Instructions to use AGofficial/AgGPT-11oPro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use AGofficial/AgGPT-11oPro with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="AGofficial/AgGPT-11oPro", filename="AgGPT11oPro.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use AGofficial/AgGPT-11oPro 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 AGofficial/AgGPT-11oPro # Run inference directly in the terminal: llama cli -hf AGofficial/AgGPT-11oPro
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf AGofficial/AgGPT-11oPro # Run inference directly in the terminal: llama cli -hf AGofficial/AgGPT-11oPro
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 AGofficial/AgGPT-11oPro # Run inference directly in the terminal: ./llama-cli -hf AGofficial/AgGPT-11oPro
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 AGofficial/AgGPT-11oPro # Run inference directly in the terminal: ./build/bin/llama-cli -hf AGofficial/AgGPT-11oPro
Use Docker
docker model run hf.co/AGofficial/AgGPT-11oPro
- LM Studio
- Jan
- Ollama
How to use AGofficial/AgGPT-11oPro with Ollama:
ollama run hf.co/AGofficial/AgGPT-11oPro
- Unsloth Studio
How to use AGofficial/AgGPT-11oPro 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 AGofficial/AgGPT-11oPro 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 AGofficial/AgGPT-11oPro to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for AGofficial/AgGPT-11oPro to start chatting
- Pi
How to use AGofficial/AgGPT-11oPro with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf AGofficial/AgGPT-11oPro
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": "AGofficial/AgGPT-11oPro" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use AGofficial/AgGPT-11oPro with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf AGofficial/AgGPT-11oPro
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 AGofficial/AgGPT-11oPro
Run Hermes
hermes
- Atomic Chat new
- OpenClaw new
How to use AGofficial/AgGPT-11oPro with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf AGofficial/AgGPT-11oPro
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 "AGofficial/AgGPT-11oPro" \ --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 AGofficial/AgGPT-11oPro with Docker Model Runner:
docker model run hf.co/AGofficial/AgGPT-11oPro
- Lemonade
How to use AGofficial/AgGPT-11oPro with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull AGofficial/AgGPT-11oPro
Run and chat with the model
lemonade run user.AgGPT-11oPro-{{QUANT_TAG}}List all available models
lemonade list
llm.create_chat_completion(
messages = "No input example has been defined for this model task."
)AgGPT-11o Pro
AgGPT-11o Pro is a large language model designed to reason and think for longer, resulting in more accurate and reliable outputs for problems that require complex cognition. AgGPT-11o Pro has a wide range of agentic tools and capabilities.
Examples:
{
"input": "What is the capital of France?",
"output": "The capital of France is Paris."
}
{
"input": "Explain the theory of relativity in simple terms.",
"output": "The theory of relativity, proposed by Albert Einstein, states that the laws of physics are the same for all observers, regardless of their relative motion. It also introduces the concept that space and time are interconnected, forming a four-dimensional spacetime."
}
- Downloads last month
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We're not able to determine the quantization variants.
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="AGofficial/AgGPT-11oPro", filename="AgGPT11oPro.gguf", )