Instructions to use axion-dynamix/AxionDynamix-Marvel-Pro-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 axion-dynamix/AxionDynamix-Marvel-Pro-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 axion-dynamix/AxionDynamix-Marvel-Pro-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf axion-dynamix/AxionDynamix-Marvel-Pro-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf axion-dynamix/AxionDynamix-Marvel-Pro-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf axion-dynamix/AxionDynamix-Marvel-Pro-GGUF:Q4_K_M

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 axion-dynamix/AxionDynamix-Marvel-Pro-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf axion-dynamix/AxionDynamix-Marvel-Pro-GGUF:Q4_K_M

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 axion-dynamix/AxionDynamix-Marvel-Pro-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf axion-dynamix/AxionDynamix-Marvel-Pro-GGUF:Q4_K_M

Use Docker

docker model run hf.co/axion-dynamix/AxionDynamix-Marvel-Pro-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use axion-dynamix/AxionDynamix-Marvel-Pro-GGUF with Ollama:
```
ollama run hf.co/axion-dynamix/AxionDynamix-Marvel-Pro-GGUF:Q4_K_M
```
Unsloth Desktop

How to use axion-dynamix/AxionDynamix-Marvel-Pro-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf axion-dynamix/AxionDynamix-Marvel-Pro-GGUF: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": "axion-dynamix/AxionDynamix-Marvel-Pro-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use axion-dynamix/AxionDynamix-Marvel-Pro-GGUF with Docker Model Runner:
```
docker model run hf.co/axion-dynamix/AxionDynamix-Marvel-Pro-GGUF:Q4_K_M
```

Lemonade

How to use axion-dynamix/AxionDynamix-Marvel-Pro-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull axion-dynamix/AxionDynamix-Marvel-Pro-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.AxionDynamix-Marvel-Pro-GGUF-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use axion-dynamix/AxionDynamix-Marvel-Pro-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 axion-dynamix/AxionDynamix-Marvel-Pro-GGUF: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 axion-dynamix/AxionDynamix-Marvel-Pro-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use axion-dynamix/AxionDynamix-Marvel-Pro-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf axion-dynamix/AxionDynamix-Marvel-Pro-GGUF: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 "axion-dynamix/AxionDynamix-Marvel-Pro-GGUF: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"

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Check out the documentation for more information.

AxionDynamix-Marvel-Pro

AxionDynamix-Marvel-Pro, developed by Axion Dynamix.

A novel new model for edge multi tasking and agentic use. The model is trained on code as well as various use cases. It in initial testing has proven itself vastly more capable than most similar sized models and larger models in various fields.

Independent and measured testing has not been done to fully evaluate or score the model. Developer claims may need verification. Model is trained on H200 GPU using alternative sources and datasets purely focused on automation capabilities and coding languages, development and cli as well as IDE task based development assignments data to ensure excellent targeted highly tuned and capable cohesion coherence and to be reliable and dependable.

Model is offered free of charge by Axion Dynamix for educational research and development as well as academic and scientific use case scenarios. Model has also been approved for business enterprise and government use case scenarios.

Developer encourages testing prior to main deployment for official use. No limitations imposed.

Downloads last month: 106

GGUF

Model size

7B params

Architecture

llama

Hardware compatibility

4-bit

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