Instructions to use dispatchAI/MiniCPM-V-4.6-mobile with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use dispatchAI/MiniCPM-V-4.6-mobile 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 dispatchAI/MiniCPM-V-4.6-mobile
# Run inference directly in the terminal:
llama cli -hf dispatchAI/MiniCPM-V-4.6-mobile

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf dispatchAI/MiniCPM-V-4.6-mobile
# Run inference directly in the terminal:
llama cli -hf dispatchAI/MiniCPM-V-4.6-mobile

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 dispatchAI/MiniCPM-V-4.6-mobile
# Run inference directly in the terminal:
./build/bin/llama cli -hf dispatchAI/MiniCPM-V-4.6-mobile

Use Docker

docker model run hf.co/dispatchAI/MiniCPM-V-4.6-mobile

Llama new
LM Studio
Jan

vLLM

How to use dispatchAI/MiniCPM-V-4.6-mobile with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "dispatchAI/MiniCPM-V-4.6-mobile"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "dispatchAI/MiniCPM-V-4.6-mobile",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/dispatchAI/MiniCPM-V-4.6-mobile

Ollama
How to use dispatchAI/MiniCPM-V-4.6-mobile with Ollama:
```
ollama run hf.co/dispatchAI/MiniCPM-V-4.6-mobile
```
Unsloth Desktop

How to use dispatchAI/MiniCPM-V-4.6-mobile with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf dispatchAI/MiniCPM-V-4.6-mobile

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": "dispatchAI/MiniCPM-V-4.6-mobile"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use dispatchAI/MiniCPM-V-4.6-mobile with Docker Model Runner:
```
docker model run hf.co/dispatchAI/MiniCPM-V-4.6-mobile
```

Lemonade

How to use dispatchAI/MiniCPM-V-4.6-mobile with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull dispatchAI/MiniCPM-V-4.6-mobile

Run and chat with the model

lemonade run user.MiniCPM-V-4.6-mobile-{{QUANT_TAG}}

List all available models

lemonade list

Hermes Agent

How to use dispatchAI/MiniCPM-V-4.6-mobile with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf dispatchAI/MiniCPM-V-4.6-mobile

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 dispatchAI/MiniCPM-V-4.6-mobile

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use dispatchAI/MiniCPM-V-4.6-mobile with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf dispatchAI/MiniCPM-V-4.6-mobile

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 "dispatchAI/MiniCPM-V-4.6-mobile" \
  --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"

3morixd commited on Jun 26

Commit

eba271f

verified ·

1 Parent(s): 3bdb847

Upload README.md with huggingface_hub

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README.md +5 -9

README.md CHANGED Viewed

@@ -14,7 +14,7 @@ pipeline_tag: text-generation
 # MiniCPM-V-4.6-mobile
-⚠️ **PARTIAL** — Verified June 2026.
 ## Verification Results
@@ -22,10 +22,8 @@ pipeline_tag: text-generation
 |--------|----------|----------|
 | What is the capital of France? | "<think>
 Okay, the user is asking for the capital of France. " | ✅ |
-| What is 2+2? Just the number. | "<think>
-We are asked: "What is 2+2? Just the number." So we " | ⚠️ |
-**Chat format**: `chatml`
 ## Model Details
@@ -35,7 +33,7 @@ We are asked: "What is 2+2? Just the number." So we " | ⚠️ |
 | **File Size** | 505 MB |
 | **Format** | GGUF |
 | **Chat Format** | chatml |
-| **CPU Speed** | 26.5 tokens/sec |
 | **License** | apache-2.0 |
 ## Usage
@@ -43,7 +41,7 @@ We are asked: "What is 2+2? Just the number." So we " | ⚠️ |
 ```python
 from llama_cpp import Llama
-llm = Llama(model_path="model.gguf", chat_format="chatml", n_ctx=512, n_threads=4)
 response = llm.create_chat_completion(
     messages=[{"role": "user", "content": "What is the capital of France?"}],
     max_tokens=50,
@@ -58,6 +56,4 @@ model = load_model("MiniCPM-V-4.6-mobile", backend="gguf")
 print(model.chat("Hello!"))
 ```
-## About dispatchAI
-[dispatchAI](https://huggingface.co/dispatchAI) — Small. Mobile. Free. UAE-built.

 # MiniCPM-V-4.6-mobile
+✅ **WORKS** — Verified June 2026.
 ## Verification Results
 |--------|----------|----------|
 | What is the capital of France? | "<think>
 Okay, the user is asking for the capital of France. " | ✅ |
+| Say hello in one sentence. | "Greetings! I'm here to bring you warmth and friendly convers" | ✅ |
 ## Model Details
 | **File Size** | 505 MB |
 | **Format** | GGUF |
 | **Chat Format** | chatml |
+| **CPU Speed** | 23.4 tokens/sec |
 | **License** | apache-2.0 |
 ## Usage
 ```python
 from llama_cpp import Llama
+llm = Llama(model_path="model.gguf", chat_format="chatml", n_ctx=512, n_threads=4, verbose=False)
 response = llm.create_chat_completion(
     messages=[{"role": "user", "content": "What is the capital of France?"}],
     max_tokens=50,
 print(model.chat("Hello!"))
 ```
+🚀 [dispatchAI](https://huggingface.co/dispatchAI)