Instructions to use manateelazycat/MiniCPM5-2B-AIPod with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use manateelazycat/MiniCPM5-2B-AIPod with 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 manateelazycat/MiniCPM5-2B-AIPod:Q8_0 # Run inference directly in the terminal: llama cli -hf manateelazycat/MiniCPM5-2B-AIPod:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf manateelazycat/MiniCPM5-2B-AIPod:Q8_0 # Run inference directly in the terminal: llama cli -hf manateelazycat/MiniCPM5-2B-AIPod:Q8_0
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 manateelazycat/MiniCPM5-2B-AIPod:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf manateelazycat/MiniCPM5-2B-AIPod:Q8_0
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 manateelazycat/MiniCPM5-2B-AIPod:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf manateelazycat/MiniCPM5-2B-AIPod:Q8_0
Use Docker
docker model run hf.co/manateelazycat/MiniCPM5-2B-AIPod:Q8_0
- LM Studio
- Jan
- Ollama
How to use manateelazycat/MiniCPM5-2B-AIPod with Ollama:
ollama run hf.co/manateelazycat/MiniCPM5-2B-AIPod:Q8_0
- Unsloth Desktop
- Pi
How to use manateelazycat/MiniCPM5-2B-AIPod with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf manateelazycat/MiniCPM5-2B-AIPod:Q8_0
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "manateelazycat/MiniCPM5-2B-AIPod:Q8_0" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use manateelazycat/MiniCPM5-2B-AIPod with Docker Model Runner:
docker model run hf.co/manateelazycat/MiniCPM5-2B-AIPod:Q8_0
- Lemonade
How to use manateelazycat/MiniCPM5-2B-AIPod with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull manateelazycat/MiniCPM5-2B-AIPod:Q8_0
Run and chat with the model
lemonade run user.MiniCPM5-2B-AIPod-Q8_0
List all available models
lemonade list
- Hermes Agent
How to use manateelazycat/MiniCPM5-2B-AIPod with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf manateelazycat/MiniCPM5-2B-AIPod:Q8_0
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default manateelazycat/MiniCPM5-2B-AIPod:Q8_0
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use manateelazycat/MiniCPM5-2B-AIPod with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf manateelazycat/MiniCPM5-2B-AIPod:Q8_0
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "manateelazycat/MiniCPM5-2B-AIPod:Q8_0" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
MiniCPM5-2B for AI Pod
Official MiniCPM5-2B Q8_0 weights (Apache-2.0), accepted AGX Thor / T5000 and AGX Orin Docker-save runtime archives, complete control-plane delivery, and a minimal model LPK. Each third-party component retains its included license. Original model: https://huggingface.co/openbmb/MiniCPM5-2B-GGUF Do not install a runtime archive as model weights. The LPK selects one platform for both weights and the hardware-specific runtime; all downloads are pinned by commit, size and SHA256. Inference runs offline with a read-only model mount. This repository is mirrored byte-for-byte on Hugging Face and ModelScope.
Install and inspect this release
- MiniCPM5-2B 0.1.3 LPK: 58,368 bytes.
- Release and acceptance report.
- Locked artifact identities.
- Complete source, licenses and performance evidence.
- Complete control-plane installation package.
- Complete control-plane Docker-save image.
Install the LPK in LazyCat and select AGX Thor / T5000 or AGX Orin in AI Pod. The bootstrap verifies its external control plane before starting; Host verifies weights and the matching runtime from the selected provider. Model-specific runtime content is hosted entirely on Hugging Face and ModelScope.
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