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

Libraries

How to use dispatchAI/MiniCPM-V-4.6-mobile with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="dispatchAI/MiniCPM-V-4.6-mobile",
	filename="model.gguf",
)

llm.create_chat_completion(
	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"
					}
				}
			]
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

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

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 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/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 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

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 Studio

How to use dispatchAI/MiniCPM-V-4.6-mobile 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 dispatchAI/MiniCPM-V-4.6-mobile 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 dispatchAI/MiniCPM-V-4.6-mobile to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for dispatchAI/MiniCPM-V-4.6-mobile to start chatting

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

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

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 new

OpenClaw new

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"

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

3morixd commited on 9 days ago

Commit

3bdb847

verified ·

1 Parent(s): d7ac8f1

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README.md CHANGED Viewed

@@ -1,17 +1,63 @@
 ---
 license: apache-2.0
-tags: [dispatch-ai, mobile, vision, quantized, gguf, phone-farm-tested, on-device, edge-ai, multimodal]
-pipeline_tag: image-text-to-text
-language: [en]
 ---
-# MiniCPM-V 4.6 — Mobile Multimodal
-**Dispatch AI** — See + understand on-device. The most capable mobile vision model we've tested.
-| Metric | Value |
-|--------|-------|
-| Generation | 11.2 t/s |
-| Size | ~2.8 GB |
-**Dispatch AI (FZE)** — Sharjah, UAE | License 10818

 ---
 license: apache-2.0
+language:
+  - en
+library_name: transformers
+tags:
+  - mobile
+  - on-device
+  - quantized
+  - gguf
+  - dispatchai
+pipeline_tag: text-generation
 ---
+# MiniCPM-V-4.6-mobile
+⚠️ **PARTIAL** — Verified June 2026.
+## Verification Results
+| Prompt | Response | Correct? |
+|--------|----------|----------|
+| 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
+| Attribute | Value |
+|-----------|-------|
+| **Base Model** | openbmb/MiniCPM-V-4 |
+| **File Size** | 505 MB |
+| **Format** | GGUF |
+| **Chat Format** | chatml |
+| **CPU Speed** | 26.5 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)
+response = llm.create_chat_completion(
+    messages=[{"role": "user", "content": "What is the capital of France?"}],
+    max_tokens=50,
+)
+print(response["choices"][0]["message"]["content"])
+```
+### dispatchAI SDK
+```python
+from dispatchai import load_model
+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.