Instructions to use Mr-J-369/KleidiAi_support 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 Mr-J-369/KleidiAi_support 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 Mr-J-369/KleidiAi_support:Q4_0 # Run inference directly in the terminal: llama cli -hf Mr-J-369/KleidiAi_support:Q4_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Mr-J-369/KleidiAi_support:Q4_0 # Run inference directly in the terminal: llama cli -hf Mr-J-369/KleidiAi_support:Q4_0
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 Mr-J-369/KleidiAi_support:Q4_0 # Run inference directly in the terminal: ./llama-cli -hf Mr-J-369/KleidiAi_support:Q4_0
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 Mr-J-369/KleidiAi_support:Q4_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf Mr-J-369/KleidiAi_support:Q4_0
Use Docker
docker model run hf.co/Mr-J-369/KleidiAi_support:Q4_0
- LM Studio
- Jan
- Ollama
How to use Mr-J-369/KleidiAi_support with Ollama:
ollama run hf.co/Mr-J-369/KleidiAi_support:Q4_0
- Unsloth Desktop
- Docker Model Runner
How to use Mr-J-369/KleidiAi_support with Docker Model Runner:
docker model run hf.co/Mr-J-369/KleidiAi_support:Q4_0
- Lemonade
How to use Mr-J-369/KleidiAi_support with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Mr-J-369/KleidiAi_support:Q4_0
Run and chat with the model
lemonade run user.KleidiAi_support-Q4_0
List all available models
lemonade list
- Atomic Chat
KleidiAi_support
Pure Q4_0 GGUF conversions built for KleidiAI support: blazing fast on NPU, with even better performance on CPU.
Use anywhere
Standard GGUF files โ load them in llama.cpp, Ollama, LM Studio, or anything else that runs GGUF models. No lock-in.
Tuned for FancyAI
These quants are the recommended models in FancyAI (fancyai-os.com), the free and open-source Android app built around on-device NPU/CPU inference.
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