zsxkib / molmo-7b

{
  "text": "What do you see? Give me a detailed answer",
  "image": "https://replicate.delivery/pbxt/LRy82RONNFuqeS0JjwoxJQVxJMkxQ73xdshWr9mhXmRPJWjy/dogonbench.png",
  "top_k": 50,
  "top_p": 1,
  "temperature": 1,
  "length_penalty": 1,
  "max_new_tokens": 200
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run zsxkib/molmo-7b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "zsxkib/molmo-7b:76ebd700864218a4ca97ac1ccff068be7222272859f9ea2ae1dd4ac073fa8de8",
  {
    input: {
      text: "What do you see? Give me a detailed answer",
      image: "https://replicate.delivery/pbxt/LRy82RONNFuqeS0JjwoxJQVxJMkxQ73xdshWr9mhXmRPJWjy/dogonbench.png",
      top_k: 50,
      top_p: 1,
      temperature: 1,
      length_penalty: 1,
      max_new_tokens: 200
    }
  }
);

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

Import the client:

import replicate

Run zsxkib/molmo-7b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "zsxkib/molmo-7b:76ebd700864218a4ca97ac1ccff068be7222272859f9ea2ae1dd4ac073fa8de8",
    input={
        "text": "What do you see? Give me a detailed answer",
        "image": "https://replicate.delivery/pbxt/LRy82RONNFuqeS0JjwoxJQVxJMkxQ73xdshWr9mhXmRPJWjy/dogonbench.png",
        "top_k": 50,
        "top_p": 1,
        "temperature": 1,
        "length_penalty": 1,
        "max_new_tokens": 200
    }
)
print(output)

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

Run zsxkib/molmo-7b 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": "zsxkib/molmo-7b:76ebd700864218a4ca97ac1ccff068be7222272859f9ea2ae1dd4ac073fa8de8",
    "input": {
      "text": "What do you see? Give me a detailed answer",
      "image": "https://replicate.delivery/pbxt/LRy82RONNFuqeS0JjwoxJQVxJMkxQ73xdshWr9mhXmRPJWjy/dogonbench.png",
      "top_k": 50,
      "top_p": 1,
      "temperature": 1,
      "length_penalty": 1,
      "max_new_tokens": 200
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

I see a charming scene featuring a large, fluffy white dog sitting on a wooden bench in the middle of a field. The dog appears to be a poodle mix, with curly fur covering its entire body. It's sitting upright with its front paws hanging over the edge of the bench, looking directly at the camera with a happy expression. The dog's tongue is hanging out, and its eyes are dark and expressive. The bench is made of dark brown wood with a lattice design on the backrest. It's positioned on a patch of brown, dead grass, which suggests it might be late fall or early winter. In the background, there's a vast field filled with tall, brown grass, and further back, I can see a line of bare trees against a light blue sky. The overall atmosphere is peaceful and serene. The dog seems to be enjoying its time outdoors, perhaps waiting for its owner or just taking in the scenery. The contrast between the white, fluffy dog and the brown

Generated in

12.0 seconds

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