NetoAISolutions/NetBench
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How to use GabrielZedekiel/Llama-3_8b_Instruct_NetbBench_Shodan with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf GabrielZedekiel/Llama-3_8b_Instruct_NetbBench_Shodan:Q4_K_M # Run inference directly in the terminal: llama cli -hf GabrielZedekiel/Llama-3_8b_Instruct_NetbBench_Shodan:Q4_K_M
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf GabrielZedekiel/Llama-3_8b_Instruct_NetbBench_Shodan:Q4_K_M # Run inference directly in the terminal: llama cli -hf GabrielZedekiel/Llama-3_8b_Instruct_NetbBench_Shodan:Q4_K_M
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf GabrielZedekiel/Llama-3_8b_Instruct_NetbBench_Shodan:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf GabrielZedekiel/Llama-3_8b_Instruct_NetbBench_Shodan:Q4_K_M
docker model run hf.co/GabrielZedekiel/Llama-3_8b_Instruct_NetbBench_Shodan:Q4_K_M
How to use GabrielZedekiel/Llama-3_8b_Instruct_NetbBench_Shodan with Ollama:
ollama run hf.co/GabrielZedekiel/Llama-3_8b_Instruct_NetbBench_Shodan:Q4_K_M
How to use GabrielZedekiel/Llama-3_8b_Instruct_NetbBench_Shodan with Docker Model Runner:
docker model run hf.co/GabrielZedekiel/Llama-3_8b_Instruct_NetbBench_Shodan:Q4_K_M
How to use GabrielZedekiel/Llama-3_8b_Instruct_NetbBench_Shodan with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull GabrielZedekiel/Llama-3_8b_Instruct_NetbBench_Shodan:Q4_K_M
lemonade run user.Llama-3_8b_Instruct_NetbBench_Shodan-Q4_K_M
lemonade list
This model was finetuned and converted to GGUF format using Unsloth.
Example usage:
llama-3-8b-instruct.Q4_K_M.ggufAn Ollama Modelfile is included for easy deployment.
4-bit
Base model
meta-llama/Llama-3.1-8B