Text Generation
GGUF
Spanish
English
llama-cpp
ollama
minicpm5
elffuss
coding-agent
tool-calling
q8_0
on-device
conversational
Instructions to use UtopiaIA/MiniCPM5-2B-Elffuss-Code-GGUF 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 UtopiaIA/MiniCPM5-2B-Elffuss-Code-GGUF 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 UtopiaIA/MiniCPM5-2B-Elffuss-Code-GGUF:Q8_0 # Run inference directly in the terminal: llama cli -hf UtopiaIA/MiniCPM5-2B-Elffuss-Code-GGUF:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf UtopiaIA/MiniCPM5-2B-Elffuss-Code-GGUF:Q8_0 # Run inference directly in the terminal: llama cli -hf UtopiaIA/MiniCPM5-2B-Elffuss-Code-GGUF:Q8_0
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 UtopiaIA/MiniCPM5-2B-Elffuss-Code-GGUF:Q8_0 # Run inference directly in the terminal: ./build/bin/llama cli -hf UtopiaIA/MiniCPM5-2B-Elffuss-Code-GGUF:Q8_0
Use Docker
docker model run hf.co/UtopiaIA/MiniCPM5-2B-Elffuss-Code-GGUF:Q8_0
- Llama new
- LM Studio
- Jan
- vLLM
How to use UtopiaIA/MiniCPM5-2B-Elffuss-Code-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "UtopiaIA/MiniCPM5-2B-Elffuss-Code-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": "UtopiaIA/MiniCPM5-2B-Elffuss-Code-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/UtopiaIA/MiniCPM5-2B-Elffuss-Code-GGUF:Q8_0
- Ollama
How to use UtopiaIA/MiniCPM5-2B-Elffuss-Code-GGUF with Ollama:
ollama run hf.co/UtopiaIA/MiniCPM5-2B-Elffuss-Code-GGUF:Q8_0
- Unsloth Desktop
- Pi
How to use UtopiaIA/MiniCPM5-2B-Elffuss-Code-GGUF with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf UtopiaIA/MiniCPM5-2B-Elffuss-Code-GGUF: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": "UtopiaIA/MiniCPM5-2B-Elffuss-Code-GGUF:Q8_0" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use UtopiaIA/MiniCPM5-2B-Elffuss-Code-GGUF with Docker Model Runner:
docker model run hf.co/UtopiaIA/MiniCPM5-2B-Elffuss-Code-GGUF:Q8_0
- Lemonade
How to use UtopiaIA/MiniCPM5-2B-Elffuss-Code-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull UtopiaIA/MiniCPM5-2B-Elffuss-Code-GGUF:Q8_0
Run and chat with the model
lemonade run user.MiniCPM5-2B-Elffuss-Code-GGUF-Q8_0
List all available models
lemonade list
- Hermes Agent
How to use UtopiaIA/MiniCPM5-2B-Elffuss-Code-GGUF with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf UtopiaIA/MiniCPM5-2B-Elffuss-Code-GGUF: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 UtopiaIA/MiniCPM5-2B-Elffuss-Code-GGUF:Q8_0
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use UtopiaIA/MiniCPM5-2B-Elffuss-Code-GGUF with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf UtopiaIA/MiniCPM5-2B-Elffuss-Code-GGUF: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 "UtopiaIA/MiniCPM5-2B-Elffuss-Code-GGUF: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"
v8 — 2026-10-20
Browse files- MiniCPM5-2B-Elffuss-Code-Q8_0-XL.gguf +1 -1
- README.md +2 -1
- metrics/evolution.json +16 -0
- metrics/evolution.png +0 -0
MiniCPM5-2B-Elffuss-Code-Q8_0-XL.gguf
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README.md
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</pre>
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<div style="font-size:12.5px; letter-spacing:1px; opacity:0.8; margin-top:5px;"><span style="white-space:nowrap;">2B · Q8_0-XL</span> · <span style="white-space:nowrap;">
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| v5 | 2026-10-15 | 0 % | 42 % | 88 % | 62 % | 7.27 | 0.0214 |
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| v6 | 2026-10-16 | 8 % | 33 % | 90 % | 42 % | 8.38 | 0.0224 |
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| v7 | 2026-10-17 | 4 % | 25 % | 85 % | 35 % | 8.94 | 0.0209 |
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</pre>
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<div style="font-size:23px; font-weight:800; letter-spacing:1px;">MiniCPM5-2B · Elffuss Code</div>
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<div style="font-size:12.5px; letter-spacing:1px; opacity:0.8; margin-top:5px;"><span style="white-space:nowrap;">2B · Q8_0-XL</span> · <span style="white-space:nowrap;">v8 · 2026-10-20</span> · <span style="white-space:nowrap;">bugs fixed 0 %</span></div>
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| v5 | 2026-10-15 | 0 % | 42 % | 88 % | 62 % | 7.27 | 0.0214 |
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| v6 | 2026-10-16 | 8 % | 33 % | 90 % | 42 % | 8.38 | 0.0224 |
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| v7 | 2026-10-17 | 4 % | 25 % | 85 % | 35 % | 8.94 | 0.0209 |
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| v8 | 2026-10-20 | 0 % | 25 % | 92 % | 21 % | 10.29 | 0.0214 |
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metrics/evolution.json
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"kld_mean": 0.020864,
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"top1": 93.524,
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"version": "v7"
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"kld_mean": 0.020864,
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"top1": 93.524,
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"version": "v7"
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{
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"label": "2026-10-20",
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"date": "2026-10-20",
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"tasks": 24,
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"runs": 48,
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"bugfix_solved": 0,
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"protocol_ok": 0.917,
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"finished": 0.208,
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"grounded": 0.25,
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"avg_steps": 10.29,
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"ppl": 11.174508,
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"ppl_base": 11.196381,
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"kld_mean": 0.021377,
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"top1": 93.469,
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"version": "v8"
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metrics/evolution.png
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