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

Libraries

How to use EntityDeletr/MiniCPM5-1B-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="EntityDeletr/MiniCPM5-1B-GGUF",
	filename="MiniCPM5-1B-F32.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use EntityDeletr/MiniCPM5-1B-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf EntityDeletr/MiniCPM5-1B-GGUF:F32
# Run inference directly in the terminal:
llama-cli -hf EntityDeletr/MiniCPM5-1B-GGUF:F32

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf EntityDeletr/MiniCPM5-1B-GGUF:F32
# Run inference directly in the terminal:
llama-cli -hf EntityDeletr/MiniCPM5-1B-GGUF:F32

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 EntityDeletr/MiniCPM5-1B-GGUF:F32
# Run inference directly in the terminal:
./llama-cli -hf EntityDeletr/MiniCPM5-1B-GGUF:F32

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 EntityDeletr/MiniCPM5-1B-GGUF:F32
# Run inference directly in the terminal:
./build/bin/llama-cli -hf EntityDeletr/MiniCPM5-1B-GGUF:F32

Use Docker

docker model run hf.co/EntityDeletr/MiniCPM5-1B-GGUF:F32

LM Studio
Jan
Ollama
How to use EntityDeletr/MiniCPM5-1B-GGUF with Ollama:
```
ollama run hf.co/EntityDeletr/MiniCPM5-1B-GGUF:F32
```

Unsloth Studio

How to use EntityDeletr/MiniCPM5-1B-GGUF with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for EntityDeletr/MiniCPM5-1B-GGUF to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for EntityDeletr/MiniCPM5-1B-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for EntityDeletr/MiniCPM5-1B-GGUF to start chatting

How to use EntityDeletr/MiniCPM5-1B-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf EntityDeletr/MiniCPM5-1B-GGUF:F32

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "EntityDeletr/MiniCPM5-1B-GGUF:F32"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use EntityDeletr/MiniCPM5-1B-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf EntityDeletr/MiniCPM5-1B-GGUF:F32

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 EntityDeletr/MiniCPM5-1B-GGUF:F32

Run Hermes

hermes

Docker Model Runner
How to use EntityDeletr/MiniCPM5-1B-GGUF with Docker Model Runner:
```
docker model run hf.co/EntityDeletr/MiniCPM5-1B-GGUF:F32
```

Lemonade

How to use EntityDeletr/MiniCPM5-1B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull EntityDeletr/MiniCPM5-1B-GGUF:F32

Run and chat with the model

lemonade run user.MiniCPM5-1B-GGUF-F32

List all available models

lemonade list

This is a quantized version of MiniCPM5-1B using mradermacher's imatrix.

Commands used (llama.cpp commit 9777256):

pip3.13 install -r requirements.txt
python3.13 convert_hf_to_gguf.py --outfile ./MiniCPM_GGUF.gguf --outtype f32 .;
llama-quantize --imatrix MiniCPM5-1B-SFT.imatrix.gguf MiniCPM_GGUF.gguf MiniCPM5-1B-Q5_K_M.gguf Q5_K_M;

These files were obtained from llama.cpp:

requirements.txt
convert_hf_to_gguf.py

The initial safetensor was from the MiniCPM5 repository along with other necessary files like the config.json.

To do this conversion yourself, download everything in the repository except the files labeled MiniCPM5-1B-Q5_K_M.gguf and MiniCPM5-1B-F32.gguf.

Then run the commands above after building llama.cpp, changing the paths as necessary.

Downloads last month: 955

Safetensors

Model size

1B params

Tensor type

BF16

Inference Providers NEW

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Model tree for EntityDeletr/MiniCPM5-1B-GGUF

Base model

openbmb/MiniCPM5-1B

Quantized

(29)

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