How to use sizzlebop/Toucan-Qwen2.5-7B-Instruct-v0.1-Q8_0-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 sizzlebop/Toucan-Qwen2.5-7B-Instruct-v0.1-Q8_0-GGUF:Q8_0 # Run inference directly in the terminal: llama cli -hf sizzlebop/Toucan-Qwen2.5-7B-Instruct-v0.1-Q8_0-GGUF:Q8_0
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf sizzlebop/Toucan-Qwen2.5-7B-Instruct-v0.1-Q8_0-GGUF:Q8_0 # Run inference directly in the terminal: llama cli -hf sizzlebop/Toucan-Qwen2.5-7B-Instruct-v0.1-Q8_0-GGUF:Q8_0
# 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/Toucan-Qwen2.5-7B-Instruct-v0.1-Q8_0-GGUF:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf sizzlebop/Toucan-Qwen2.5-7B-Instruct-v0.1-Q8_0-GGUF:Q8_0
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/Toucan-Qwen2.5-7B-Instruct-v0.1-Q8_0-GGUF:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf sizzlebop/Toucan-Qwen2.5-7B-Instruct-v0.1-Q8_0-GGUF:Q8_0
docker model run hf.co/sizzlebop/Toucan-Qwen2.5-7B-Instruct-v0.1-Q8_0-GGUF:Q8_0
How to use sizzlebop/Toucan-Qwen2.5-7B-Instruct-v0.1-Q8_0-GGUF with Ollama:
ollama run hf.co/sizzlebop/Toucan-Qwen2.5-7B-Instruct-v0.1-Q8_0-GGUF:Q8_0
How to use sizzlebop/Toucan-Qwen2.5-7B-Instruct-v0.1-Q8_0-GGUF with Docker Model Runner:
How to use sizzlebop/Toucan-Qwen2.5-7B-Instruct-v0.1-Q8_0-GGUF with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull sizzlebop/Toucan-Qwen2.5-7B-Instruct-v0.1-Q8_0-GGUF:Q8_0
lemonade run user.Toucan-Qwen2.5-7B-Instruct-v0.1-Q8_0-GGUF-Q8_0
lemonade list
