How to use mobilint/Qwen2-VL-2B-Instruct-GGUF with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf mobilint/Qwen2-VL-2B-Instruct-GGUF # Run inference directly in the terminal: llama cli -hf mobilint/Qwen2-VL-2B-Instruct-GGUF
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf mobilint/Qwen2-VL-2B-Instruct-GGUF # Run inference directly in the terminal: llama cli -hf mobilint/Qwen2-VL-2B-Instruct-GGUF
# 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 mobilint/Qwen2-VL-2B-Instruct-GGUF # Run inference directly in the terminal: ./llama-cli -hf mobilint/Qwen2-VL-2B-Instruct-GGUF
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 mobilint/Qwen2-VL-2B-Instruct-GGUF # Run inference directly in the terminal: ./build/bin/llama-cli -hf mobilint/Qwen2-VL-2B-Instruct-GGUF
docker model run hf.co/mobilint/Qwen2-VL-2B-Instruct-GGUF
How to use mobilint/Qwen2-VL-2B-Instruct-GGUF with Ollama:
ollama run hf.co/mobilint/Qwen2-VL-2B-Instruct-GGUF
How to use mobilint/Qwen2-VL-2B-Instruct-GGUF with Docker Model Runner:
How to use mobilint/Qwen2-VL-2B-Instruct-GGUF with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull mobilint/Qwen2-VL-2B-Instruct-GGUF
lemonade run user.Qwen2-VL-2B-Instruct-GGUF-{{QUANT_TAG}}
lemonade list
library_name: gguf tags: - gguf - mobilint-qwen2_vl - endpoints_compatible - region:us - conversational - llama.cpp
