GGUF
llama
llama.cpp
llama-cpp
unsloth
conversational
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 bunnycore/MiniCPM5-2B-Claude-Distill:Q6_K
# Run inference directly in the terminal:
llama cli -hf bunnycore/MiniCPM5-2B-Claude-Distill:Q6_K
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf bunnycore/MiniCPM5-2B-Claude-Distill:Q6_K
# Run inference directly in the terminal:
llama cli -hf bunnycore/MiniCPM5-2B-Claude-Distill:Q6_K
Build from source code
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 bunnycore/MiniCPM5-2B-Claude-Distill:Q6_K
# Run inference directly in the terminal:
./build/bin/llama cli -hf bunnycore/MiniCPM5-2B-Claude-Distill:Q6_K
Use Docker
docker model run hf.co/bunnycore/MiniCPM5-2B-Claude-Distill:Q6_K
Quick Links

MiniCPM5-2B-Claude-Distill : GGUF

This model was converted to GGUF format using Unsloth.

Example usage:

  • For text only LLMs: llama-cli -hf bunnycore/MiniCPM5-2B-Claude-Distill --jinja
  • For multimodal models: llama-mtmd-cli -hf bunnycore/MiniCPM5-2B-Claude-Distill --jinja

Available model files:

  • MiniCPM5-2B.Q6_K.gguf
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GGUF
Model size
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Architecture
llama
Hardware compatibility
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Dataset used to train bunnycore/MiniCPM5-2B-Claude-Distill