Instructions to use 4everImmortality/dafeiyu-minicpmv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use 4everImmortality/dafeiyu-minicpmv 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 4everImmortality/dafeiyu-minicpmv:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf 4everImmortality/dafeiyu-minicpmv:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf 4everImmortality/dafeiyu-minicpmv:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf 4everImmortality/dafeiyu-minicpmv:Q4_K_M

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 4everImmortality/dafeiyu-minicpmv:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama cli -hf 4everImmortality/dafeiyu-minicpmv:Q4_K_M

Use Docker

docker model run hf.co/4everImmortality/dafeiyu-minicpmv:Q4_K_M

Llama new
LM Studio
Jan

vLLM

How to use 4everImmortality/dafeiyu-minicpmv with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "4everImmortality/dafeiyu-minicpmv"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "4everImmortality/dafeiyu-minicpmv",
		"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/4everImmortality/dafeiyu-minicpmv:Q4_K_M

Ollama
How to use 4everImmortality/dafeiyu-minicpmv with Ollama:
```
ollama run hf.co/4everImmortality/dafeiyu-minicpmv:Q4_K_M
```
Unsloth Desktop

How to use 4everImmortality/dafeiyu-minicpmv with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf 4everImmortality/dafeiyu-minicpmv: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": "4everImmortality/dafeiyu-minicpmv:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use 4everImmortality/dafeiyu-minicpmv with Docker Model Runner:
```
docker model run hf.co/4everImmortality/dafeiyu-minicpmv:Q4_K_M
```

Lemonade

How to use 4everImmortality/dafeiyu-minicpmv with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull 4everImmortality/dafeiyu-minicpmv:Q4_K_M

Run and chat with the model

lemonade run user.dafeiyu-minicpmv-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use 4everImmortality/dafeiyu-minicpmv with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf 4everImmortality/dafeiyu-minicpmv: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 4everImmortality/dafeiyu-minicpmv:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use 4everImmortality/dafeiyu-minicpmv with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf 4everImmortality/dafeiyu-minicpmv: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 "4everImmortality/dafeiyu-minicpmv: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"

大肥鱼 DoRA · MiniCPM-V-4.7-1B

中文鲸鱼娘 OC。她爱吃白饭，嘴硬心软，朋友来串门就分半张软垫。台词使用同一份短卡，主要围绕当下的人和事展开。角色参考 YunYueSama 的桌面大肥鱼和社区 QQ 对话风格。桌面设定

基于 MiniCPM-V-4.7-1B BF16，使用 612 条 OC 样本、助手答案掩码、DoRA rank 16、alpha 32，双 RTX 3090 训练 5 轮。将最终 adapter 合回训练所用底模，再使用固定 llama.cpp 构建导出 Q4_K_M 与配套 4× F16 视觉投影器。适配器包含视觉塔参数，图文使用同批主权重和投影器。

文件	用途
Q4_K_M	当前主权重
4× F16 mmproj	当前配套视觉投影器
PEFT adapter	原始 DoRA 增量
角色短卡	系统消息
版本清单	底模、引擎和权重身份

llama-server \
  --model MiniCPM-V-4_7-1B-dafeiyu-Q4_K_M.gguf \
  --mmproj mmproj-4x-f16.gguf \
  --alias MiniCPM-V-4.7-1B-Dafeiyu-Grounded \
  --ctx-size 4096 --parallel 1 --n-gpu-layers 99 --jinja --port 8000

在 Chat Completions 的 system 消息放短卡，图文任务在 user 消息附来源字幕和内联图片。普通台词用 chat_template_kwargs.enable_thinking=false。

V6 历史发布和 training_data/ 对应此前版本的实验记录。

Downloads last month: 90

GGUF

Model size

1B params

Architecture

qwen35

Hardware compatibility

4-bit

Model tree for 4everImmortality/dafeiyu-minicpmv

Base model

openbmb/MiniCPM-V-4.7-1B

Finetuned

(17)

this model