Instructions to use ricoz/meam-phi-4-mini-instruct-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 ricoz/meam-phi-4-mini-instruct-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 ricoz/meam-phi-4-mini-instruct-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf ricoz/meam-phi-4-mini-instruct-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 ricoz/meam-phi-4-mini-instruct-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf ricoz/meam-phi-4-mini-instruct-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 ricoz/meam-phi-4-mini-instruct-gguf:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf ricoz/meam-phi-4-mini-instruct-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 ricoz/meam-phi-4-mini-instruct-gguf:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf ricoz/meam-phi-4-mini-instruct-gguf:Q4_K_M
Use Docker
docker model run hf.co/ricoz/meam-phi-4-mini-instruct-gguf:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use ricoz/meam-phi-4-mini-instruct-gguf with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ricoz/meam-phi-4-mini-instruct-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": "ricoz/meam-phi-4-mini-instruct-gguf", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/ricoz/meam-phi-4-mini-instruct-gguf:Q4_K_M
- Ollama
How to use ricoz/meam-phi-4-mini-instruct-gguf with Ollama:
ollama run hf.co/ricoz/meam-phi-4-mini-instruct-gguf:Q4_K_M
- Unsloth Desktop
- Pi
How to use ricoz/meam-phi-4-mini-instruct-gguf with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf ricoz/meam-phi-4-mini-instruct-gguf: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": "ricoz/meam-phi-4-mini-instruct-gguf:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use ricoz/meam-phi-4-mini-instruct-gguf with Docker Model Runner:
docker model run hf.co/ricoz/meam-phi-4-mini-instruct-gguf:Q4_K_M
- Lemonade
How to use ricoz/meam-phi-4-mini-instruct-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull ricoz/meam-phi-4-mini-instruct-gguf:Q4_K_M
Run and chat with the model
lemonade run user.meam-phi-4-mini-instruct-gguf-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use ricoz/meam-phi-4-mini-instruct-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 ricoz/meam-phi-4-mini-instruct-gguf: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 ricoz/meam-phi-4-mini-instruct-gguf:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use ricoz/meam-phi-4-mini-instruct-gguf with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf ricoz/meam-phi-4-mini-instruct-gguf: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 "ricoz/meam-phi-4-mini-instruct-gguf: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"
Phi-4-mini-instruct, Q4_K_M GGUF, for Meam.ai
This is Microsoft's Phi-4-mini-instruct, converted to GGUF and quantized to Q4_K_M with llama.cpp. Nothing else is changed: it isn't fine-tuned or merged with anything.
Meam.ai, a study tutor for Ontario students in Grades 7 to 12, downloads this file the first time it opens. The tutor runs on the device. The app keeps the file only if its SHA-256 matches the one below.
| File | phi-4-mini-instruct-q4_k_m.gguf |
| SHA-256 | 0c544c02dfde5b595de204b6e2a9d80d4e2a47fbbc53904214aa9325b3546959 |
| Size | 2,493,840,704 bytes |
| Weights | microsoft/Phi-4-mini-instruct at revision cfbefacb99257ffa30c83adab238a50856ac3083 |
| Converted with | llama.cpp at commit 171e8846b4af9766c354064cb776cb34a50f053f, the version llama.rn uses |
Rebuild it yourself
The same steps give the same file, so you can check that it was made from Microsoft's weights:
git clone https://github.com/ggml-org/llama.cpp && cd llama.cpp
git checkout 171e8846b4af9766c354064cb776cb34a50f053f
cmake -B build -DGGML_METAL=OFF -DLLAMA_CURL=OFF -DCMAKE_BUILD_TYPE=Release
cmake --build build --target llama-quantize -j 8
python3 -m venv venv
venv/bin/pip install -r requirements/requirements-convert_hf_to_gguf.txt -e gguf-py
hf download microsoft/Phi-4-mini-instruct --revision cfbefacb99257ffa30c83adab238a50856ac3083 --local-dir hf \
config.json generation_config.json model.safetensors.index.json model-00001-of-00002.safetensors \
model-00002-of-00002.safetensors tokenizer.json tokenizer_config.json special_tokens_map.json \
added_tokens.json vocab.json merges.txt README.md LICENSE
venv/bin/python convert_hf_to_gguf.py hf --outtype bf16 --outfile model-bf16.gguf
build/bin/llama-quantize model-bf16.gguf phi-4-mini-instruct-q4_k_m.gguf Q4_K_M
shasum -a 256 phi-4-mini-instruct-q4_k_m.gguf
Chat format
The file carries Phi-4-mini's own chat template:
<|system|>You are a helpful tutor.<|end|><|user|>How do I start?<|end|><|assistant|>
Generation ends at <|end|> or <|endoftext|>.
Licence
MIT, from Microsoft. LICENSE is Microsoft's licence file, copied unchanged. Phi-4-mini-instruct's own model card covers its training, intended uses and limits.
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microsoft/Phi-4-mini-instruct