justmalhar/meta-llama-3.2-11b-vision – Run with an API on Replicate

justmalhar / meta-llama-3.2-11b-vision

This is a test version, more updates coming

Cold

Public
222 runs
L40S

Run with an API

Playground API Examples README Versions

Input

Run this model in Node.js with one line of code:

npx create-replicate --model=justmalhar/meta-llama-3.2-11b-vision

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run justmalhar/meta-llama-3.2-11b-vision using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "justmalhar/meta-llama-3.2-11b-vision:d48ad671cbc5f6e0c848f455ac2ca7280953fe1cf4039a010968f1cb19b0936f",
  {
    input: {
      image: "https://replicate.delivery/pbxt/LjoVjObT8FOT8vQFsPfOoxr17sRMDQMihn2C4bzMec3BkDHo/IMG_3310.jpeg",
      top_p: 0.95,
      prompt: "Where was this photo taken from?",
      temperature: 0.3
    }
  }
);
console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run justmalhar/meta-llama-3.2-11b-vision using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "justmalhar/meta-llama-3.2-11b-vision:d48ad671cbc5f6e0c848f455ac2ca7280953fe1cf4039a010968f1cb19b0936f",
    input={
        "image": "https://replicate.delivery/pbxt/LjoVjObT8FOT8vQFsPfOoxr17sRMDQMihn2C4bzMec3BkDHo/IMG_3310.jpeg",
        "top_p": 0.95,
        "prompt": "Where was this photo taken from?",
        "temperature": 0.3
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run justmalhar/meta-llama-3.2-11b-vision using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "d48ad671cbc5f6e0c848f455ac2ca7280953fe1cf4039a010968f1cb19b0936f",
    "input": {
      "image": "https://replicate.delivery/pbxt/LjoVjObT8FOT8vQFsPfOoxr17sRMDQMihn2C4bzMec3BkDHo/IMG_3310.jpeg",
      "top_p": 0.95,
      "prompt": "Where was this photo taken from?",
      "temperature": 0.3
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/justmalhar/meta-llama-3.2-11b-vision-test@sha256:d48ad671cbc5f6e0c848f455ac2ca7280953fe1cf4039a010968f1cb19b0936f \
  -i 'image="https://replicate.delivery/pbxt/LjoVjObT8FOT8vQFsPfOoxr17sRMDQMihn2C4bzMec3BkDHo/IMG_3310.jpeg"' \
  -i 'top_p=0.95' \
  -i 'prompt="Where was this photo taken from?"' \
  -i 'temperature=0.3'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/justmalhar/meta-llama-3.2-11b-vision-test@sha256:d48ad671cbc5f6e0c848f455ac2ca7280953fe1cf4039a010968f1cb19b0936f
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/LjoVjObT8FOT8vQFsPfOoxr17sRMDQMihn2C4bzMec3BkDHo/IMG_3310.jpeg",
      "top_p": 0.95,
      "prompt": "Where was this photo taken from?",
      "temperature": 0.3
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

[ "Where was this photo taken from? Answer: The Golden Gate Bridge is a suspension bridge spanning" ]

Generated in

2.0 seconds

Tweak it Share Report

Run time and cost

This model runs on Nvidia L40S GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model doesn't have a readme.