Instructions to use InternScience/Agents-A1-Q8_0-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 InternScience/Agents-A1-Q8_0-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 InternScience/Agents-A1-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
llama cli -hf InternScience/Agents-A1-Q8_0-GGUF:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf InternScience/Agents-A1-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
llama cli -hf InternScience/Agents-A1-Q8_0-GGUF:Q8_0

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 InternScience/Agents-A1-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf InternScience/Agents-A1-Q8_0-GGUF:Q8_0

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 InternScience/Agents-A1-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf InternScience/Agents-A1-Q8_0-GGUF:Q8_0

Use Docker

docker model run hf.co/InternScience/Agents-A1-Q8_0-GGUF:Q8_0

LM Studio
Jan

vLLM

How to use InternScience/Agents-A1-Q8_0-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "InternScience/Agents-A1-Q8_0-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "InternScience/Agents-A1-Q8_0-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/InternScience/Agents-A1-Q8_0-GGUF:Q8_0

Ollama
How to use InternScience/Agents-A1-Q8_0-GGUF with Ollama:
```
ollama run hf.co/InternScience/Agents-A1-Q8_0-GGUF:Q8_0
```
Unsloth Desktop

How to use InternScience/Agents-A1-Q8_0-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf InternScience/Agents-A1-Q8_0-GGUF:Q8_0

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": "InternScience/Agents-A1-Q8_0-GGUF:Q8_0"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use InternScience/Agents-A1-Q8_0-GGUF with Docker Model Runner:
```
docker model run hf.co/InternScience/Agents-A1-Q8_0-GGUF:Q8_0
```

Lemonade

How to use InternScience/Agents-A1-Q8_0-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull InternScience/Agents-A1-Q8_0-GGUF:Q8_0

Run and chat with the model

lemonade run user.Agents-A1-Q8_0-GGUF-Q8_0

List all available models

lemonade list

Hermes Agent

How to use InternScience/Agents-A1-Q8_0-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 InternScience/Agents-A1-Q8_0-GGUF:Q8_0

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 InternScience/Agents-A1-Q8_0-GGUF:Q8_0

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use InternScience/Agents-A1-Q8_0-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf InternScience/Agents-A1-Q8_0-GGUF:Q8_0

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 "InternScience/Agents-A1-Q8_0-GGUF:Q8_0" \
  --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"

No vision support where is mmproj file?

by akierum - opened Jul 4

Discussion

akierum

Jul 4

No vision support where is mmproj file?

Lonepic

Intern Science org Jul 4

No vision support where is mmproj file?

Uploaded, have a try~

akierum

Jul 4

Thank you, testing now.

akierum

Jul 4

You mmproj file should be named mmproj-F32.gguf else it is shown as separate file in LMstudio and model still has no vision support enabled.

Lonepic

Intern Science org Jul 4

•

edited Jul 4

You mmproj file should be named mmproj-F32.gguf else it is shown as separate file in LMstudio and model still has no vision support enabled.

Hi Akierum,

We use F16 precision to export the vision tower. You can use llama.cpp to load both the model and the vision projector.

If you would like to run Agents-A1 on Mac, you can use the MLX version for a better experience. Here is the link: https://huggingface.co/collections/mlx-community/agents-a1

Lonepic changed discussion status to closed Jul 4

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