Instructions to use sizzlebop/granite-4.0-h-tiny-IQ4_NL-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sizzlebop/granite-4.0-h-tiny-IQ4_NL-GGUF with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sizzlebop/granite-4.0-h-tiny-IQ4_NL-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use sizzlebop/granite-4.0-h-tiny-IQ4_NL-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 sizzlebop/granite-4.0-h-tiny-IQ4_NL-GGUF:IQ4_NL # Run inference directly in the terminal: llama cli -hf sizzlebop/granite-4.0-h-tiny-IQ4_NL-GGUF:IQ4_NL
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf sizzlebop/granite-4.0-h-tiny-IQ4_NL-GGUF:IQ4_NL # Run inference directly in the terminal: llama cli -hf sizzlebop/granite-4.0-h-tiny-IQ4_NL-GGUF:IQ4_NL
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 sizzlebop/granite-4.0-h-tiny-IQ4_NL-GGUF:IQ4_NL # Run inference directly in the terminal: ./llama-cli -hf sizzlebop/granite-4.0-h-tiny-IQ4_NL-GGUF:IQ4_NL
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 sizzlebop/granite-4.0-h-tiny-IQ4_NL-GGUF:IQ4_NL # Run inference directly in the terminal: ./build/bin/llama-cli -hf sizzlebop/granite-4.0-h-tiny-IQ4_NL-GGUF:IQ4_NL
Use Docker
docker model run hf.co/sizzlebop/granite-4.0-h-tiny-IQ4_NL-GGUF:IQ4_NL
- LM Studio
- Jan
- Ollama
How to use sizzlebop/granite-4.0-h-tiny-IQ4_NL-GGUF with Ollama:
ollama run hf.co/sizzlebop/granite-4.0-h-tiny-IQ4_NL-GGUF:IQ4_NL
- Unsloth Desktop
- Docker Model Runner
How to use sizzlebop/granite-4.0-h-tiny-IQ4_NL-GGUF with Docker Model Runner:
docker model run hf.co/sizzlebop/granite-4.0-h-tiny-IQ4_NL-GGUF:IQ4_NL
- Lemonade
How to use sizzlebop/granite-4.0-h-tiny-IQ4_NL-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull sizzlebop/granite-4.0-h-tiny-IQ4_NL-GGUF:IQ4_NL
Run and chat with the model
lemonade run user.granite-4.0-h-tiny-IQ4_NL-GGUF-IQ4_NL
List all available models
lemonade list
- Atomic Chat
Download imatrix.dat from sizzlebop/granite-4.0-h-tiny-IQ4_NL-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 38.5 MB
-
https://huggingface.co/sizzlebop/granite-4.0-h-tiny-IQ4_NL-GGUF/resolve/main/imatrix.dat
- Command line
-
hf download hf://sizzlebop/granite-4.0-h-tiny-IQ4_NL-GGUF/imatrix.dat
-
curl -L -o imatrix.dat https://huggingface.co/sizzlebop/granite-4.0-h-tiny-IQ4_NL-GGUF/resolve/main/imatrix.dat
38.5 MB
- Xet hash:
- ec82ec9d28d1760c6a5d4aa1dfe422cf8bfd31bfeb0afa9d26451e623f3352ee
- Size of remote file:
- 38.5 MB
- SHA256:
- d229643fe61ddc95a93dbaee2326aa0a575332ed2bcc56bdbbef5daaf9f9836a
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