output = llm(
"Once upon a time,",
max_tokens=512,
echo=True
)
print(output)AIRider/Meta-Llama-3-8B-Q4_K_M-GGUF
This model was converted to GGUF format from meta-llama/Meta-Llama-3-8B using llama.cpp
Use with llama.cpp
Install llama.cpp through brew.
brew install ggerganov/ggerganov/llama.cpp
Invoke the llama.cpp server or the CLI. CLI:
llama-cli --hf-repo AIRider/Meta-Llama-3-8B-Q4_K_M-GGUF --model meta-llama-3-8b-q4_k_m.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo AIRider/Meta-Llama-3-8B-Q4_K_M-GGUF --model meta-llama-3-8b-q4_k_m.gguf -c 2048
Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.
git clone https://github.com/ggerganov/llama.cpp && \
cd llama.cpp && \
make && \
./main -m meta-llama-3-8b-q4_k_m.gguf -n 128
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# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="AIRider/Meta-Llama-3-8B-Q4_K_M-GGUF", filename="meta-llama-3-8b-q4_k_m.gguf", )