How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf patrickbdevaney/llama3.1-8b-coding-gguf:# Run inference directly in the terminal:
llama-cli -hf patrickbdevaney/llama3.1-8b-coding-gguf:Use pre-built binary
# 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 patrickbdevaney/llama3.1-8b-coding-gguf:# Run inference directly in the terminal:
./llama-cli -hf patrickbdevaney/llama3.1-8b-coding-gguf:Build from source code
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 patrickbdevaney/llama3.1-8b-coding-gguf:# Run inference directly in the terminal:
./build/bin/llama-cli -hf patrickbdevaney/llama3.1-8b-coding-gguf:Use Docker
docker model run hf.co/patrickbdevaney/llama3.1-8b-coding-gguf:Quick Links
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Trained on the instruction column of the code alpaca dataset. I may retrain the model with a different dataset or reformat the data mapping to include all columns of the code alpaca dataset, merged as "text" for the dataset_text_field.
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Install from brew
# Start a local OpenAI-compatible server with a web UI: llama-server -hf patrickbdevaney/llama3.1-8b-coding-gguf:# Run inference directly in the terminal: llama-cli -hf patrickbdevaney/llama3.1-8b-coding-gguf: