open-llm-leaderboard-old/details_microsoft__Orca-2-13b
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How to use rob-x-ai/Orca-2-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="rob-x-ai/Orca-2-GGUF", filename="Orca-2-13b-Q4_K_M.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
How to use rob-x-ai/Orca-2-GGUF with llama.cpp:
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf rob-x-ai/Orca-2-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf rob-x-ai/Orca-2-GGUF:Q4_K_M
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf rob-x-ai/Orca-2-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf rob-x-ai/Orca-2-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 rob-x-ai/Orca-2-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf rob-x-ai/Orca-2-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 rob-x-ai/Orca-2-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf rob-x-ai/Orca-2-GGUF:Q4_K_M
docker model run hf.co/rob-x-ai/Orca-2-GGUF:Q4_K_M
How to use rob-x-ai/Orca-2-GGUF with Ollama:
ollama run hf.co/rob-x-ai/Orca-2-GGUF:Q4_K_M
How to use rob-x-ai/Orca-2-GGUF with Unsloth Studio:
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for rob-x-ai/Orca-2-GGUF to start chatting
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for rob-x-ai/Orca-2-GGUF to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for rob-x-ai/Orca-2-GGUF to start chatting
How to use rob-x-ai/Orca-2-GGUF with Docker Model Runner:
docker model run hf.co/rob-x-ai/Orca-2-GGUF:Q4_K_M
How to use rob-x-ai/Orca-2-GGUF with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull rob-x-ai/Orca-2-GGUF:Q4_K_M
lemonade run user.Orca-2-GGUF-Q4_K_M
lemonade list
This is a quantized GGUF version of Orca-2 7B and 13B quantized to 4_0 and 8_0 bits.
(link to the original model : https://www.microsoft.com/en-us/research/blog/orca-2-teaching-small-language-models-how-to-reason/)
4-bit
8-bit