meta/llama-2-13b-chat:df7690f1 – Run with an API on Replicate

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

Input

prompt

*string

Shift + Return to add a new line

User: please provide 10 fun names for a pet pelican. Please come up with unique emojis to go along with each name. Try not to repeat the same emojis. Make them fun, colorful, and loving names
Assistant:User: please provide 10 fun names for a pet pelican. Please come up with unique emojis to go along with each name. Try not to repeat the same emojis. Make them fun, colorful, and loving names
Assistant:

Prompt to send to Llama v2.

max_length

integer

(minimum: 1)

Maximum number of tokens to generate. A word is generally 2-3 tokens

Default: 500

temperature

number

(minimum: 0.01, maximum: 5)

Adjusts randomness of outputs, greater than 1 is random and 0 is deterministic, 0.75 is a good starting value.

Default: 0.75

top_p

number

(minimum: 0.01, maximum: 1)

When decoding text, samples from the top p percentage of most likely tokens; lower to ignore less likely tokens

Default: 1

repetition_penalty

number

(minimum: 0.01, maximum: 5)

Penalty for repeated words in generated text; 1 is no penalty, values greater than 1 discourage repetition, less than 1 encourage it.

Default: 1

debug

boolean

provide debugging output in logs

Default: false

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

npx create-replicate --model=meta/llama-2-13b-chat

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 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: false,
      top_p: 0.41,
      prompt: "User: please provide 10 fun names for a pet pelican. Please come up with unique emojis to go along with each name. Try not to repeat the same emojis. Make them fun, colorful, and loving names\nAssistant:",
      max_length: 1000,
      temperature: 2.87,
      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": False,
        "top_p": 0.41,
        "prompt": "User: please provide 10 fun names for a pet pelican. Please come up with unique emojis to go along with each name. Try not to repeat the same emojis. Make them fun, colorful, and loving names\nAssistant:",
        "max_length": 1000,
        "temperature": 2.87,
        "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": false,
      "top_p": 0.41,
      "prompt": "User: please provide 10 fun names for a pet pelican. Please come up with unique emojis to go along with each name. Try not to repeat the same emojis. Make them fun, colorful, and loving names\\nAssistant:",
      "max_length": 1000,
      "temperature": 2.87,
      "repetition_penalty": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Here are 10 fun and unique name suggestions for your pet pelican, along with corresponding emojis to match each name: 🐦 Luna 🌙 - a mystical name that conjures up images of celestial wonder. 🐧 Captain Pelli 🏴‍☠️ - a fun and playful name that captures the bird's pirate spirit. 🦠 Prof. Pelly P. 🐝 - a learned and wise name that reflects the pelican's intelligent nature. 🐠 Flappy McFlapster 🤣 - a lighthearted and silly name that suits a playful and lively pelican. 🐕 Pelty the Peli-Puppy 🐾 - a sweet and cuddly name that pairs well with the bird's friendly demeanor. 🎨 Pelli Pixel 🖼️ - a whimsical name that celebrates the bird's unique coloring and patterning. 🏠 Sir Pells A-Lot 🐠 - a regal and formal name that befits a stately and majestic pelican. 🐚 Lily Pellicano 🐌 - a charming and feminine name that complements the bird's delicate features. 🎭 Peli Popcorn 🍿 - a playful and theatrical name that matches the bird's showy antics.

{
  "completed_at": "2023-07-18T08:20:48.510025Z",
  "created_at": "2023-07-18T08:20:26.801006Z",
  "data_removed": false,
  "error": null,
  "id": "whgzw5jbkb7gkd6k6k52cvemhi",
  "input": {
    "top_p": 0.41,
    "prompt": "User: please provide 10 fun names for a pet pelican. Please come up with unique emojis to go along with each name. Try not to repeat the same emojis. Make them fun, colorful, and loving names\nAssistant:",
    "max_length": 1000,
    "temperature": 2.87,
    "repetition_penalty": 1
  },
  "logs": null,
  "metrics": {
    "predict_time": 21.794481,
    "total_time": 21.709019
  },
  "output": [
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    " name:\n\n\n🐦",
    " Luna",
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    " \n\n🐧",
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    " \n\n🦠",
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    " the",
    " pelican's",
    " intelligent",
    " nature.",
    " \n\n🐠",
    " Flappy",
    " McFlapster",
    " 🤣",
    " -",
    " a",
    " lighthearted",
    " and",
    " silly",
    " name",
    " that",
    " suits",
    " a",
    " playful",
    " and",
    " lively",
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    " \n\n🐕",
    " Pelty",
    " the",
    " Peli-Puppy",
    " 🐾",
    " -",
    " a",
    " sweet",
    " and",
    " cuddly",
    " name",
    " that",
    " pairs",
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    " the",
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    " friendly",
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    " \n\n🎨",
    " Pelli",
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    " 🖼️",
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    " whimsical",
    " name",
    " that",
    " celebrates",
    " the",
    " bird's",
    " unique",
    " coloring",
    " and",
    " patterning.",
    " \n\n🏠",
    " Sir",
    " Pells",
    " A-Lot",
    " 🐠",
    " -",
    " a",
    " regal",
    " and",
    " formal",
    " name",
    " that",
    " befits",
    " a",
    " stately",
    " and",
    " majestic",
    " pelican.",
    " \n\n🐚",
    " Lily",
    " Pellicano",
    " 🐌",
    " -",
    " a",
    " charming",
    " and",
    " feminine",
    " name",
    " that",
    " complements",
    " the",
    " bird's",
    " delicate",
    " features.",
    " \n\n🎭",
    " Peli",
    " Popcorn",
    " 🍿",
    " -",
    " a",
    " playful",
    " and",
    " theatrical",
    " name",
    " that",
    " matches",
    " the",
    " bird's",
    " showy",
    " antics."
  ],
  "started_at": "2023-07-18T08:20:26.715544Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/whgzw5jbkb7gkd6k6k52cvemhi",
    "cancel": "https://api.replicate.com/v1/predictions/whgzw5jbkb7gkd6k6k52cvemhi/cancel"
  },
  "version": "df7690f1994d94e96ad9d568eac121aecf50684a0b0963b25a41cc40061269e5"
}

Generated in

21.8 seconds

Tweak it Report