar_4 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 Kernel/ganjar_4 # Run inference directly in the terminal: llama cli -hf Kernel/ganjar_4
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Kernel/ganjar_4 # Run inference directly in the terminal: llama cli -hf Kernel/ganjar_4
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 Kernel/ganjar_4 # Run inference directly in the terminal: ./llama-cli -hf Kernel/ganjar_4
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 Kernel/ganjar_4 # Run inference directly in the terminal: ./build/bin/llama-cli -hf Kernel/ganjar_4
Use Docker
docker model run hf.co/Kernel/ganjar_4
- LM Studio
- Jan
- Ollama
How to use Kernel/ganjar_4 with Ollama:
ollama run hf.co/Kernel/ganjar_4
- Unsloth Desktop
- Docker Model Runner
How to use Kernel/ganjar_4 with Docker Model Runner:
docker model run hf.co/Kernel/ganjar_4
- Lemonade
How to use Kernel/ganjar_4 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Kernel/ganjar_4
Run and chat with the model
lemonade run user.ganjar_4-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Download mix_5.gguf from Kernel/ganjar_4: direct link, hf CLI and curl.
- Browser
- Download file 32.2 GB
-
https://huggingface.co/Kernel/ganjar_4/resolve/main/mix_5.gguf
- Command line
-
hf download hf://Kernel/ganjar_4/mix_5.gguf
-
curl -L -o mix_5.gguf https://huggingface.co/Kernel/ganjar_4/resolve/main/mix_5.gguf
32.2 GB
- Xet hash:
- f859f6b1622a97f459fa331125765ddaf0e3649d333266569b04f6dd372bde17
- Size of remote file:
- 32.2 GB
- SHA256:
- b2900be33b13ed8780bd68584ea98fe577d1cf3b3187019fe82b0371d2c0616e
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