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How to use raidhon/coven_tiny_1.1b_32k_orpo_alpha_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 raidhon/coven_tiny_1.1b_32k_orpo_alpha_gguf:Q8_0 # Run inference directly in the terminal: llama cli -hf raidhon/coven_tiny_1.1b_32k_orpo_alpha_gguf:Q8_0
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf raidhon/coven_tiny_1.1b_32k_orpo_alpha_gguf:Q8_0 # Run inference directly in the terminal: llama cli -hf raidhon/coven_tiny_1.1b_32k_orpo_alpha_gguf:Q8_0
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 raidhon/coven_tiny_1.1b_32k_orpo_alpha_gguf:Q8_0 # Run inference directly in the terminal: ./build/bin/llama cli -hf raidhon/coven_tiny_1.1b_32k_orpo_alpha_gguf:Q8_0
docker model run hf.co/raidhon/coven_tiny_1.1b_32k_orpo_alpha_gguf:Q8_0
How to use raidhon/coven_tiny_1.1b_32k_orpo_alpha_gguf with Ollama:
ollama run hf.co/raidhon/coven_tiny_1.1b_32k_orpo_alpha_gguf:Q8_0
How to use raidhon/coven_tiny_1.1b_32k_orpo_alpha_gguf with Docker Model Runner:
docker model run hf.co/raidhon/coven_tiny_1.1b_32k_orpo_alpha_gguf:Q8_0
How to use raidhon/coven_tiny_1.1b_32k_orpo_alpha_gguf with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull raidhon/coven_tiny_1.1b_32k_orpo_alpha_gguf:Q8_0
lemonade run user.coven_tiny_1.1b_32k_orpo_alpha_gguf-Q8_0
lemonade list
No model card
8-bit