top_k: 50
top_p: 0.95
prompt: What are the tallest buildings on earth?
temperature: 0.2
max_new_tokens: 512
system_message: You are a helpful AI assistant
prompt_template: <|system|> {system_message}</s> <|user|> {prompt}</s> <|assistant|>

{
  "top_k": 50,
  "top_p": 0.95,
  "prompt": "What are the tallest buildings on earth?",
  "temperature": 0.2,
  "max_new_tokens": 512,
  "system_message": "You are a helpful AI assistant",
  "prompt_template": "<|system|>\n{system_message}</s>\n<|user|>\n{prompt}</s>\n<|assistant|>\n"
}

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 titocosta/notus-7b-v1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "titocosta/notus-7b-v1:dbcd2277b32873525e618545e13e64c3ba121b681cbd2b5f0ee7f95325e7a395",
  {
    input: {
      top_k: 50,
      top_p: 0.95,
      prompt: "What are the tallest buildings on earth?",
      temperature: 0.2,
      max_new_tokens: 512,
      system_message: "You are a helpful AI assistant",
      prompt_template: "<|system|>\n{system_message}</s>\n<|user|>\n{prompt}</s>\n<|assistant|>\n"
    }
  }
);

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 titocosta/notus-7b-v1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "titocosta/notus-7b-v1:dbcd2277b32873525e618545e13e64c3ba121b681cbd2b5f0ee7f95325e7a395",
    input={
        "top_k": 50,
        "top_p": 0.95,
        "prompt": "What are the tallest buildings on earth?",
        "temperature": 0.2,
        "max_new_tokens": 512,
        "system_message": "You are a helpful AI assistant",
        "prompt_template": "<|system|>\n{system_message}</s>\n<|user|>\n{prompt}</s>\n<|assistant|>\n"
    }
)

# The titocosta/notus-7b-v1 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/titocosta/notus-7b-v1/api#output-schema
    print(item, end="")

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

Run titocosta/notus-7b-v1 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": "titocosta/notus-7b-v1:dbcd2277b32873525e618545e13e64c3ba121b681cbd2b5f0ee7f95325e7a395",
    "input": {
      "top_k": 50,
      "top_p": 0.95,
      "prompt": "What are the tallest buildings on earth?",
      "temperature": 0.2,
      "max_new_tokens": 512,
      "system_message": "You are a helpful AI assistant",
      "prompt_template": "<|system|>\\n{system_message}</s>\\n<|user|>\\n{prompt}</s>\\n<|assistant|>\\n"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

As of 2021, the tallest building in the world is the Burj Khalifa in Dubai, United Arab Emirates, which stands at a height of 828 meters (2,716 feet and 8 inches). Here are the top 10 tallest buildings in the world: 1. Burj Khalifa, Dubai, UAE (828 meters) 2. Shanghai Tower, Shanghai, China (632 meters) 3. Makkah Royal Clock Tower Hotel, Mecca, Saudi Arabia (601 meters) 4. Ping An Finance Center, Shenzhen, China (599 meters) 5. One World Trade Center, New York City, USA (546 meters) 6. Taipei 101, Taipei, Taiwan (508 meters) 7. Lotte World Tower, Seoul, South Korea (555 meters) 8. Guangzhou CTF Finance Centre, Guangzhou, China (530 meters) 9. Changsha IFS Tower 1, Changsha, China (528 meters) 10. Nanjing Green Towers, Nanjing, China (506 meters) Note: The heights listed above are of the main structural spire, excluding antennas and other non-structural features.

