Instructions to use QuantFactory/granite-7b-lab-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 QuantFactory/granite-7b-lab-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 QuantFactory/granite-7b-lab-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf QuantFactory/granite-7b-lab-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 QuantFactory/granite-7b-lab-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf QuantFactory/granite-7b-lab-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 QuantFactory/granite-7b-lab-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf QuantFactory/granite-7b-lab-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 QuantFactory/granite-7b-lab-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf QuantFactory/granite-7b-lab-GGUF:Q4_K_M
Use Docker
docker model run hf.co/QuantFactory/granite-7b-lab-GGUF:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use QuantFactory/granite-7b-lab-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "QuantFactory/granite-7b-lab-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "QuantFactory/granite-7b-lab-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/QuantFactory/granite-7b-lab-GGUF:Q4_K_M
- Ollama
How to use QuantFactory/granite-7b-lab-GGUF with Ollama:
ollama run hf.co/QuantFactory/granite-7b-lab-GGUF:Q4_K_M
- Unsloth Studio
How to use QuantFactory/granite-7b-lab-GGUF with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for QuantFactory/granite-7b-lab-GGUF to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for QuantFactory/granite-7b-lab-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for QuantFactory/granite-7b-lab-GGUF to start chatting
- Docker Model Runner
How to use QuantFactory/granite-7b-lab-GGUF with Docker Model Runner:
docker model run hf.co/QuantFactory/granite-7b-lab-GGUF:Q4_K_M
- Lemonade
How to use QuantFactory/granite-7b-lab-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull QuantFactory/granite-7b-lab-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.granite-7b-lab-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Update README.md
Browse files
README.md
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# QuantFactory/granite-7b-lab-GGUF
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This is quantized version of [instructlab/granite-7b-lab](https://huggingface.co/instructlab/granite-7b-lab) created using llama.cpp
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<img src = "https://lh7-us.googleusercontent.com/docsz/AD_4nXfrlKyH6elkxeyrKw4el9j8V3IOQLsqTVngg19Akt6se1Eq2xaocCEjOmc1w8mq5ENHeYfpzRWjYB8D4mtmMPsiH7QyX_Ii1kEM7bk8eMzO68y9JEuDcoJxJBgbNDzRbTdVXylN9_zjrEposDwsoN7csKiD?key=xt3VSDoCbmTY7o-cwwOFwQ" style="height: 150px; width: 400px;">
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# QuantFactory/granite-7b-lab-GGUF
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This is quantized version of [instructlab/granite-7b-lab](https://huggingface.co/instructlab/granite-7b-lab) created using llama.cpp
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