How to use CohereLabs/tiny-aya-global-GGUF with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("CohereLabs/tiny-aya-global-GGUF", device_map="auto")
How to use CohereLabs/tiny-aya-global-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 CohereLabs/tiny-aya-global-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf CohereLabs/tiny-aya-global-GGUF:Q4_K_M
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf CohereLabs/tiny-aya-global-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf CohereLabs/tiny-aya-global-GGUF:Q4_K_M
# 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 CohereLabs/tiny-aya-global-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf CohereLabs/tiny-aya-global-GGUF:Q4_K_M
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 CohereLabs/tiny-aya-global-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf CohereLabs/tiny-aya-global-GGUF:Q4_K_M
docker model run hf.co/CohereLabs/tiny-aya-global-GGUF:Q4_K_M
How to use CohereLabs/tiny-aya-global-GGUF with Ollama:
ollama run hf.co/CohereLabs/tiny-aya-global-GGUF:Q4_K_M
How to use CohereLabs/tiny-aya-global-GGUF with Docker Model Runner:
How to use CohereLabs/tiny-aya-global-GGUF with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull CohereLabs/tiny-aya-global-GGUF:Q4_K_M
lemonade run user.tiny-aya-global-GGUF-Q4_K_M
lemonade list
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