Instructions to use DeepBeepMeep/3D with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use DeepBeepMeep/3D with Diffusion Single File:

# No code snippets available yet for this library.

# To use this model, check the repository files and the library's documentation.

# Want to help? PRs adding snippets are welcome at:
# https://github.com/huggingface/huggingface.js

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use DeepBeepMeep/3D 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 DeepBeepMeep/3D:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf DeepBeepMeep/3D:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf DeepBeepMeep/3D:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf DeepBeepMeep/3D: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 DeepBeepMeep/3D:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama cli -hf DeepBeepMeep/3D:Q4_K_M

Use Docker

docker model run hf.co/DeepBeepMeep/3D:Q4_K_M

Llama new
LM Studio
Jan
Ollama
How to use DeepBeepMeep/3D with Ollama:
```
ollama run hf.co/DeepBeepMeep/3D:Q4_K_M
```
Unsloth Desktop

How to use DeepBeepMeep/3D with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf DeepBeepMeep/3D: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": "DeepBeepMeep/3D:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use DeepBeepMeep/3D with Docker Model Runner:
```
docker model run hf.co/DeepBeepMeep/3D:Q4_K_M
```

Lemonade

How to use DeepBeepMeep/3D with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull DeepBeepMeep/3D:Q4_K_M

Run and chat with the model

lemonade run user.3D-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use DeepBeepMeep/3D with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf DeepBeepMeep/3D: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 DeepBeepMeep/3D:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use DeepBeepMeep/3D with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf DeepBeepMeep/3D: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 "DeepBeepMeep/3D: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"

You will find here all the 3D models used with WanGP (https://github.com/deepbeepmeep/Wan2GP) :

WanGP by DeepBeepMeep : The best Open Source Video Generative Models Accessible to the GPU Poor

WanGP supports the Wan (and derived models), Minimax H3, Hunyuan Video, Flux 1,2 & 3, Qwen, Z-Image and LTX-2, LTX Video models with:

Low VRAM requirements (as low as 6 GB of VRAM is sufficient for certain models) Support for old GPUs (RTX 10XX, 20xx, ...) Very Fast on the latest GPUs Easy to use Full Web based interface Auto download of the required model adapted to your specific architecture Tools integrated to facilitate Video Generation : Mask Editor, Prompt Enhancer, Temporal and Spatial Generation Loras Support to customize each model Queuing system : make your shopping list of videos to generate and come back later Discord Server to get Help from Other Users and show your Best Videos: https://discord.gg/g7efUW9jGV

Follow DeepBeepMeep on Twitter/X to get the Latest News: https://x.com/deepbeepmeep

Downloads last month: 177

GGUF

Model size

4B params

Architecture

qwen35

Hardware compatibility

4-bit

8-bit

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