How to use LoneStriker/OrpoLlama-3-8B-GGUF with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LoneStriker/OrpoLlama-3-8B-GGUF", device_map="auto")
How to use LoneStriker/OrpoLlama-3-8B-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 LoneStriker/OrpoLlama-3-8B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf LoneStriker/OrpoLlama-3-8B-GGUF:Q4_K_M
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf LoneStriker/OrpoLlama-3-8B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf LoneStriker/OrpoLlama-3-8B-GGUF:Q4_K_M
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 LoneStriker/OrpoLlama-3-8B-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf LoneStriker/OrpoLlama-3-8B-GGUF:Q4_K_M
docker model run hf.co/LoneStriker/OrpoLlama-3-8B-GGUF:Q4_K_M
How to use LoneStriker/OrpoLlama-3-8B-GGUF with Ollama:
ollama run hf.co/LoneStriker/OrpoLlama-3-8B-GGUF:Q4_K_M
How to use LoneStriker/OrpoLlama-3-8B-GGUF with Docker Model Runner:
How to use LoneStriker/OrpoLlama-3-8B-GGUF with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull LoneStriker/OrpoLlama-3-8B-GGUF:Q4_K_M
lemonade run user.OrpoLlama-3-8B-GGUF-Q4_K_M
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