Instructions to use skymizer/granite-4.0-tiny-base-preview-GGUF 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 skymizer/granite-4.0-tiny-base-preview-GGUF 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 skymizer/granite-4.0-tiny-base-preview-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf skymizer/granite-4.0-tiny-base-preview-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf skymizer/granite-4.0-tiny-base-preview-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf skymizer/granite-4.0-tiny-base-preview-GGUF: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 skymizer/granite-4.0-tiny-base-preview-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf skymizer/granite-4.0-tiny-base-preview-GGUF: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 skymizer/granite-4.0-tiny-base-preview-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf skymizer/granite-4.0-tiny-base-preview-GGUF:Q4_K_M
Use Docker
docker model run hf.co/skymizer/granite-4.0-tiny-base-preview-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use skymizer/granite-4.0-tiny-base-preview-GGUF with Ollama:
ollama run hf.co/skymizer/granite-4.0-tiny-base-preview-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use skymizer/granite-4.0-tiny-base-preview-GGUF with Docker Model Runner:
docker model run hf.co/skymizer/granite-4.0-tiny-base-preview-GGUF:Q4_K_M
- Lemonade
How to use skymizer/granite-4.0-tiny-base-preview-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull skymizer/granite-4.0-tiny-base-preview-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.granite-4.0-tiny-base-preview-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Update README.md
Browse files
README.md
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license: apache-2.0
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This the GGUF models are quantized from [ibm-granite/granite-4.0-tiny-base-preview](https://huggingface.co/ibm-granite/granite-4.0-tiny-base-preview)
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license: apache-2.0
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This the GGUF models are quantized from [ibm-granite/granite-4.0-tiny-base-preview](https://huggingface.co/ibm-granite/granite-4.0-tiny-base-preview)
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Granite-4.0-Tiny-Base-Preview is a 7B-parameter **hybrid mixture-of-experts (MoE)** language model featuring a 128k token context window. The architecture leverages **Mamba-2**, superimposed with a softmax attention for enhanced expressiveness, with **no positional encoding** for better length generalization.
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