lucataco/ollama-llama3.2-vision-11b:d4e81fc1 | Run with an API on Replicate

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lucataco /ollama-llama3.2-vision-11b:d4e81fc1

Playground API

Input

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

npx create-replicate --model=lucataco/ollama-llama3.2-vision-11b

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 lucataco/ollama-llama3.2-vision-11b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/ollama-llama3.2-vision-11b:d4e81fc1472556464f1ee5cea4de177b2fe95a6eaadb5f63335df1ba654597af",
  {
    input: {
      image: "https://replicate.delivery/pbxt/M9qceG4RL6Ov5dpJwPv76d6L1UoNtMAfoGq9OgN6dkp4IJJf/ai2d_test.jpg",
      top_p: 0.95,
      prompt: "What happens when you take out white cat from this chain?",
      max_tokens: 512,
      temperature: 0.7
    }
  }
);

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 lucataco/ollama-llama3.2-vision-11b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/ollama-llama3.2-vision-11b:d4e81fc1472556464f1ee5cea4de177b2fe95a6eaadb5f63335df1ba654597af",
    input={
        "image": "https://replicate.delivery/pbxt/M9qceG4RL6Ov5dpJwPv76d6L1UoNtMAfoGq9OgN6dkp4IJJf/ai2d_test.jpg",
        "top_p": 0.95,
        "prompt": "What happens when you take out white cat from this chain?",
        "max_tokens": 512,
        "temperature": 0.7
    }
)

# The lucataco/ollama-llama3.2-vision-11b model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/lucataco/ollama-llama3.2-vision-11b/api#output-schema
    print(item, end="")

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 lucataco/ollama-llama3.2-vision-11b 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": "lucataco/ollama-llama3.2-vision-11b:d4e81fc1472556464f1ee5cea4de177b2fe95a6eaadb5f63335df1ba654597af",
    "input": {
      "image": "https://replicate.delivery/pbxt/M9qceG4RL6Ov5dpJwPv76d6L1UoNtMAfoGq9OgN6dkp4IJJf/ai2d_test.jpg",
      "top_p": 0.95,
      "prompt": "What happens when you take out white cat from this chain?",
      "max_tokens": 512,
      "temperature": 0.7
    }
  }' \
  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/lucataco/ollama-llama3.2-vision-11b@sha256:d4e81fc1472556464f1ee5cea4de177b2fe95a6eaadb5f63335df1ba654597af \
  -i 'image="https://replicate.delivery/pbxt/M9qceG4RL6Ov5dpJwPv76d6L1UoNtMAfoGq9OgN6dkp4IJJf/ai2d_test.jpg"' \
  -i 'top_p=0.95' \
  -i 'prompt="What happens when you take out white cat from this chain?"' \
  -i 'max_tokens=512' \
  -i 'temperature=0.7'

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/lucataco/ollama-llama3.2-vision-11b@sha256:d4e81fc1472556464f1ee5cea4de177b2fe95a6eaadb5f63335df1ba654597af
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/M9qceG4RL6Ov5dpJwPv76d6L1UoNtMAfoGq9OgN6dkp4IJJf/ai2d_test.jpg",
      "top_p": 0.95,
      "prompt": "What happens when you take out white cat from this chain?",
      "max_tokens": 512,
      "temperature": 0.7
    }
  }' \
  http://localhost:5000/predictions

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

Output

The white cat is not present in the food web. The correct term for a wild animal would be "wildcat." If we were to remove a wildcat from the ecosystem, it would no longer be able to hunt or prey on other animals. This could have cascading effects throughout the entire ecosystem. *Answer*: Wildcat will lose its source of food and nutrients

Generated in

2.7 seconds

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