{
  "completed_at": "2023-12-04T18:51:31.315641Z",
  "created_at": "2023-12-04T18:44:46.539848Z",
  "data_removed": false,
  "error": null,
  "id": "bh4amdtblx5oauqqm5ud33yg5u",
  "input": {
    "top_k": 50,
    "top_p": 0.95,
    "prompt": "What are the tallest buildings on earth?",
    "temperature": 0.2,
    "max_new_tokens": 512,
    "system_message": "You are a helpful AI assistant",
    "prompt_template": "<|system|>\n{system_message}</s>\n<|user|>\n{prompt}</s>\n<|assistant|>\n"
  },
  "logs": "/root/.pyenv/versions/3.10.13/lib/python3.10/site-packages/transformers/generation/utils.py:1517: UserWarning: You have modified the pretrained model configuration to control generation. This is a deprecated strategy to control generation and will be removed soon, in a future version. Please use and modify the model generation configuration (see https://huggingface.co/docs/transformers/generation_strategies#default-text-generation-configuration )\nwarnings.warn(",
  "metrics": {
    "predict_time": 64.664223,
    "total_time": 404.775793
  },
  "output": [
    "",
    "As ",
    "of ",
    "",
    "",
    "",
    "",
    "",
    "2021, ",
    "the ",
    "",
    "tallest ",
    "building ",
    "in ",
    "the ",
    "world ",
    "is ",
    "the ",
    "",
    "Burj ",
    "",
    "",
    "Khalifa ",
    "in ",
    "",
    "",
    "Dubai, ",
    "United ",
    "Arab ",
    "",
    "",
    "",
    "Emirates, ",
    "which ",
    "stands ",
    "at ",
    "a ",
    "height ",
    "of ",
    "",
    "",
    "",
    "828 ",
    "meters ",
    "",
    "",
    "",
    "",
    "",
    "(2,716 ",
    "feet ",
    "and ",
    "",
    "8 ",
    "",
    "inches). ",
    "Here ",
    "are ",
    "the ",
    "top ",
    "",
    "",
    "10 ",
    "",
    "tallest ",
    "buildings ",
    "in ",
    "the ",
    "",
    "world:\n",
    "\n",
    "",
    "",
    "1. ",
    "",
    "Burj ",
    "",
    "",
    "",
    "Khalifa, ",
    "",
    "",
    "Dubai, ",
    "",
    "UAE ",
    "",
    "",
    "",
    "(828 ",
    "",
    "meters)\n",
    "",
    "",
    "2. ",
    "Shanghai ",
    "",
    "Tower, ",
    "",
    "Shanghai, ",
    "China ",
    "",
    "",
    "",
    "(632 ",
    "",
    "meters)\n",
    "",
    "",
    "3. ",
    "",
    "",
    "Makkah ",
    "Royal ",
    "",
    "Clock ",
    "Tower ",
    "",
    "Hotel, ",
    "",
    "",
    "Mecca, ",
    "Saudi ",
    "Arabia ",
    "",
    "",
    "",
    "(601 ",
    "",
    "meters)\n",
    "",
    "",
    "4. ",
    "",
    "Ping ",
    "An ",
    "Finance ",
    "",
    "Center, ",
    "",
    "",
    "",
    "",
    "Shenzhen, ",
    "China ",
    "",
    "",
    "",
    "(599 ",
    "",
    "meters)\n",
    "",
    "",
    "5. ",
    "One ",
    "World ",
    "Trade ",
    "",
    "Center, ",
    "New ",
    "York ",
    "",
    "City, ",
    "USA ",
    "",
    "",
    "",
    "(546 ",
    "",
    "meters)\n",
    "",
    "",
    "6. ",
    "",
    "",
    "Taipei ",
    "",
    "",
    "",
    "",
    "101, ",
    "",
    "",
    "",
    "Taipei, ",
    "Taiwan ",
    "",
    "",
    "",
    "(508 ",
    "",
    "meters)\n",
    "",
    "",
    "7. ",
    "",
    "Lotte ",
    "World ",
    "",
    "Tower, ",
    "",
    "",
    "Seoul, ",
    "South ",
    "Korea ",
    "",
    "",
    "",
    "(555 ",
    "",
    "meters)\n",
    "",
    "",
    "8. ",
    "",
    "",
    "",
    "Guangzhou ",
    "",
    "CTF ",
    "Finance ",
    "",
    "Centre, ",
    "",
    "",
    "",
    "",
    "Guangzhou, ",
    "China ",
    "",
    "",
    "",
    "(530 ",
    "",
    "meters)\n",
    "",
    "",
    "9. ",
    "",
    "",
    "Changsha ",
    "",
    "IFS ",
    "Tower ",
    "",
    "",
    "1, ",
    "",
    "",
    "",
    "Changsha, ",
    "China ",
    "",
    "",
    "",
    "(528 ",
    "",
    "meters)\n",
    "",
    "",
    "",
    "10. ",
    "",
    "",
    "Nanjing ",
    "Green ",
    "",
    "",
    "Towers, ",
    "",
    "",
    "",
    "Nanjing, ",
    "China ",
    "",
    "",
    "",
    "(506 ",
    "",
    "meters)\n",
    "\n",
    "",
    "",
    "Note: ",
    "The ",
    "",
    "heights ",
    "listed ",
    "above ",
    "are ",
    "of ",
    "the ",
    "main ",
    "structural ",
    "",
    "",
    "spire, ",
    "",
    "excluding ",
    "",
    "antennas ",
    "and ",
    "other ",
    "",
    "",
    "",
    "non-structural ",
    "",
    "",
    "features."
  ],
  "started_at": "2023-12-04T18:50:26.651418Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://streaming-api.svc.us.c.replicate.net/v1/predictions/bh4amdtblx5oauqqm5ud33yg5u",
    "get": "https://api.replicate.com/v1/predictions/bh4amdtblx5oauqqm5ud33yg5u",
    "cancel": "https://api.replicate.com/v1/predictions/bh4amdtblx5oauqqm5ud33yg5u/cancel"
  },
  "version": "dbcd2277b32873525e618545e13e64c3ba121b681cbd2b5f0ee7f95325e7a395"
}

Generated in

64.7 seconds

Tweak it Iterate in playground Share Report

Want to make some of these yourself?

Run this model