Instructions to use librepowerai/Granite-4.1-8B-Power 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 librepowerai/Granite-4.1-8B-Power 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 librepowerai/Granite-4.1-8B-Power:Q4_K_M # Run inference directly in the terminal: llama cli -hf librepowerai/Granite-4.1-8B-Power:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf librepowerai/Granite-4.1-8B-Power:Q4_K_M # Run inference directly in the terminal: llama cli -hf librepowerai/Granite-4.1-8B-Power:Q4_K_M
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf librepowerai/Granite-4.1-8B-Power:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf librepowerai/Granite-4.1-8B-Power:Q4_K_M
Use Docker
docker model run hf.co/librepowerai/Granite-4.1-8B-Power:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use librepowerai/Granite-4.1-8B-Power with Ollama:
ollama run hf.co/librepowerai/Granite-4.1-8B-Power:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use librepowerai/Granite-4.1-8B-Power with Docker Model Runner:
docker model run hf.co/librepowerai/Granite-4.1-8B-Power:Q4_K_M
- Lemonade
How to use librepowerai/Granite-4.1-8B-Power with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull librepowerai/Granite-4.1-8B-Power:Q4_K_M
Run and chat with the model
lemonade run user.Granite-4.1-8B-Power-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Granite-4.1-8B β Q4_K_M for IBM Power (Linux ppc64le + AIX)
Granite-4.1-8B quantized to Q4_K_M with a Q6_K output head for fast CPU inference on IBM Power β POWER9 (VSX) and POWER10/11 (MMA-accelerated) via LibrePower. No GPU required. Size: 5.0G.
Run it
Ubuntu / Debian ppc64le:
curl -fsSL https://linux.librepower.org/install.sh | sudo sh
sudo apt install librepower-llama
wget https://huggingface.co/librepowerai/Granite-4.1-8B-Power/resolve/main/Granite-4.1-8B-Q4_K_M.gguf
lp-llama-completion -m Granite-4.1-8B-Q4_K_M.gguf -p "Hello!" -n 64 -t $(nproc)
IBM AIX 7.3 (big-endian):
dnf install llama-aix
wget https://huggingface.co/librepowerai/Granite-4.1-8B-Power/resolve/main/Granite-4.1-8B-Q4_K_M-be.gguf
lp-llama-completion -m Granite-4.1-8B-Q4_K_M-be.gguf -p "Hello!" -n 64 -t $(nproc)
Files
Granite-4.1-8B-Q4_K_M.ggufβ little-endian (Ubuntu/Linux ppc64le)Granite-4.1-8B-Q4_K_M-be.ggufβ big-endian (IBM AIX)
Good for
IBM 8B dense, signed, ISO-42001: enterprise RAG, tool-calling, structured JSON, code
Credits
Base model by its original authors (Apache-2.0). Quantization & Power packaging: LibrePower.
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Model tree for librepowerai/Granite-4.1-8B-Power
Base model
ibm-granite/granite-4.1-8b