How to use from
llama.cpp
Install from brew
brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Kquant03/Michel-13B-GGUF:
# Run inference directly in the terminal:
llama-cli -hf Kquant03/Michel-13B-GGUF:
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Kquant03/Michel-13B-GGUF:
# Run inference directly in the terminal:
llama-cli -hf Kquant03/Michel-13B-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 Kquant03/Michel-13B-GGUF:
# Run inference directly in the terminal:
./llama-cli -hf Kquant03/Michel-13B-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 Kquant03/Michel-13B-GGUF:
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Kquant03/Michel-13B-GGUF:
Use Docker
docker model run hf.co/Kquant03/Michel-13B-GGUF:
Quick Links

Michel - 13B

BASE MODEL HERE A Uncensored fine tune model general tasks focused of NousHermes-Llama2-13B.

  • Uses Llama2 prompt template.
  • It has been fine tune with a newer dataset :)
  • Next one will be more interesting :}

Thank you h2m for the compute

Have Fun :)

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GGUF
Model size
13B params
Architecture
llama
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