How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Limour/CausalLM-14B-GGUF:# Run inference directly in the terminal:
llama cli -hf Limour/CausalLM-14B-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 Limour/CausalLM-14B-GGUF:# Run inference directly in the terminal:
./llama-cli -hf Limour/CausalLM-14B-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 Limour/CausalLM-14B-GGUF:# Run inference directly in the terminal:
./build/bin/llama-cli -hf Limour/CausalLM-14B-GGUF:Use Docker
docker model run hf.co/Limour/CausalLM-14B-GGUF:Quick Links
Quantize
- https://www.kaggle.com/code/reginliu/causallm2gguf-imatrix
- https://colab.research.google.com/drive/1JT3XFjD7CTRB97pu3QpeGuzWA1yYEAM7?usp=sharing
Perplexity
- causallm_14b.IQ4_XS.gguf: PPL = 13.4127 +/- 0.13762
- causallm_14b.IQ3_XS.gguf: PPL = 13.3798 +/- 0.13641
- causallm_14b.IQ2_XXS.gguf: PPL = 15.0160 +/- 0.15004
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Hardware compatibility
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Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf Limour/CausalLM-14B-GGUF:# Run inference directly in the terminal: llama cli -hf Limour/CausalLM-14B-GGUF: