Instructions to use mlx-community/granite-vision-3.2-2b-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mlx-community/granite-vision-3.2-2b-4bit with MLX:

# Make sure mlx-vlm is installed
# pip install --upgrade mlx-vlm

from mlx_vlm import load, generate
from mlx_vlm.prompt_utils import apply_chat_template
from mlx_vlm.utils import load_config

# Load the model
model, processor = load("mlx-community/granite-vision-3.2-2b-4bit")
config = load_config("mlx-community/granite-vision-3.2-2b-4bit")

# Prepare input
image = ["http://images.cocodataset.org/val2017/000000039769.jpg"]
prompt = "Describe this image."

# Apply chat template
formatted_prompt = apply_chat_template(
    processor, config, prompt, num_images=1
)

# Generate output
output = generate(model, processor, formatted_prompt, image)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings
LM Studio

How to use mlx-community/granite-vision-3.2-2b-4bit with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "mlx-community/granite-vision-3.2-2b-4bit"

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "mlx-lm": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "mlx-community/granite-vision-3.2-2b-4bit"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent

How to use mlx-community/granite-vision-3.2-2b-4bit with Hermes Agent:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "mlx-community/granite-vision-3.2-2b-4bit"

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 mlx-community/granite-vision-3.2-2b-4bit

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use mlx-community/granite-vision-3.2-2b-4bit with OpenClaw:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "mlx-community/granite-vision-3.2-2b-4bit"

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 "mlx-community/granite-vision-3.2-2b-4bit" \
  --custom-provider-id mlx-lm \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

granite-vision-3.2-2b-4bit / chat_template.json

prince-canuma

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	{
	"chat_template": "{%- if tools %}\n {{- '<\|start_of_role\|>available_tools<\|end_of_role\|>\n' }}\n {%- for tool in tools %}\n {{- tool \| tojson(indent=4) }}\n {%- if not loop.last %}\n {{- '\n\n' }}\n {%- endif %}\n {%- endfor %}\n {{- '<\|end_of_text\|>\n' }}\n{%- endif %}\n{%- for message in messages if message['role'] == 'system'%}{% else %}<\|system\|>\nA chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions.\n{% endfor %}{%- for message in messages %}\n {%- if message['role'] == 'system' %}\n {{- '<\|system\|>\n' + message['content'][0]['text'] + '\n' }}\n {%- elif message['role'] == 'user' %}<\|user\|>\n {# Render all images first #}{% for content in message['content'] \| selectattr('type', 'equalto', 'image') %}{{ '<image>\n' }}{% endfor %}{# Render all text next #}{% for content in message['content'] \| selectattr('type', 'equalto', 'text') %}{{ content['text'] + '\n' }}{% endfor %}\n{%- elif message['role'] == 'assistant' %}\n {{- '<\|assistant\|>\n' + message['content'][0]['text'] + '<\|end_of_text\|>' }}\n {%- elif message['role'] == 'assistant_tool_call' %}\n {{- '<\|start_of_role\|>assistant<\|end_of_role\|><\|tool_call\|>' + message['content'][0]['text'] + '<\|end_of_text\|>\n' }}\n {%- elif message['role'] == 'tool_response' %}\n {{- '<\|start_of_role\|>tool_response<\|end_of_role\|>' + message['content'][0]['text'] + '<\|end_of_text\|>\n' }}\n {%- endif %}\n {%- if loop.last and add_generation_prompt %}\n {{- '<\|assistant\|>\n' }}\n {%- endif %}\n{%- endfor %}"
	}