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Llama 3.2 11B Vision

📖 Introduction

The Llama 3.2-Vision collection of multimodal large language models (LLMs) is a collection of pretrained and instruction-tuned image reasoning generative models in 11B and 90B sizes (text + images in / text out).

Task Type Description
Chat A task to generate conversational style text output base on single or multi-modality input.

🔄 Compatibility Matrix

To ensure smooth integration, please refer to the compatibility matrix below. It outlines the compatible versions of the model, instill-core, and the python-sdk.

Model Version Instill-Core Version Python-SDK Version
v0.1.0 >v0.46.0-beta >0.16.0

Note: Always ensure that you are using compatible versions to avoid unexpected issues.

🚀 Preparation

Follow this guide to get your custom model up and running! But before you do that, please read through the following sections to have all the necessary files ready.

Install Python SDK

Install the compatible python-sdk version according to the compatibility matrix:

pip install instill-sdk=={version}

Get model weights

To download the fine-tuned model weights, please execute the following command:

git clone git@hf.co:meta-llama/Llama-3.2-11B-Vision-Instruct

Test model image

After you've built the model image, and before pushing the model onto any Instill Core instance, you can test if the model can be successfully run locally first, by running the following command:

instill run admin/llama-3-2-11b-vision-instruct -g -i '{"prompt": "whats in the pic?", "image-url": "https://artifacts.instill.tech/imgs/bear.jpg"}'

The input payload should strictly follow the the below format

{
  "prompt": "..."
}

A successful response will return a similar output to that shown below.

2024-12-02 05:56:42,585.585 INFO     [Instill] Starting model image...
2024-12-02 05:56:58,202.202 INFO     [Instill] Deploying model...
2024-12-02 05:57:25,122.122 INFO     [Instill] Running inference...
2024-12-01 05:57:32,328.328 INFO     [Instill] Outputs:
[{'data': {'choices': [{'created': 1733090252,
                        'finish-reason': 'length',
                        'index': 0,
                        'message': {'content': 'The image depicts a brown bear '
                                               'sitting upright on its hind '
                                               'legs, with its front paws '
                                               'raised in the air. The bear is '
                                               'positioned centrally in the '
                                               'frame, facing the camera '
                                               'directly. Its fur appears to '
                                               'be a light brown color, and it '
                                               'has',
                                    'role': 'assistant'}}]}}]
2024-12-02 05:57:36,100.100 INFO     [Instill] Done

Here is the list of flags supported by instill run command

  • -t, --tag: tag for the model image, default to latest
  • -g, --gpu: to pass through GPU from host into container or not, depends on if gpu is enabled in the config.
  • -i, --input: input in json format

Happy Modeling! 💡