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

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use EntityDeletr/MiniCPM5-1B-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 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 serve -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 Desktop

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 serve -hf EntityDeletr/MiniCPM5-1B-GGUF:F32

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": "EntityDeletr/MiniCPM5-1B-GGUF:F32"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

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

Hermes Agent

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 serve -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

Atomic Chat

OpenClaw

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

Start the llama.cpp server

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

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 "EntityDeletr/MiniCPM5-1B-GGUF:F32" \
  --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"

EntityDeletr commited on May 27

Commit

b44ef21

verified ·

1 Parent(s): b448c45

Update README.md

Browse files

Files changed (1) hide show

README.md +22 -0

README.md CHANGED Viewed

@@ -1,3 +1,25 @@
 ---
 license: apache-2.0
 ---

 ---
 license: apache-2.0
+base_model:
+- openbmb/MiniCPM5-1B
 ---
+This is a quantized version of MiniCPM5-1B using [mradermacher's imatrix](https://huggingface.co/mradermacher/MiniCPM5-1B-SFT-i1-GGUF/blob/main/MiniCPM5-1B-SFT.imatrix.gguf).
+Commands used (llama.cpp commit [9777256](https://github.com/ggml-org/llama.cpp/commit/9777256c3130fa3201327bfab44bae187f7caea2)):
+```
+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](https://huggingface.co/openbmb/MiniCPM5-1B-GGUF) 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.