Prediction

meta/llama-2-13b-chat:df7690f1994d94e96ad9d568eac121aecf50684a0b0963b25a41cc40061269e5

Model

meta/llama-2-13b-chat:df7690f1

nrsrcpzb5jjmbwztxnfyarrmz4

Status

Succeeded

Source

Web

Hardware

A100 (40GB)

Total duration

57.0s

Created

over 1 year ago by @dewijones92

Input

debug
top_p: 1
prompt: User: Here we have a book, nine eggs, a laptop, a bottle and a nail. Please tell me how to stack them onto each other in a stable manner. Please try Assistant:
max_length: 500
temperature: 0.01
repetition_penalty: 1

{
  "debug": true,
  "top_p": 1,
  "prompt": "User: Here we have a book, nine eggs, a laptop, a bottle and a nail. Please tell me how to stack them onto each other in a stable manner. Please try\nAssistant:",
  "max_length": 500,
  "temperature": 0.01,
  "repetition_penalty": 1
}

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 meta/llama-2-13b-chat using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "meta/llama-2-13b-chat:df7690f1994d94e96ad9d568eac121aecf50684a0b0963b25a41cc40061269e5",
  {
    input: {
      debug: true,
      top_p: 1,
      prompt: "User: Here we have a book, nine eggs, a laptop, a bottle and a nail. Please tell me how to stack them onto each other in a stable manner. Please try\nAssistant:",
      max_length: 500,
      temperature: 0.01,
      repetition_penalty: 1
    }
  }
);

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 meta/llama-2-13b-chat using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "meta/llama-2-13b-chat:df7690f1994d94e96ad9d568eac121aecf50684a0b0963b25a41cc40061269e5",
    input={
        "debug": True,
        "top_p": 1,
        "prompt": "User: Here we have a book, nine eggs, a laptop, a bottle and a nail. Please tell me how to stack them onto each other in a stable manner. Please try\nAssistant:",
        "max_length": 500,
        "temperature": 0.01,
        "repetition_penalty": 1
    }
)

# The meta/llama-2-13b-chat 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/meta/llama-2-13b-chat/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 meta/llama-2-13b-chat 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": "df7690f1994d94e96ad9d568eac121aecf50684a0b0963b25a41cc40061269e5",
    "input": {
      "debug": true,
      "top_p": 1,
      "prompt": "User: Here we have a book, nine eggs, a laptop, a bottle and a nail. Please tell me how to stack them onto each other in a stable manner. Please try\\nAssistant:",
      "max_length": 500,
      "temperature": 0.01,
      "repetition_penalty": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Sure, I'd be happy to help! To stack the items on top of each other in a stable manner, you'll want to make sure that each item is balanced and supported by the ones below it. Here's one way you could stack them: 1. Place the laptop on the bottom, flat surface. This will provide a stable base for the rest of the stack. 2. Next, place the bottle on top of the laptop, making sure it is centered and balanced. 3. Place the nail on top of the bottle, again making sure it is centered and balanced. 4. Now, place the eggs on top of the nail, making sure they are balanced and evenly spaced. You may need to adjust the position of the eggs slightly to ensure they are stable. 5. Finally, place the book on top of the eggs, making sure it is balanced and centered. By following these steps, you should be able to stack the items on top of each other in a stable manner. Just remember to be careful when handling the items, especially the eggs, to avoid any accidents or damage.

{
  "completed_at": "2023-07-18T16:57:33.859165Z",
  "created_at": "2023-07-18T16:56:36.902093Z",
  "data_removed": false,
  "error": null,
  "id": "nrsrcpzb5jjmbwztxnfyarrmz4",
  "input": {
    "debug": true,
    "top_p": 1,
    "prompt": "User: Here we have a book, nine eggs, a laptop, a bottle and a nail. Please tell me how to stack them onto each other in a stable manner. Please try\nAssistant:",
    "max_length": 500,
    "temperature": 0.01,
    "repetition_penalty": 1
  },
  "logs": "cur memory: 26219080704\nmax allocated: 30457483776\npeak memory: 41217425408",
  "metrics": {
    "predict_time": 15.512539,
    "total_time": 56.957072
  },
  "output": [
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    " supported",
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    " Here's",
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    " Finally,",
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    " making",
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    " it",
    " is",
    " balanced",
    " and",
    " centered.\nBy",
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    " steps,",
    " you",
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    " each",
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    " in",
    " a",
    " stable",
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    " Just",
    " remember",
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    " any",
    " accidents",
    " or",
    " damage."
  ],
  "started_at": "2023-07-18T16:57:18.346626Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/nrsrcpzb5jjmbwztxnfyarrmz4",
    "cancel": "https://api.replicate.com/v1/predictions/nrsrcpzb5jjmbwztxnfyarrmz4/cancel"
  },
  "version": "df7690f1994d94e96ad9d568eac121aecf50684a0b0963b25a41cc40061269e5"
}

Generated in

15.5 seconds

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