Instructions to use Hansda/ScreenVLM-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 Hansda/ScreenVLM-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 Hansda/ScreenVLM-GGUF:F16 # Run inference directly in the terminal: llama cli -hf Hansda/ScreenVLM-GGUF:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Hansda/ScreenVLM-GGUF:F16 # Run inference directly in the terminal: llama cli -hf Hansda/ScreenVLM-GGUF:F16
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 Hansda/ScreenVLM-GGUF:F16 # Run inference directly in the terminal: ./build/bin/llama cli -hf Hansda/ScreenVLM-GGUF:F16
Use Docker
docker model run hf.co/Hansda/ScreenVLM-GGUF:F16
- Llama new
- LM Studio
- Jan
- vLLM
How to use Hansda/ScreenVLM-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Hansda/ScreenVLM-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": "Hansda/ScreenVLM-GGUF", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/Hansda/ScreenVLM-GGUF:F16
- Ollama
How to use Hansda/ScreenVLM-GGUF with Ollama:
ollama run hf.co/Hansda/ScreenVLM-GGUF:F16
- Unsloth Desktop
- Docker Model Runner
How to use Hansda/ScreenVLM-GGUF with Docker Model Runner:
docker model run hf.co/Hansda/ScreenVLM-GGUF:F16
- Lemonade
How to use Hansda/ScreenVLM-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Hansda/ScreenVLM-GGUF:F16
Run and chat with the model
lemonade run user.ScreenVLM-GGUF-F16
List all available models
lemonade list
- Atomic Chat
Publish ScreenVLM-F16.gguf
Browse files- .gitattributes +1 -0
- README.md +1 -1
- ScreenVLM-F16.gguf +3 -0
- model-manifest.json +7 -0
.gitattributes
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"sha256": "1d033fb9003a320399cb634c1810587d14fecbcd660723c025073f3360e8213b"
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