Instructions to use koshuro/MiniCPM5-1B-heretic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use koshuro/MiniCPM5-1B-heretic 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 koshuro/MiniCPM5-1B-heretic:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf koshuro/MiniCPM5-1B-heretic:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf koshuro/MiniCPM5-1B-heretic:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf koshuro/MiniCPM5-1B-heretic: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 koshuro/MiniCPM5-1B-heretic:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf koshuro/MiniCPM5-1B-heretic: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 koshuro/MiniCPM5-1B-heretic:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf koshuro/MiniCPM5-1B-heretic:Q4_K_M

Use Docker

docker model run hf.co/koshuro/MiniCPM5-1B-heretic:Q4_K_M

LM Studio
Jan

vLLM

How to use koshuro/MiniCPM5-1B-heretic with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "koshuro/MiniCPM5-1B-heretic"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "koshuro/MiniCPM5-1B-heretic",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/koshuro/MiniCPM5-1B-heretic:Q4_K_M

Ollama
How to use koshuro/MiniCPM5-1B-heretic with Ollama:
```
ollama run hf.co/koshuro/MiniCPM5-1B-heretic:Q4_K_M
```
Unsloth Desktop

How to use koshuro/MiniCPM5-1B-heretic with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf koshuro/MiniCPM5-1B-heretic:Q4_K_M

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": "koshuro/MiniCPM5-1B-heretic:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use koshuro/MiniCPM5-1B-heretic with Docker Model Runner:
```
docker model run hf.co/koshuro/MiniCPM5-1B-heretic:Q4_K_M
```

Lemonade

How to use koshuro/MiniCPM5-1B-heretic with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull koshuro/MiniCPM5-1B-heretic:Q4_K_M

Run and chat with the model

lemonade run user.MiniCPM5-1B-heretic-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use koshuro/MiniCPM5-1B-heretic with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf koshuro/MiniCPM5-1B-heretic:Q4_K_M

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 koshuro/MiniCPM5-1B-heretic:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use koshuro/MiniCPM5-1B-heretic with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf koshuro/MiniCPM5-1B-heretic:Q4_K_M

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 "koshuro/MiniCPM5-1B-heretic:Q4_K_M" \
  --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"

koshuro commited on Aug 15

Commit

acc759f

verified ·

1 Parent(s): 7e16b82

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+absl-py==2.5.0
+accelerate==1.14.0
+alembic==1.19.1
+annotated-doc==0.0.5
+annotated-types==0.8.0
+anyio==4.14.2
+bitsandbytes==0.50.1
+certifi==2026.7.22
+chardet==6.0.0.post1
+charset-normalizer==3.5.0
+click==8.4.2
+colorama==0.4.6
+colorlog==6.12.0
+dataproperty==1.1.1
+datasets==4.8.5
+defusedxml==0.7.1
+dill==0.4.1
+evaluate==0.4.6
+filelock==3.32.3
+fsspec==2026.2.0
+greenlet==3.5.5
+h11==0.16.0
+heretic-llm==1.4.0
+hf-xet==1.6.0
+httpcore==1.0.9
+httpx==0.28.1
+huggingface-hub==1.27.0
+idna==3.18
+immutabledict==4.3.1
+jinja2==3.1.6
+joblib==1.5.3
+langdetect==1.0.9
+lm-eval==0.4.12
+lxml==6.1.1
+mako==1.4.1
+markdown-it-py==4.2.0
+markupsafe==3.0.3
+mbstrdecoder==1.1.5
+mdurl==0.1.2
+more-itertools==11.1.0
+mpmath==1.3.0
+multiprocess==0.70.19
+narwhals==2.24.0
+networkx==3.6.1
+nltk==3.10.3
+numpy==2.4.6
+optuna==4.9.0
+packaging==26.3
+pandas==3.0.5
+pathvalidate==3.3.1
+peft==0.20.0
+pillow==12.3.0
+portalocker==4.1.0
+prompt-toolkit==3.0.53
+psutil==7.2.2
+py-cpuinfo==9.0.0
+pyarrow==25.0.1
+pydantic==2.13.4
+pydantic-core==2.46.4
+pydantic-settings==2.15.0
+pygments==2.20.0
+pytablewriter==1.2.1
+python-dateutil==2.9.0.post0
+python-dotenv==1.2.2
+pyyaml==6.0.3
+questionary==2.1.1
+regex==2026.7.19
+requests==2.34.2
+rich==14.3.4
+rouge-score==0.1.2
+sacrebleu==2.6.0
+safetensors==0.8.0
+scikit-learn==1.9.0
+scipy==1.17.1
+setuptools==65.5.0
+shellingham==1.5.4
+six==1.17.0
+sqlalchemy==2.0.52
+sqlitedict==2.1.0
+sympy==1.14.0
+tabledata==1.3.5
+tabulate==0.10.0
+tcolorpy==0.1.7
+threadpoolctl==3.6.0
+tokenizers==0.22.2
+tomli-w==1.2.0
+torch==2.11.0
+torchaudio==2.11.0
+torchvision==0.26.0
+tqdm==4.70.0
+transformers==5.15.0
+typepy==1.3.5
+typer==0.27.1
+typing-extensions==4.16.0
+typing-inspection==0.4.4
+tzdata==2026.3
+urllib3==2.7.0
+wcwidth==0.8.2
+word2number==1.1
+xxhash==4.0.0