BramVanroy/ultra_feedback_dutch
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How to use NikolayKozloff/Llama-3-8B-dutch-GGUF with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf NikolayKozloff/Llama-3-8B-dutch-GGUF:Q8_0 # Run inference directly in the terminal: llama cli -hf NikolayKozloff/Llama-3-8B-dutch-GGUF:Q8_0
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf NikolayKozloff/Llama-3-8B-dutch-GGUF:Q8_0 # Run inference directly in the terminal: llama cli -hf NikolayKozloff/Llama-3-8B-dutch-GGUF:Q8_0
# 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 NikolayKozloff/Llama-3-8B-dutch-GGUF:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf NikolayKozloff/Llama-3-8B-dutch-GGUF:Q8_0
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 NikolayKozloff/Llama-3-8B-dutch-GGUF:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf NikolayKozloff/Llama-3-8B-dutch-GGUF:Q8_0
docker model run hf.co/NikolayKozloff/Llama-3-8B-dutch-GGUF:Q8_0
How to use NikolayKozloff/Llama-3-8B-dutch-GGUF with vLLM:
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "NikolayKozloff/Llama-3-8B-dutch-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "NikolayKozloff/Llama-3-8B-dutch-GGUF",
"messages": [
{
"role": "user",
"content": "What is the capital of France?"
}
]
}'docker model run hf.co/NikolayKozloff/Llama-3-8B-dutch-GGUF:Q8_0
How to use NikolayKozloff/Llama-3-8B-dutch-GGUF with Ollama:
ollama run hf.co/NikolayKozloff/Llama-3-8B-dutch-GGUF:Q8_0
How to use NikolayKozloff/Llama-3-8B-dutch-GGUF with Docker Model Runner:
docker model run hf.co/NikolayKozloff/Llama-3-8B-dutch-GGUF:Q8_0
How to use NikolayKozloff/Llama-3-8B-dutch-GGUF with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull NikolayKozloff/Llama-3-8B-dutch-GGUF:Q8_0
lemonade run user.Llama-3-8B-dutch-GGUF-Q8_0
lemonade list
This model was converted to GGUF format from ReBatch/Llama-3-8B-dutch using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.
Install llama.cpp through brew.
brew install ggerganov/ggerganov/llama.cpp
Invoke the llama.cpp server or the CLI.
CLI:
llama-cli --hf-repo NikolayKozloff/Llama-3-8B-dutch-Q8_0-GGUF --model llama-3-8b-dutch.Q8_0.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo NikolayKozloff/Llama-3-8B-dutch-Q8_0-GGUF --model llama-3-8b-dutch.Q8_0.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 llama-3-8b-dutch.Q8_0.gguf -n 128
8-bit
Base model
meta-llama/Meta-Llama-3-8B