How to use from
llama.cpp
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Novaciano/BuddyGlass-10b_Uncensored_Erotiquant3-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Novaciano/BuddyGlass-10b_Uncensored_Erotiquant3-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Novaciano/BuddyGlass-10b_Uncensored_Erotiquant3-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Novaciano/BuddyGlass-10b_Uncensored_Erotiquant3-GGUF:Q4_K_M
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 Novaciano/BuddyGlass-10b_Uncensored_Erotiquant3-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Novaciano/BuddyGlass-10b_Uncensored_Erotiquant3-GGUF:Q4_K_M
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 Novaciano/BuddyGlass-10b_Uncensored_Erotiquant3-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Novaciano/BuddyGlass-10b_Uncensored_Erotiquant3-GGUF:Q4_K_M
Use Docker
docker model run hf.co/Novaciano/BuddyGlass-10b_Uncensored_Erotiquant3-GGUF:Q4_K_M
Quick Links

BuddyGlass Uncensored Erotiquant3

Estaba borracho o mas bien desvelado, ya ni se... e hice esta... cosa como de 10b de parámetros que pesa como 6Gb.

Nota: Descargala antes de que me vea forzado a hacer lugar, este modelo lo voy a borrar ni bien necesite eso.

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GGUF
Model size
10B params
Architecture
llama
Hardware compatibility
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